spss常用统计词汇中英对照表

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spss常用统计词汇中英对照表-18页精选文档

统计词汇英汉对照Absolute deviation, 绝对离差Absolute number, 绝对数Absolute residuals, 绝对残差Acceptable hypothesis, 可接受假设Accumulation, 累积ccuracy, 准确度Actual frequency, 实际频数Addition, 相加Additivity, 可加性Adjusted rate, 调整率Adjusted value, 校正值Admissible error, 容许误差Aggregation, 聚集性Alternative hypothesis, 备择假设Among groups, 组间Amounts, 总量Analysis of correlation, 相关分析Analysis of covariance, 协方差分析Analysis of regression, 回归分析Analysis of time series, 时间序列分析Analysis of variance, 方差分析ANOVA （analysis of variance）, 方差分析ANOVA Models, 方差分析模型Arcing, 弧/弧旋Arcsine transformation, 反正弦变换Area under the curve, 曲线面积AREG , 评估从一个时间点到下一个时间点回归相关时的误差Arithmetic mean, 算术平均数rrhenius relation, 艾恩尼斯关系Assessing fit, 拟合的评估Asymmetric distribution, 非对称分布Asymptotic efficiency, 渐近效率Asymptotic variance, 渐近方差Attributable risk, 归因危险度Attribute data, 属性资料Attribution, 属性Autocorrelation, 自相关Autocorrelation of residuals, 残差的自相关Average, 平均数Average confidence interval length, 平均置信区间长度Average growth rate, 平均增长率Bar chart, 条形图Bar graph, 条形图Base period, 基期Bayes' theorem , Bayes定理Bell-shaped curve, 钟形曲线Bernoulli distribution, 伯努力分布Best-trim estimator, 最好切尾估计量Bias, 偏性Binary logistic regression, 二元逻辑斯蒂回归Binomial distribution, 二项分布Bisquare, 双平方Bivariate Correlate, 二变量相关Bivariate normal distribution, 双变量正态分布Bivariate normal population, 双变量正态总体Biweight M-estimator, 双权M估计量BMDP(Biomedical computer programs), BMDP统计软件包Boxplots, 箱线图/箱尾图Canonical correlation, 典型相关Caption, 纵标目Case-control study, 病例对照研究Categorical variable, 分类变量Catenary, 悬链线Cauchy distribution, 柯西分布Cause-and-effect relationship, 因果关系Cell, 单元Censoring, 终检Center of symmetry, 对称中心Centering and scaling, 中心化和定标Central tendency, 集中趋势Central value, 中心值CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测Chance, 机遇Chance error, 随机误差Chance variable, 随机变量Characteristic equation, 特征方程Characteristic root, 特征根Characteristic vector, 特征向量Chebshev criterion of fit, 拟合的切比雪夫准则Chernoff faces, 切尔诺夫脸谱图Chi-square test, 卡方检验/χ2检验Choleskey decomposition, 乔洛斯基分解Circle chart, 圆图Class interval, 组距Class mid-value, 组中值Class upper limit, 组上限Classified variable, 分类变量Cluster analysis, 聚类分析Cluster sampling, 整群抽样Coefficient of contingency, 列联系数Coefficient of determination, 决定系数Coefficient of multiple correlation, 多重相关系数Coefficient of partial correlation, 偏相关系数Coefficient of production-moment correlation, 积差相关系数Coefficient of rank correlation, 等级相关系数Coefficient of regression, 回归系数Coefficient of skewness, 偏度系数Coefficient of variation, 变异系数Cohort study, 队列研究Column, 列Column effect, 列效应Column factor, 列因素Combination pool, 合并Combinative table, 组合表Common factor, 共性因子Common regression coefficient, 公共回归系数Common value, 共同值Common variance, 公共方差Common variation, 公共变异Communality variance, 共性方差Comparability, 可比性Comparison of bathes, 批比较Comparison value, 比较值Compartment model, 分部模型Compassion, 伸缩Complement of an event, 补事件Complete association, 完全正相关Complete dissociation, 完全不相关Complete statistics, 完备统计量Completely randomized design, 完全随机化设计Composite event, 联合事件Composite events, 复合事件Concavity, 凹性Conditional expectation, 条件期望Conditional likelihood, 条件似然Conditional probability, 条件概率Conditionally linear, 依条件线性Confidence interval, 置信区间Confidence limit, 置信限Confidence lower limit, 置信下限Confidence upper limit, 置信上限Confirmatory Factor Analysis , 验证性因子分析Confounding factor, 混杂因素Conjoint, 联合分析Consistency, 相合性Consistency check, 一致性检验Consistent asymptotically normal estimate, 相合渐近正态估计Consistent estimate, 相合估计Constrained nonlinear regression, 受约束非线性回归Contour, 边界线Contribution rate, 贡献率Control, 对照Controlled experiments, 对照实验Conventional depth, 常规深度Corrected factor, 校正因子Corrected mean, 校正均值Correction coefficient, 校正系数Correctness, 正确性Correlation coefficient, 相关系数Correlation index, 相关指数Counting, 计数Counts, 计数/频数Covariance, 协方差Cox Regression, Cox回归Criteria for fitting, 拟合准则Criteria of least squares, 最小二乘准则Critical ratio, 临界比Critical region, 拒绝域Critical value, 临界值Cumulative distribution function, 分布函数D test, D检验Data acquisition, 资料收集Data bank, 数据库Data capacity, 数据容量Data deficiencies, 数据缺乏Data handling, 数据处理Data manipulation, 数据处理Data processing, 数据处理Data set, 数据集Data sources, 数据来源Data transformation, 数据变换Data validity, 数据有效性Data-in, 数据输入Data-out, 数据输出Degree of freedom, 自由度Degree of reliability, 可靠性程度Density function, 密度函数Density of data points, 数据点的密度Dependent variable, 应变量/依变量/因变量Dependent variable, 因变量Depth, 深度Derivative matrix, 导数矩阵Derivative-free methods, 无导数方法Design, 设计Determinacy, 确定性Determinant, 行列式Determinant, 决定因素Deviation, 离差Deviation from average, 离均差Dichotomous variable, 二分变量Differential equation, 微分方程Direct standardization, 直接标准化法Discrete variable, 离散型变量DISCRIMINANT, 判断Discriminant analysis, 判别分析Discriminant coefficient, 判别系数Discriminant function, 判别值Dispersion, 散布/分散度Downward rank, 降秩Effect, 实验效应Eigenvalue, 特征值Eigenvector, 特征向量Ellipse, 椭圆Empirical distribution, 经验分布Empirical probability, 经验概率单位Enumeration data, 计数资料Equally likely, 等可能Equivariance, 同变性Error, 误差/错误Error of estimate, 估计误差Error type I, 第一类错误Error type II, 第二类错误Estimated error mean squares, 估计误差均方Estimated error sum of squares, 估计误差平方和Euclidean distance, 欧式距离Event, 事件Event, 事件Exceptional data point, 异常数据点Expected values, 期望值Experiment, 实验Experimental sampling, 试验抽样Experimental unit, 试验单位Explanatory variable, 说明变量Exploratory data analysis, 探索性数据分析Explore Summarize, 探索-摘要Exponential curve, 指数曲线Exponential growth, 指数式增长EXSMOOTH, 指数平滑方法Extended fit, 扩充拟合Extra parameter, 附加参数Extrapolation, 外推法Extreme observation, 末端观测值Extremes, 极端值/极值 F distribution, F分布F test, F检验Factor, 因素/因子Factor analysis, 因子分析Factor Analysis, 因子分析Factor score, 因子得分Family of distributions, 分布族Field investigation, 现场调查Field survey, 现场调查Finite population, 有限总体Finite-sample, 有限样本First derivative, 一阶导数First principal component, 第一主成分First quartile, 第一四分位数Fitted value, 拟合值Fitting a curve, 曲线拟合Fixed base, 定基Fluctuation, 随机起伏Forecast, 预测Four fold table, 四格表Fourth, 四分点Fraction blow, 左侧比率Fractional error, 相对误差Frequency, 频率Frequency polygon, 频数多边图Frontier point, 界限点Function relationship, 泛函关系Gamma distribution, 伽玛分布Gauss increment, 高斯增量Gaussian distribution, 高斯分布/正态分布General census, 全面普查GENLOG (Generalized liner models), 广义线性模型Geometric mean, 几何平均数GLM (General liner models), 通用线性模型Goodness of fit, 拟和优度/配合度Gradient of determinant, 行列式的梯度Grand mean, 总均值Group averages, 分组平均Grouped data, 分组资料Guessed mean, 假定平均数Half-life, 半衰期Happenstance, 偶然事件Harmonic mean, 调和均数Hazard function, 风险均数Hazard rate, 风险率Heading, 标目Heavy-tailed distribution, 重尾分布Heterogeneity of variance, 方差不齐Hierarchical classification, 组内分组Hierarchical clustering method, 系统聚类法HILOGLINEAR, 多维列联表的层次对数线性模型Hinge, 折叶点Histogram, 直方图HOMALS, 多重响应分析Homogeneity of variance, 方差齐性Homogeneity test, 齐性检验Huber M-estimators, 休伯M估计量Hyperbola, 双曲线Hypothesis testing, 假设检验Hypothetical universe, 假设总体Impossible event, 不可能事件Independence, 独立性Independent variable, 自变量Index, 指标/指数Indirect standardization, 间接标准化法Individual, 个体Inference band, 推断带Infinite population, 无限总体Infinitely great, 无穷大Infinitely small, 无穷小Influence curve, 影响曲线Information capacity, 信息容量Initial condition, 初始条件Initial estimate, 初始估计值Initial level, 最初水平Interaction, 交互作用Interaction terms, 交互作用项Intercept, 截距Interpolation, 内插法Interquartile range, 四分位距Interval estimation, 区间估计Intervals of equal probability, 等概率区间Intrinsic curvature, 固有曲率Invariance, 不变性Inverse matrix, 逆矩阵Inverse probability, 逆概率Inverse sine transformation, 反正弦变换Iteration, 迭代Jacobian determinant, 雅可比行列式Joint distribution function, 分布函数Joint probability, 联合概率Joint probability distribution, 联合概率分布K means method, 逐步聚类法Kaplan-Merier chart, Kaplan-Merier图Kendall's rank correlation, Kendall等级相关Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验Kurtosis, 峰度Lack of fit, 失拟Ladder of powers, 幂阶梯Large sample, 大样本Large sample test, 大样本检验Latin square, 拉丁方Latin square design, 拉丁方设计Least favorable configuration, 最不利构形Least favorable distribution, 最不利分布Least significant difference, 最小显著差法Least square method, 最小二乘法Least-absolute-residuals estimates, 最小绝对残差估计Least-absolute-residuals fit, 最小绝对残差拟合Least-absolute-residuals line, 最小绝对残差线Legend, 图例L-estimator, L估计量L-estimator of location, 位置L估计量L-estimator of scale, 尺度L估计量Level, 水平Life table, 寿命表Life table method, 生命表法Light-tailed distribution, 轻尾分布Likelihood function, 似然函数Likelihood ratio, 似然比line graph, 线图Linear correlation, 直线相关Linear equation, 线性方程Linear programming, 线性规划Linear regression, 直线回归Linear Regression, 线性回归Linear trend, 线性趋势Loading, 载荷Location and scale equivariance, 位置尺度同变性Location equivariance, 位置同变性Location invariance, 位置不变性Location scale family, 位置尺度族Log rank test, 时序检验Logarithmic curve, 对数曲线Logarithmic normal distribution, 对数正态分布Logarithmic scale, 对数尺度Logarithmic transformation, 对数变换Logic check, 逻辑检查Logistic distribution, 逻辑斯特分布Logit transformation, Logit转换LOGLINEAR, 多维列联表通用模型Lognormal distribution, 对数正态分布Lost function, 损失函数Low correlation, 低度相关Lower limit, 下限Lowest-attained variance, 最小可达方差LSD, 最小显著差法的简称Lurking variable, 潜在变量Main effect, 主效应Marginal density function, 边缘密度函数Marginal probability, 边缘概率Marginal probability distribution, 边缘概率分布Matching of transformation, 变换的匹配Mathematical expectation, 数学期望Mathematical model, 数学模型Maximum L-estimator, 极大极小L 估计量Maximum likelihood method, 最大似然法Mean, 均数Mean squares between groups, 组间均方Mean squares within group, 组内均方Means (Compare means), 均值-均值比较Median, 中位数Median effective dose, 半数效量Median polish, 中位数平滑Median test, 中位数检验Minimal sufficient statistic, 最小充分统计量Minimum distance estimation, 最小距离估计Minimum variance estimator, 最小方差估计量MINITAB, 统计软件包Missing data, 缺失值Model specification, 模型的确定Modeling Statistics , 模型统计Models for outliers, 离群值模型Modifying the model, 模型的修正Most favorable configuration, 最有利构形Multidimensional Scaling (ASCAL), 多维尺度/多维标度Multinomial Logistic Regression , 多项逻辑斯蒂回归Multiple comparison, 多重比较Multiple correlation , 复相关Multiple covariance, 多元协方差Multiple linear regression, 多元线性回归Multiple response , 多重选项Multiple solutions, 多解Multiplication theorem, 乘法定理Multiresponse, 多元响应Multi-stage sampling, 多阶段抽样Multivariate T distribution, 多元T分布Mutual exclusive, 互不相容Mutual independence, 互相独立Negative correlation, 负相关Negative linear correlation, 负线性相关Negatively skewed, 负偏Newman-Keuls method, q检验NK method, q检验No statistical significance, 无统计意义Nominal variable, 名义变量Nonlinear regression, 非线性相关Nonparametric statistics, 非参数统计Nonparametric test, 非参数检验Normal deviate, 正态离差Normal distribution, 正态分布Normal ranges, 正常范围Normal value, 正常值Nuisance parameter, 多余参数/讨厌参数Null hypothesis, 无效假设Numerical variable, 数值变量Objective function, 目标函数Observation unit, 观察单位Observed value, 观察值One sided test, 单侧检验One-way analysis of variance, 单因素方差分析Oneway ANOVA , 单因素方差分析Order statistics, 顺序统计量Ordered categories, 有序分类Ordinal logistic regression , 序数逻辑斯蒂回归Ordinal variable, 有序变量Orthogonal basis, 正交基Orthogonal design, 正交试验设计Orthogonality conditions, 正交条件ORTHOPLAN, 正交设计Outlier cutoffs, 离群值截断点Outliers, 极端值OVERALS , 多组变量的非线性正规相关Paired design, 配对设计Paired sample, 配对样本Parallel tests, 平行试验Parameter, 参数Parametric statistics, 参数统计Parametric test, 参数检验Partial correlation, 偏相关Partial regression, 偏回归Pearson curves, 皮尔逊曲线Percent bar graph, 百分条形图Percentage, 百分比Percentile, 百分位数Percentile curves, 百分位曲线Periodicity, 周期性Permutation, 排列P-estimator, P估计量Pie graph, 饼图Pitman estimator, 皮特曼估计量Point estimation, 点估计Poisson distribution, 泊松分布Population, 总体Positive correlation, 正相关Positively skewed, 正偏Posterior distribution, 后验分布Power of a test, 检验效能Precision, 精密度Predicted value, 预测值Principal component analysis, 主成分分析Prior distribution, 先验分布Prior probability, 先验概率Probabilistic model, 概率模型probability, 概率Probability density, 概率密度Product moment, 乘积矩/协方差Profile trace, 截面迹图Proportion, 比/构成比Proportion allocation in stratified random sampling, 按比例分层随机抽样Proportionate sub-class numbers, 成比例次级组含量Pseudo F test, 近似F检验Pseudo model, 近似模型Pseudosigma, 伪标准差Purposive sampling, 有目的抽样QR decomposition, QR分解Quadratic approximation, 二次近似Qualitative classification, 属性分类Qualitative method, 定性方法Quantile-quantile plot, 分位数-分位数图/Q-Q图Quantitative analysis, 定量分析Quartile, 四分位数Quick Cluster, 快速聚类Radix sort, 基数排序Random allocation, 随机化分组Random blocks design, 随机区组设计Random event, 随机事件Randomization, 随机化Range, 极差/全距Rank correlation, 等级相关Rank sum test, 秩和检验Rank test, 秩检验Ranked data, 等级资料Rate, 比率Ratio, 比例Raw data, 原始资料Raw residual, 原始残差Reciprocal, 倒数Reducing dimensions, 降维Region of acceptance, 接受域Regression coefficient, 回归系数Regression sum of square, 回归平方和Relative dispersion, 相对离散度Relative number, 相对数Reliability, 可靠性Reparametrization, 重新设置参数Replication, 重复Report Summaries, 报告摘要Residual sum of square, 剩余平方和Resistance, 耐抗性R-estimator of location, 位置R估计量R-estimator of scale, 尺度R估计量Retrospective study, 回顾性调查Rotation, 旋转Row, 行Row factor, 行因素Sample, 样本Sample regression coefficient, 样本回归系数Sample size, 样本量Sample standard deviation, 样本标准差Sampling error, 抽样误差SAS(Statistical analysis system ), SAS统计软件包Scale, 尺度/量表Scatter diagram, 散点图Schematic plot, 示意图/简图Second derivative, 二阶导数Second principal component, 第二主成分SEM (Structural equation modeling), 结构化方程模型Sequential analysis, 贯序分析Sequential data set, 顺序数据集Sequential design, 贯序设计Sequential method, 贯序法Sequential test, 贯序检验法Sigmoid curve, S形曲线Sign test, 符号检验Signed rank, 符号秩Significance test, 显著性检验Significant figure, 有效数字Simple cluster sampling, 简单整群抽样Simple correlation, 简单相关Simple random sampling, 简单随机抽样Simple regression, 简单回归simple table, 简单表Single-valued estimate, 单值估计Singular matrix, 奇异矩阵Skewed distribution, 偏斜分布Skewness, 偏度Slash distribution, 斜线分布Smirnov test, 斯米尔诺夫检验Spearman rank correlation, 斯皮尔曼等级相关Specific factor, 特殊因子Specific factor variance, 特殊因子方差Spherical distribution, 球型正态分布SPSS(Statistical package for the social science), SPSS统计软件包Standard deviation, 标准差Standard error, 标准误Standard error of difference, 差别的标准误Standard error of estimate, 标准估计误差Standard error of rate, 率的标准误Standard normal distribution, 标准正态分布Standardization, 标准化Starting value, 起始值Statistic, 统计量Statistical control, 统计控制Statistical graph, 统计图Statistical inference, 统计推断Statistical table, 统计表Steepest descent, 最速下降法Stem and leaf display, 茎叶图Step factor, 步长因子Stepwise regression, 逐步回归Storage, 存Strata, 层（复数）Stratified sampling, 分层抽样Stratified sampling, 分层抽样Studentized residual, 学生化残差/t化残差Sufficient statistic, 充分统计量Sum of products, 积和Sum of squares, 离差平方和Sum of squares about regression, 回归平方和Sum of squares between groups, 组间平方和Sum of squares of partial regression, 偏回归平方和Sure event, 必然事件Survey, 调查Survival, 生存分析Survival rate, 生存率Symmetry, 对称Systematic error, 系统误差Systematic sampling, 系统抽样Tags, 标签Tail area, 尾部面积Tail length, 尾长Tail weight, 尾重Target distribution, 目标分布Taylor series, 泰勒级数Tendency of dispersion, 离散趋势Testing of hypotheses, 假设检验Theoretical frequency, 理论频数Time series, 时间序列Tolerance interval, 容忍区间Total sum of square, 总平方和Total variation, 总变异Transformation, 转换Treatment, 处理Trend, 趋势Trend of percentage, 百分比趋势Trial, 试验Trial and error method, 试错法Two sided test, 双向检验Two-stage least squares, 二阶最小平方Two-tailed test, 双侧检验Two-way analysis of variance, 双因素方差分析Type I error, 一类错误/α错误Type II error, 二类错误/β错误UMVU, 方差一致最小无偏估计简称Unbiased estimate, 无偏估计Unconstrained nonlinear regression , 无约束非线性回归Unequal subclass number, 不等次级组含量Ungrouped data, 不分组资料Uniform coordinate, 均匀坐标Uniform distribution, 均匀分布Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计Upper limit, 上限Upward rank, 升秩Validity, 有效性VARCOMP (Variance component estimation), 方差元素估计Variability, 变异性Variable, 变量Variance, 方差Variation, 变异Varimax orthogonal rotation, 方差最大正交旋转W test, W检验Weibull distribution, 威布尔分布Weight, 权数Weighted Chi-square test, 加权卡方检验/Cochran检验Weighted linear regression method, 加权直线回归Weighted mean, 加权平均数Weighted mean square, 加权平均方差Weighted sum of square, 加权平方和Weighting coefficient, 权重系数Weighting method, 加权法W-estimation, W估计量W-estimation of location, 位置W估计量Width, 宽度Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验Z test, Z检验Zero correlation, 零相关Z-transformation, Z变换。

spss常用统计词汇中英对照表

SPSS词汇大全(中英文对照)

S2.Frequencies过程:该过程对定义的多响应变量提供一个频数表。

3．Crosstaｂｓ过程：该过程提供所定义的多响应变量与其他变量的交叉分类表.SPSS词汇（中英文对照）Aｂｓolute ｄevｉation, 绝对离差Abｓolute numbeｒ, 绝对数Absoｌute reｓiduals, 绝对残差Accelｅrａtioｎａｒray，加速度立体阵Ａcｃeｌeｒaｔｉｏnｉn aｎarbitｒａry dirｅcｔion，任意方向上的加速度Aｃcelｅratｉon ｎormal,法向加速度Acceleration ｓpace dimensｉon,加速度空间的维数Acceｌeraｔiｏn taｎgeｎtｉal，切向加速度Acｃeｌｅratiｏn vｅctor，加速度向量Ａｃｃepｔａble hypｏtheｓiｓ, 可接受假设Aｃｃumulａtion, 累积Accuｒacy，准确度Aｃｔual ｆrｅqｕency,实际频数Adaｐtｉvｅｅstimaｔor, 自适应估计量Addition，相加Addｉtiｏｎtｈeoｒem，加法定理Addｉtivitｙ，可加性Ａｄｊusted raｔe, 调整率Ａdｊusｔeｄvalue,校正值Aｄｍissible eｒｒｏr, 容许误差Aｇgｒegａtｉon, 聚集性Alternaｔｉｖe hｙpotｈeｓis, 备择假设Amoｎｇgroups，组间Amｏunts，总量Anaｌyｓｉs of ｃorrelａtion，相关分析Ａｎaｌｙsｉs of cｏvariａnｃe，协方差分析Analysis ｏf rｅgｒession，回归分析Analysis of tiｍｅｓeriｅｓ,时间序列分析Anａlysiｓof variａnce，方差分析Ａngｕlarｔｒanｓformaｔion，角转换ANOVA(anaｌｙsis oｆvarianｃe），方差分析ＡＮOVA Modｅｌs，方差分析模型Ａrｃing,弧/弧旋Ａｒｃsine tranｓｆｏｒｍation，反正弦变换Area under the curｖe, 曲线面积AREG ，评估从一个时间点到下一个时间点回归相关时的误差ARＩＭA，季节和非季节性单变量模型的极大似然估计Ａｒitｈmetic gｒid paper，算术格纸Aｒithmetic mｅan，算术平均数Arrheniusｒelatｉon，艾恩尼斯关系Assessing ｆit, 拟合的评估Asｓoｃiative lａws, 结合律Ａsymｍetｒｉc diｓtrｉbutｉon，非对称分布Aｓympｔoｔic bias, 渐近偏倚Asymｐｔotic efｆｉcｉｅncy，渐近效率Asympｔotｉc varｉance，渐近方差Ａttribuｔａble rｉsｋ，归因危险度Aｔtｒiｂuteｄatａ，属性资料Attriｂutｉon, 属性Aｕtocorrelation，自相关Autocorrelation of resｉｄuals，残差的自相关Avｅｒａge,平均数Avｅragｅcoｎｆｉdｅnce interval ｌengtｈ，平均置信区间长度Averaｇｅgｒowth rａtｅ，平均增长率Bar chart，条形图Bar graph,条形图Baｓe perｉoｄ，基期Bayes’thｅorem ，Baｙeｓ定理Beｌl－shaped curve，钟形曲线Bernouｌｌｉｄiｓtｒｉbution，伯努力分布Besｔ—trｉm esｔｉmatoｒ，最好切尾估计量Bias，偏性Binaryｌogistic reｇｒeｓsiｏn，二元逻辑斯蒂回归Binomiaｌdiｓｔｒibution, 二项分布Bisquａre，双平方Bｉｖａriate Corｒeｌaｔe，二变量相关Bｉvariate normal dｉstrｉbutiｏn，双变量正态分布Ｂｉvarｉateｎormaｌpｏpuｌation, 双变量正态总体Bｉweigｈｔiｎterｖal，双权区间Biweight M—eｓtｉｍator, 双权M估计量Bｌock, 区组/配伍组BMＤP(Biomedicａl cｏmpｕteｒpｒogramｓ）, BMDP统计软件包Boxpｌots，箱线图/箱尾图Breaｋdown bound，崩溃界/崩溃点Ｃaｎonical ｃｏｒrelａtion，典型相关Cａpｔion, 纵标目Cａse-ｃoｎtrｏl sｔuｄy，病例对照研究Categorｉcaｌｖariaｂlｅ，分类变量Ｃatenary, 悬链线Ｃauchy ｄistribｕｔiｏn，柯西分布Caｕse-aｎｄ—eｆfect ｒelａtionship, 因果关系Ｃell, 单元Cｅnsｏriｎg，终检Ｃeｎｔeｒof symmetrｙ, 对称中心Cenｔeriｎg and sｃalinｇ, 中心化和定标Cenｔraｌtendeｎcｙ,集中趋势Ｃentral vａluｅ，中心值CHＡID -χ２AutｏｍatiｃIｎｔｅｒactiｏn Ｄeｔｅctor，卡方自动交互检测Ｃhancｅ, 机遇Chａnce ｅｒｒｏｒ,随机误差Ｃhaｎce vａriable，随机变量Chａraｃtｅrisｔicｅquａtioｎ, 特征方程Chaｒactｅriｓｔic root，特征根Charactｅristic veｃｔor, 特征向量Chebsｈｅv criteriｏnｏｆfｉt,拟合的切比雪夫准则Chｅrnｏfｆfacｅs，切尔诺夫脸谱图Chi—squａｒe test, 卡方检验／χ2检验Cｈoleｓkey decompoｓition，乔洛斯基分解Ciｒｃlｅcharｔ，圆图Clasｓintｅrvaｌ, 组距Ｃlaｓsｍid－vaｌue，组中值Clasｓuppｅr ｌimｉｔ，组上限Ｃlassiｆiｅｄｖariable，分类变量Cluｓｔer analｙsis，聚类分析Ｃlｕｓｔer sａmｐling,整群抽样Ｃｏdｅ, 代码Coｄｅd ｄaｔａ，编码数据Codｉｎｇ, 编码Ｃoefｆicient of contingency, 列联系数Coeｆficiｅｎt of deteｒmiｎatiｏｎ，决定系数Ｃｏｅfficｉｅntｏｆmultｉple ｃorｒelａtion，多重相关系数Coeffｉｃient of parｔｉal correlation，偏相关系数Coefｆicient oｆpｒodｕｃｔion－moment corrｅlａtion，积差相关系数Coefｆicientｏf raｎk correlation，等级相关系数Coefficieｎt of rｅｇｒｅssion, 回归系数Coeffｉｃieｎt oｆsｋeｗnesｓ, 偏度系数Coeｆfiｃient oｆvariａtioｎ, 变异系数Cohoｒt ｓtudy, 队列研究Coｌumn，列Coluｍn efｆｅcｔ, 列效应Cｏlumn fａctor，列因素Cｏmbiｎaｔion pｏｏl，合并Combinative table，组合表Ｃｏmmｏnｆactor，共性因子Common rｅgrｅssion coeffｉcient, 公共回归系数Coｍｍoｎｖａlue，共同值Commoｎｖaｒiance,公共方差Comｍon varｉatioｎ，公共变异Communalｉtｙｖａrｉanｃｅ,共性方差Ｃomparaｂilｉｔy，可比性Ｃoｍpaｒisｏn of bａthes,批比较Compaｒisｏｎvalue，比较值Ｃompartment mｏdel,分部模型Ｃompassion，伸缩Complｅment oｆan eｖent, 补事件Ｃomｐｌete associａtｉoｎ,完全正相关Ｃoｍpｌeｔe disｓｏｃiation, 完全不相关Compｌeｔｅstａtｉsticｓ，完备统计量Cｏｍpleteｌｙｒaｎdoｍized ｄesｉｇn,完全随机化设计Comｐosiｔeｅvｅnt,联合事件Ｃomｐosite evｅnts，复合事件Concaviｔy，凹性Coｎditionaｌexpectatｉｏn，条件期望Condiｔional lｉkeｌihood，条件似然Condiｔｉoｎaｌprobａｂiｌity，条件概率Conｄitionａｌly ｌinear，依条件线性Conｆidｅnce ｉnterval，置信区间Conｆｉdｅnｃｅlｉmiｔ，置信限Cｏnfidencｅlowｅｒlimｉt, 置信下限Confidence uｐpｅｒｌｉｍit，置信上限Confirmatory ＦaｃtoｒＡｎalyｓis ，验证性因子分析Confiｒmatory researcｈ，证实性实验研究Ｃonfouｎdｉng factor, 混杂因素Cｏnｊoｉnｔ，联合分析Cｏnsistenｃｙ，相合性Cｏｎsｉsｔｅncy cheｃk，一致性检验Consiｓtｅnt asymptotiｃａlly noｒmａl estiｍatｅ，相合渐近正态估计Cｏnsistent ｅsｔimate，相合估计Ｃｏnstｒａｉnｅd nonｌｉｎear regｒeｓｓioｎ，受约束非线性回归Constrainｔ，约束Contamｉnａｔed ｄistrｉbｕtion，污染分布ContａｍinateｄGausssiaｎ，污染高斯分布Conｔamiｎａted norｍal ｄｉｓtributioｎ，污染正态分布Conｔamｉnation，污染Contａmiｎatｉon model, 污染模型Contingｅｎcyｔable，列联表Cｏntｏur,边界线Contrｉbuｔiｏn rate, 贡献率Cｏnｔｒol, 对照Cｏnｔrollｅd exｐerｉｍｅnｔs, 对照实验Ｃoｎｖｅntｉonal dｅｐｔh，常规深度Cｏnvｏluｔiｏｎ, 卷积Cｏrｒected fａcｔor, 校正因子Ｃorrｅcted ｍeaｎ，校正均值Cｏrrecｔｉonｃoefficient，校正系数Cｏrｒecｔness，正确性Ｃorrelatｉon ｃｏefficieｎt，相关系数Correlａtｉoｎｉndｅx，相关指数Correspoｎdenｃe，对应Couｎｔinｇ，计数Cｏuｎｔｓ, 计数/频数Covａriance, 协方差Cｏvariａnｔ，共变Cox Ｒｅgression，Cox回归Criteriａfoｒfitting，拟合准则Cｒiteria of least squarｅs, 最小二乘准则Critiｃal ｒatｉｏ，临界比Cｒｉtiｃal regioｎ, 拒绝域Ｃritｉｃal ｖalｕe,临界值Cross—over ｄｅｓiｇn, 交叉设计Ｃrosｓ-sectｉon ａnalysis，横断面分析Cross—section survｅy, 横断面调查Crossｔabｓ, 交叉表Crｏsｓ－tａbuｌａｔion table，复合表Cube rｏoｔ，立方根Cuｍulａtｉｖe distribuｔiｏn function，分布函数Cuｍｕlatiｖe pｒｏbａbiliｔy，累计概率Curvaｔure，曲率/弯曲Ｃuｒvatｕｒe，曲率Curve fｉｔ，曲线拟和Curve fiｔtinｇ, 曲线拟合Curvilinear regressiｏｎ, 曲线回归Cｕrvｉｌｉｎear relaｔｉｏn, 曲线关系Cut—and—try metｈｏd，尝试法Ｃycle，周期Cycｌisｔ, 周期性Ｄｔｅst，D检验Data ａcquisitioｎ，资料收集Daｔa ｂａnｋ,数据库Daｔa capacｉtｙ, 数据容量Dａta ｄefｉciｅnｃieｓ，数据缺乏Data handliｎg,数据处理Dａta maniｐulａtiｏn，数据处理Datａprｏcesｓing，数据处理Datａｒｅduction，数据缩减Daｔa ｓet，数据集Dａｔa souｒces，数据来源Datａｔransfｏｒmatｉｏｎ，数据变换Data vａliditｙ, 数据有效性Daｔa—ｉn，数据输入Datａ-ｏｕt, 数据输出Dead tｉme, 停滞期Degree ｏf freｅdom,自由度Degrｅe ofｐrｅcision，精密度Degreｅｏf reliability，可靠性程度Ｄｅｇｒeｓsioｎ, 递减Densiｔy function，密度函数Deｎsiｔy of daｔa points，数据点的密度Dｅpenｄeｎt vａｒiaｂｌe，应变量/依变量/因变量Ｄepenｄenｔvａｒｉable, 因变量Depｔh, 深度Ｄerivaｔiｖe mａtrｉｘ，导数矩阵Derivaｔｉve-ｆree mｅtｈoｄs, 无导数方法Desｉgn, 设计Deteｒminaｃy，确定性Deｔeｒｍｉnant，行列式Dｅｔermｉnaｎt,决定因素Dｅｖiatｉon, 离差Devｉatｉｏｎfｒｏｍａvｅｒagｅ, 离均差Diａgnoｓｔic ｐlot,诊断图Dichotｏmｏusｖａriaｂｌe，二分变量Dｉfferenｔiaｌｅquatioｎ，微分方程Direct sｔaｎdａrdizａｔioｎ, 直接标准化法Diｓｃrete variablｅ，离散型变量DISCRIＭINANＴ，判断Diｓcｒiminaｎt analysｉs，判别分析Discrｉminant coeffiｃiｅｎｔ，判别系数Diｓcｒimｉｎａnt fｕncｔiｏn，判别值Diｓｐersｉon, 散布/分散度Ｄｉｓprｏpｏrtｉｏnaｌ, 不成比例的Dｉsproportiｏnａtｅsｕb—clasｓnumbers,不成比例次级组含量Dｉsｔｒiｂuｔion fｒee，分布无关性/免分布Ｄiｓtributｉonｓhapｅ，分布形状Distｒiｂｕtion—free mｅｔhod, 任意分布法Distｒibutiｖｅｌaws, 分配律Diｓｔurｂance,随机扰动项Ｄose responｓｅcurve, 剂量反应曲线Doublｅblinｄmethｏd, 双盲法Doubｌe ｂｌind trｉal，双盲试验Doｕblｅexｐｏnｅntｉal distribｕtiｏn，双指数分布Ｄouｂle logaｒiｔｈmic, 双对数Downward rank, 降秩Ｄｕal—sｐａce ploｔ，对偶空间图DUD,无导数方法Duncan’s new muｌｔiple ｒａｎgｅmeｔhod,新复极差法/Ｄuncａn新法Ｅfｆect,实验效应Ｅiｇenvalue,特征值Eｉgenvｅｃtor, 特征向量Elｌｉpse,椭圆Ｅmｐｉrical ｄiｓｔｒｉbuｔion，经验分布Emｐirical probaｂility, 经验概率单位Ｅnumeｒａtion data，计数资料Eｑuａl ｓuｎ-class number, 相等次级组含量Equａlly likely, 等可能Equivａrianｃe，同变性Erｒoｒ，误差／错误Eｒror of ｅstimate, 估计误差Ｅrror type I，第一类错误Error type II, 第二类错误Ｅstｉｍaｎd，被估量Ｅstｉmated eｒｒor ｍean sqｕareｓ, 估计误差均方Esｔｉmaｔed erroｒｓum of sｑuａrｅs，估计误差平方和Euclidean ｄistancｅ，欧式距离Event，事件Event, 事件Exｃepｔioｎal daｔaｐoint，异常数据点Expeｃtａｔiｏｎplａne, 期望平面Expectatiｏｎｓｕｒfａce，期望曲面Expected vaｌuｅs, 期望值Exｐeｒｉment，实验Exｐerimenｔal sampling，试验抽样Eｘperｉmentａl unit，试验单位Ｅxｐｌanatory vａｒiabｌe，说明变量Exploratory data ａnaｌysis，探索性数据分析Exｐｌore Sumｍａrize, 探索—摘要Exｐｏｎentｉaｌcurｖe，指数曲线Ｅxpoｎentｉal grｏwｔh，指数式增长ＥＸSＭOＯTH，指数平滑方法Ｅxteｎｄed fiｔ, 扩充拟合Extra pａrａmeter，附加参数Extrapolation，外推法Extrｅme oｂservatioｎ，末端观测值Ｅｘtremeｓ, 极端值/极值Ｆdistribution，F分布F tｅst,Ｆ检验Factor，因素/因子Ｆacｔor aｎａlysｉｓ，因子分析Factor Ａnaｌｙsｉs，因子分析Factｏr score，因子得分Ｆactorial，阶乘Ｆaｃtｏrial ｄｅsiｇｎ, 析因试验设计Faｌse ｎｅｇatiｖe, 假阴性Fａlｓｅｎeｇative error, 假阴性错误Faｍｉly of ｄistributｉｏｎｓ，分布族Ｆamily ｏf esｔiｍatｏrs, 估计量族Ｆaｎnｉng，扇面Faｔaｌity rate, 病死率Field ｉnveｓtｉgａtion,现场调查Fielｄsurｖeｙ，现场调查Finite ｐopulaｔioｎ, 有限总体Ｆｉniｔｅ-ｓａmplｅ, 有限样本Fｉrst derivative, 一阶导数Fiｒｓtｐｒiｎcipal comｐoneｎt，第一主成分First ｑｕarｔile, 第一四分位数Fisher infｏｒmａｔiｏn，费雪信息量Ｆitted vaｌue，拟合值Ｆitｔiｎg a curve, 曲线拟合Fixed bａse，定基Ｆluｃtuation,随机起伏Forecast, 预测Fｏurｆolｄｔaｂｌe,四格表Fourth，四分点Fractｉoｎblｏw，左侧比率Fractional eｒroｒ，相对误差Frequency, 频率Freｑｕｅｎcy polyｇon,频数多边图Frontier poｉnt，界限点Functiｏｎrelaｔioｎship，泛函关系Gamma diｓｔributiｏｎ,伽玛分布Ｇauss incｒeｍｅnｔ, 高斯增量Gaｕsｓiａn dｉstributｉoｎ，高斯分布/正态分布Ｇａｕss－Newton incｒｅmｅｎt，高斯—牛顿增量Genｅral cenｓus，全面普查ＧEＮLOG （Ｇenｅｒalized liner models），广义线性模型Geomeｔｒiｃmean，几何平均数Ｇiｎｉ's ｍeａn ｄifｆerenｃe，基尼均差ＧLM （Ｇenerａｌliｎｅr moｄelｓ)，一般线性模型Goodness oｆｆit，拟和优度/配合度Gradｉent oｆdetermｉnａnt, 行列式的梯度Ｇraecｏ-Ｌatin square，希腊拉丁方Grand mｅaｎ，总均值Ｇross errors, 重大错误Gross—ｅrror senｓitivity, 大错敏感度Ｇroｕｐaverages，分组平均Groｕｐed daｔａ，分组资料Guesseｄmean, 假定平均数Hａｌf-liｆe，半衰期ＨａmpeｌM－ｅstiｍatoｒｓ，汉佩尔M估计量Haｐpensｔaｎce, 偶然事件Harｍoniｃmeａn, 调和均数Hazard fuｎｃtiｏn，风险均数Hａzard ratｅ, 风险率Hｅadｉng, 标目Heavy—tａｉlｅd ｄisｔｒibｕtion, 重尾分布Hｅssｉan arraｙ，海森立体阵Heterｏｇeneity，不同质Heｔeｒogeｎeｉty of ｖaｒiaｎｃｅ, 方差不齐Hierａrchｉcaｌclａssificaｔion, 组内分组Hｉeraｒcｈical cluｓｔering metｈod，系统聚类法High—leverage ｐｏinｔ，高杠杆率点HＩLOGLＩNEAＲ, 多维列联表的层次对数线性模型Hinｇe, 折叶点Ｈisｔogram，直方图Ｈｉsｔoricａl coｈort stuｄｙ，历史性队列研究Ｈoleｓ，空洞HＯMAＬＳ,多重响应分析Homogｅneiｔyｏf ｖaｒiance，方差齐性Ｈomｏｇeneity ｔｅsｔ，齐性检验Ｈuｂer M-estｉmatorｓ，休伯M估计量Hyｐｅrbola，双曲线Ｈypotheｓis tesｔiｎg, 假设检验Hypｏtｈetiｃaｌuniｖerｓｅ，假设总体Impossibleｅvｅnt，不可能事件Ｉｎdepｅndenｃe，独立性Independent variａble, 自变量Inｄｅx，指标/指数Indireｃt stａｎdardｉzatioｎ，间接标准化法Individuａl，个体Inｆeｒencｅband，推断带Inｆinite pｏｐｕlａtioｎ, 无限总体Iｎfinｉtely greaｔ, 无穷大Ｉnfiniｔely small, 无穷小Iｎfluencｅcuｒve，影响曲线Information capacitｙ，信息容量Iｎiｔiaｌｃondition，初始条件Ｉｎitｉal eｓtimaｔe，初始估计值Iｎiｔial leveｌ，最初水平Interacｔion, 交互作用Ｉnteｒａction teｒｍｓ, 交互作用项Intercept, 截距Interpolaｔion, 内插法Interｑｕａｒtilｅrange，四分位距Intervａl estimａtion,区间估计Intervaｌs of eｑual pｒｏbabilｉｔy，等概率区间Intrinsic ｃuｒvature，固有曲率Inｖariaｎｃe, 不变性Ｉｎveｒｓe maｔrix，逆矩阵Inveｒse probabiｌiｔy，逆概率Inｖｅrse sine tｒansｆorｍatioｎ，反正弦变换Ｉtｅratｉｏn，迭代Jaｃｏｂian deteｒmiｎant，雅可比行列式Joint distｒｉbｕｔｉon fuｎctｉon，分布函数Joint ｐrobabiｌiｔy, 联合概率Ｊoint pｒobaｂｉlｉty distrｉbuｔioｎ, 联合概率分布K means methoｄ，逐步聚类法Kaplan-Ｍeier, 评估事件的时间长度Kaｐｌaｎ-Merier chart，Kaplan—Mｅrier图Ｋenｄall＇s ｒank correlaｔion,Ｋendall等级相关Kinetic，动力学Koｌｍogoｒov-Sｍirnovｅtest, 柯尔莫哥洛夫—斯米尔诺夫检验Kruｓkａl ａnd Waｌlis tesｔ, Kruｓkal及Wａlｌｉs检验／多样本的秩和检验／H检验Kurｔｏsiｓ, 峰度Ｌａck of ｆiｔ，失拟Laddeｒof pｏwers, 幂阶梯Lag, 滞后Large samｐle,大样本Ｌａrgｅｓａmｐle teｓｔ，大样本检验Ｌａtｉn sｑｕaｒe, 拉丁方Ｌａtin squarｅｄeｓiｇn，拉丁方设计Lｅaｋａgｅ，泄漏Lｅａsｔfavorable confｉｇｕｒation, 最不利构形Leaｓt favoraｂｌe diｓtribution，最不利分布Lｅaｓt sｉgnｉｆicaｎt dｉｆfeｒenｃｅ，最小显著差法Least ｓquare meｔhod，最小二乘法Leａst－abｓｏlute-residuals ｅstiｍatｅｓ,最小绝对残差估计Ｌeａｓt-absｏlutｅ-rｅsiduａlsｆｉt，最小绝对残差拟合Ｌeasｔ—absｏlｕｔe－ｒesｉｄuaｌs ｌiｎe，最小绝对残差线Leｇeｎd,图例L-esｔimator,L估计量L－ｅstiｍａtoｒof ｌｏcatiｏｎ, 位置L估计量L-estimator ｏf scａｌe, 尺度Ｌ估计量Levｅl，水平Lifｅexｐecｔaｎcｅ, 预期期望寿命Lifeｔａble，寿命表Liｆｅｔable mｅtｈｏｄ，生命表法Ｌight—tailed distriｂution，轻尾分布Likelihｏoｄfunctｉoｎ，似然函数Lｉkelihood ｒatio, 似然比linｅgraph, 线图Lｉnear correlａtion，直线相关Lｉｎｅar eｑuａtioｎ，线性方程Liｎeａr programｍiｎg，线性规划Ｌineａｒregreｓsiｏn，直线回归Ｌｉnear Regressioｎ, 线性回归Linｅar tｒｅｎｄ, 线性趋势Ｌoaｄｉng，载荷Loｃatioｎanｄsｃａle eｑｕｉvariａnce，位置尺度同变性Location equiｖarｉａｎce, 位置同变性Locaｔｉon invａriance,位置不变性Locatioｎscalｅfamiｌy，位置尺度族Loｇrａnk tesｔ，时序检验Logaｒiｔhｍiｃcurve，对数曲线Lｏｇarｉtｈｍｉc normaｌdistｒibution，对数正态分布Loｇaｒithmiｃscaｌe, 对数尺度Logarｉthmiｃtransfoｒｍatｉon，对数变换Lｏｇｉc ｃｈeck, 逻辑检查Logisｔｉc dｉstｒiｂuｔioｎ, 逻辑斯特分布Ｌoｇit transfoｒmaｔiｏｎ,Logｉｔ转换LＯＧLINEAR, 多维列联表通用模型Ｌogｎorｍａｌdｉstribution，对数正态分布Loｓt fｕｎctｉon，损失函数Low corｒeｌａtion，低度相关Lower lｉｍit，下限Lｏｗesｔ-attaineｄｖａriancｅ，最小可达方差LＳD，最小显著差法的简称Lurkinｇvaｒiablｅ, 潜在变量Main effｅｃt，主效应Majoｒheading，主辞标目Margｉｎal dｅｎsｉtｙｆuncｔioｎ,边缘密度函数Marginａl probaｂｉｌity, 边缘概率Marｇｉnal prｏｂａbiliｔy dｉstrｉbutiｏn，边缘概率分布Maｔched dａta，配对资料Mａｔchｅd dｉｓtｒibutｉon，匹配过分布Mａtｃhiｎgｏf diｓｔriｂuｔｉon，分布的匹配Matching ｏｆtransfｏrmation，变换的匹配Matｈeｍａtiｃal exｐｅcｔaｔion，数学期望Mａtheｍatｉcal moｄel，数学模型Maxｉmum L-estｉmator，极大极小L 估计量Maｘimｕｍliｋelihood meｔhｏd，最大似然法Mｅan，均数Meaｎsquａｒes betweｅn groups,组间均方Ｍｅan ｓｑuares wiｔhiｎgｒouｐ，组内均方Means(Compare meａns）, 均值－均值比较Mｅｄian，中位数Medｉan eｆfective dose, 半数效量Ｍedian lethａl ｄoｓe,半数致死量Ｍedｉanｐｏlish, 中位数平滑Median tesｔ，中位数检验Ｍiｎｉmal suｆficｉentｓtａｔistｉｃ，最小充分统计量Minimｕm distａnｃe estiｍatｉoｎ，最小距离估计Ｍiｎimum effeｃtiｖe dｏsｅ，最小有效量Mｉnimum lｅthal ｄｏsｅ，最小致死量Ｍinimum vａｒiance estimator，最小方差估计量ＭINITAB，统计软件包Mｉnor heaｄｉng，宾词标目Ｍiｓsiｎg dａta，缺失值Mｏdel specifｉcａtiｏn，模型的确定Modeling Statｉstiｃs，模型统计Models fｏr ｏｕtlieｒs，离群值模型Ｍｏdifyiｎg ｔhe modeｌ,模型的修正Moｄuｌｕs of cｏnｔｉnuitｙ，连续性模Morbidity，发病率Most faｖorａble confｉguｒaｔion，最有利构形Muｌtidiｍｅnsｉonal Scaｌing (ASCＡＬ)，多维尺度/多维标度Mulｔiｎoｍｉal Logｉstic Ｒegression , 多项逻辑斯蒂回归Mulｔiｐle comparison, 多重比较Multiｐｌe correlation ,复相关Mｕltiｐｌｅｃoｖaｒｉanｃe, 多元协方差Multｉpｌe linｅaｒreｇｒｅssiｏn, 多元线性回归Ｍulｔｉple reｓpｏnse ，多重选项Mulｔiple soluｔｉons，多解Muｌtｉｐlication tｈeorem, 乘法定理Muｌtiresponse，多元响应Ｍulti—sｔage sampliｎg,多阶段抽样Mｕltivａｒiate T distribｕtｉon,多元T分布Mutual eｘcｌｕsive，互不相容Ｍｕtualｉndeｐendence，互相独立Naturaｌbounｄarｙ，自然边界Naｔｕral ｄｅad, 自然死亡Ｎaturａｌzerｏ，自然零Neｇaｔiveｃｏｒrelａｔioｎ，负相关Negａtive linear corrｅlation，负线性相关Ｎegativeｌy skewed, 负偏Neｗman-Keulｓmetｈod, q检验NK meｔhod, q检验No stａtiｓtｉｃal sｉgniｆicance, 无统计意义Ｎｏminal variaｂlｅ，名义变量Nonｃｏnstancｙｏｆｖａrｉability，变异的非定常性Noｎliｎeaｒｒeｇresｓiｏｎ，非线性相关Noｎpａraｍetric staｔisticｓ, 非参数统计Nonpaｒａmetrｉc tｅｓｔ，非参数检验Nｏnparaｍeｔric tesｔs，非参数检验Normal dｅviatｅ，正态离差Normal distribｕtion,正态分布Ｎormal equatｉoｎ, 正规方程组Ｎorｍal ｒａngｅs, 正常范围Ｎorｍal valuｅ, 正常值Ｎuisance pａrameter，多余参数/讨厌参数Null hypothesiｓ,无效假设Nｕmerical variable，数值变量Objeｃtｉve funcｔion, 目标函数Ｏbservaｔioｎｕnit, 观察单位Obsｅrved valuｅ，观察值Oneｓiｄｅd test, 单侧检验Ｏne-wａy ａnalｙsis of vａriancｅ, 单因素方差分析Onewａy ANＯＶA ，单因素方差分析Ｏpｅｎsequeｎtial trial,开放型序贯设计Optｒim，优切尾Ｏpｔrｉｍefｆicieｎcy, 优切尾效率Ordｅr ｓtaｔｉsｔics，顺序统计量Orｄｅｒed categoｒｉes，有序分类Ordinal lｏｇistic regressioｎ，序数逻辑斯蒂回归Ordinal variable，有序变量Ortｈogoｎal basis,正交基Orthｏgoｎal design，正交试验设计Oｒthogｏnalｉｔｙconditiｏnｓ，正交条件ＯRTＨＯＰLAN，正交设计Outlｉｅr cuｔｏffｓ，离群值截断点Ｏuｔliers，极端值ＯＶERＡLS, 多组变量的非线性正规相关Ｏversｈｏot,迭代过度Ｐａired deｓiｇn，配对设计Paｉred sample, 配对样本Pairwise slopeｓ，成对斜率Paraboｌa，抛物线Ｐａrallel ｔestｓ，平行试验Paraｍｅteｒ，参数Paｒａｍetriｃstaｔisticｓ，参数统计Parameｔrｉｃtｅst,参数检验Partｉａl corrｅlation, 偏相关Paｒｔiaｌｒeｇrｅssion, 偏回归Paｒtiａl sorｔinｇ，偏排序Partiａlｓresidｕaｌs，偏残差Paｔtern，模式Ｐeａｒson curvｅs, 皮尔逊曲线Peeliｎg, 退层Peｒｃent bar ｇrａpｈ，百分条形图Perｃentage，百分比Ｐercentiｌe，百分位数Percｅｎｔilｅｃｕrves，百分位曲线Ｐeｒｉoｄiciｔy, 周期性Peｒmuｔatiｏn,排列P－estiｍator，P估计量Ｐie graph, 饼图Ｐitman eｓtimaｔor, 皮特曼估计量Ｐivｏt，枢轴量Pｌanar,平坦Ｐlanａr asｓumptiｏn，平面的假设ＰＬANCARDS,生成试验的计划卡Point ｅstiｍaｔiｏn,点估计Pｏｉssｏn distｒｉbution, 泊松分布Polｉｓhing, 平滑Polleｄｓtａndard devｉaｔiｏn，合并标准差Ｐolleｄvaｒiance，合并方差Polygon，多边图Pｏlｙnoｍial，多项式Polynomiaｌcuｒve，多项式曲线Pｏｐuｌａtｉoｎ, 总体Popｕlation attriｂutaｂle risk，人群归因危险度Posiｔｉvｅcｏrreｌatioｎ，正相关Poｓitiveｌy skeweｄ, 正偏Posterioｒｄistribｕtioｎ，后验分布Poｗｅr of aｔest,检验效能Pｒecision，精密度Pｒedicted valｕe, 预测值Preliminary aｎalyｓis，预备性分析Prinｃipaｌcoｍpｏｎenｔanalｙsｉs，主成分分析Prｉor dｉsｔriｂｕｔｉoｎ,先验分布Prｉoｒｐrｏｂaｂiｌiｔy，先验概率Prｏｂabiｌisｔic mｏdeｌ，概率模型ｐｒｏbａbilｉtｙ，概率Ｐrｏｂabｉlｉty dｅｎsitｙ,概率密度Prｏduｃｔmoｍｅnt，乘积矩／协方差Profile tｒａce, 截面迹图Ｐropoｒtion，比/构成比Proｐortｉｏn alｌｏｃａtion in ｓtratiｆiedｒａｎdom saｍpｌiｎg, 按比例分层随机抽样Prｏporｔiｏnａte，成比例Proportioｎate sub-cｌaｓｓnumｂeｒｓ，成比例次级组含量Prosｐectiｖe study, 前瞻性调查Prｏximｉtieｓ, 亲近性PseｕdｏF test，近似F检验Ｐｓeｕｄo moｄel, 近似模型Ｐｓeｕｄosｉgma，伪标准差Ｐuｒposｉve samｐｌiｎg，有目的抽样QR dｅcomposition，QR分解Ｑuadratiｃａpproximatｉon，二次近似Quａlitaｔiｖe clａｓｓifiｃaｔｉoｎ，属性分类Quａｌitative method, 定性方法Quantilｅ-ｑｕａntiｌe ploｔ, 分位数－分位数图/Q—Ｑ图Ｑuantitativｅａnａlysis，定量分析Quａrtｉｌe, 四分位数QuｉckＣlｕsｔeｒ, 快速聚类Radix sｏrt，基数排序Random aｌlocａtion，随机化分组Randoｍblｏcｋsｄesigｎ，随机区组设计Raｎdom event，随机事件Rａndomization, 随机化Ｒangｅ，极差/全距Rａnk correｌaｔion，等级相关Ｒank suｍteｓt，秩和检验Raｎk tｅst, 秩检验Ｒanked dａｔa，等级资料Rate，比率Ｒatiｏ，比例Raw data，原始资料Ｒaw residuａl，原始残差Raｙｌｅigh's ｔest, 雷氏检验Rayleigh's Ｚ，雷氏Z值Ｒecｉｐrocaｌ，倒数Reciｐroｃａl traｎsformaｔiｏn, 倒数变换Recordinｇ, 记录Reｄescendｉnｇeｓｔimators，回降估计量Redｕｃinｇdimｅnsioｎｓ, 降维Rｅ-eｘpｒeｓsion，重新表达Referｅnce sｅt，标准组Reｇioｎoｆａccｅpｔａnce, 接受域Regｒessioｎcoeffｉcｉｅnt，回归系数Ｒegｒｅｓsioｎsum of sｑuare，回归平方和Ｒｅｊecｔiｏn poiｎt, 拒绝点Rｅlative dispersion, 相对离散度Reｌａtｉvｅｎuｍｂer, 相对数Reliａbility,可靠性Reparametｒizatｉon, 重新设置参数Rｅpｌｉcａｔion，重复ＲｅporｔSummariｅs, 报告摘要Resｉdual suｍｏf sqｕａre，剩余平方和Ｒesistance, 耐抗性Resｉstant line, 耐抗线Resiｓtant tｅｃｈnｉquｅ, 耐抗技术Ｒ－estimａｔｏr ｏｆloｃatｉｏｎ, 位置Ｒ估计量Ｒ-estimａｔorｏfｓcａｌe，尺度Ｒ估计量Retroｓpｅctiｖe ｓｔuｄy，回顾性调查Rｉdgeｔraｃe, 岭迹Riｄit analｙｓｉs, Ridｉt分析Rotaｔion，旋转Rｏunｄing,舍入Ｒow,行Row effeｃtｓ，行效应Roｗfactor，行因素RXC taｂlｅ, RXＣ表Saｍpｌｅ，样本Saｍｐle rｅgrｅｓsionｃoefficｉent，样本回归系数Samｐlｅsｉzｅ, 样本量Sample staｎdaｒd deｖiatiｏn, 样本标准差Ｓamｐling error,抽样误差ＳAS(Stａtｉstｉcal aｎalysｉs systeｍ）,SAS统计软件包Scale, 尺度／量表Scattｅｒdiａgｒam, 散点图Schｅmaｔｉc plot，示意图/简图Score ｔest,计分检验Scｒeening，筛检SEAＳON，季节分析Secoｎd deriｖativｅ, 二阶导数Second pｒinｃｉpａl coｍｐoneｎt，第二主成分SEM （Stｒucturaｌequation mｏｄｅling），结构化方程模型Ｓemｉ－ｌoｇａrithｍic graph，半对数图Ｓemi-ｌｏgａriｔhｍiｃpaper，半对数格纸Seｎｓiｔivity curve, 敏感度曲线Sｅquentｉal anaｌysｉs，贯序分析Seｑuential datａｓｅｔ, 顺序数据集Ｓeｑueｎtial ｄesiｇｎ，贯序设计Ｓequentiａl method, 贯序法Sequentiａl test，贯序检验法Seｒial tests,系列试验Sｈort-cｕｔmeｔhod,简捷法Ｓiｇmoid cｕrve, S形曲线Sｉｇｎfunｃｔioｎ，正负号函数Ｓｉgn test，符号检验Sｉｇnｅdｒank，符号秩Sigｎificanceｔest，显著性检验Signiｆicanｔｆigure，有效数字Siｍple clｕsｔer samplinｇ, 简单整群抽样Sｉmple correlatｉon，简单相关Ｓｉｍple random samｐliｎｇ, 简单随机抽样Simplｅｒegrｅssioｎ，简单回归ｓｉmｐle taｂle，简单表Ｓiｎe estiｍatｏr, 正弦估计量Singlｅ-vaｌｕｅd estimatｅ，单值估计Ｓinｇular matｒｉx, 奇异矩阵Sｋeｗed dｉstriｂutｉon，偏斜分布Skeｗnesｓ,偏度Slaｓh distribｕtiｏn，斜线分布Ｓlope，斜率Smirnov test，斯米尔诺夫检验Sｏurce oｆｖarｉatiｏｎ，变异来源Ｓpearman rank cｏrreｌation,斯皮尔曼等级相关Ｓpecｉｆic factｏｒ，特殊因子Ｓpeｃiｆic factorｖaｒiancｅ, 特殊因子方差Speｃtｒａ，频谱Spheriｃａl distrｉbｕtioｎ，球型正态分布Sｐreaｄ,展布SPSＳ(Staｔisｔｉｃal paｃkａge fｏr ｔｈｅｓocｉal scienｃe）, SPSS统计软件包Spｕｒiｏus cｏrreｌaｔion，假性相关Ｓquarｅroot ｔｒaｎｓfoｒmａｔｉon，平方根变换Stａbilｉzing varｉance, 稳定方差Standａrd ｄevｉatiｏn，标准差Ｓtａnｄard eｒror, 标准误Sｔanｄａｒd erｒor of dｉfｆeｒence，差别的标准误Standaｒｄeｒror ｏf ｅsｔimate，标准估计误差Stanｄarｄerror of rate, 率的标准误Sｔandaｒd normaｌdｉｓtrｉbutｉｏｎ，标准正态分布Ｓtandarｄizaｔｉon,标准化Startｉng vａlue, 起始值Sｔatistｉc, 统计量Staｔistical contｒol，统计控制Statｉstical grａｐh，统计图Ｓtatiｓtｉｃal infｅrence，统计推断Staｔistiｃal table，统计表Steepｅst deｓｃeｎｔ，最速下降法Sｔeｍａnd leaf display，茎叶图Stepｆactｏr，步长因子Stepwisｅrｅgression, 逐步回归Ｓｔoｒagｅ，存Sｔｒaｔa，层(复数)Ｓtratifieｄsａmｐlｉng，分层抽样Stｒatifｉeｄsamplｉng，分层抽样Sｔreｎgtｈ，强度Ｓtｒinｇency，严密性Ｓtｒucｔuｒａl relａtｉoｎship, 结构关系Studｅnｔizedｒesidｕal，学生化残差/t化残差Suｂ-cｌass nuｍbers，次级组含量Ｓubdiｖidiｎg, 分割Sｕfficiｅnt stａtiｓtｉc, 充分统计量Sumｏｆｐroｄucｔｓ, 积和Sum of squａｒes，离差平方和Ｓｕm of squａres abouｔregression，回归平方和Sum of sｑuareｓbetweeｎｇrｏupｓ, 组间平方和Sum oｆｓquarｅs of partial regresｓioｎ, 偏回归平方和Sure event，必然事件Sｕrvｅy, 调查Ｓurvivａl, 生存分析Surｖｉｖａl rate，生存率Ｓuspeｎｄed root graｍ，悬吊根图Ｓymmetry，对称Syｓｔematic error, 系统误差Sｙstemaｔic sａｍpｌｉng，系统抽样Tags，标签Tａil area，尾部面积Tａil lengｔh，尾长Taiｌweight, 尾重Tanｇenｔlinｅ, 切线Ｔａrgｅｔdistribution, 目标分布Tａyｌoｒsｅries，泰勒级数Tenｄeｎcy of dｉspersion，离散趋势Testｉｎｇof hypｏthesｅs, 假设检验Theoreｔiｃaｌfrequeｎｃｙ, 理论频数Time series, 时间序列Ｔoｌerance inｔerval，容忍区间Toleｒaｎｃe ｌowｅｒlｉmit，容忍下限Tｏlerａｎｃｅｕppeｒlimｉｔ，容忍上限Ｔoｒsioｎ,扰率Tｏtalｓumｏｆsquarｅ,总平方和Total varｉation, 总变异Traｎsforｍatｉon，转换Trｅaｔｍeｎt，处理Trend，趋势Ｔｒｅｎｄof percｅｎｔage，百分比趋势Trｉal, 试验Trial ａnd eｒrｏr meｔhｏd,试错法Tｕｎinｇcｏnｓtａnｔ，细调常数Two siｄed teｓt,双向检验Ｔｗo-staｇe leaｓt ｓｑuarｅs, 二阶最小平方Ｔwo-ｓtagｅsaｍpｌing，二阶段抽样Ｔwo—tａiled test, 双侧检验Two－ｗａy anaｌysis of variance, 双因素方差分析Twｏ-way ｔａｂｌe，双向表Tｙｐe I ｅrrｏｒ，一类错误/α错误Type IＩｅｒror,二类错误/β错误UMVＵ，方差一致最小无偏估计简称Ｕｎbiaｓed estimate, 无偏估计Ｕnｃonstraｉｎed nonliｎｅar ｒｅgreｓsion ，无约束非线性回归Ｕnequａｌsubｃlass numｂer，不等次级组含量Ｕｎgroｕped data, 不分组资料Uniｆｏｒm coordinate，均匀坐标Uniform disｔribｕtion，均匀分布Uniformｌy ｍｉnimum varｉancｅｕnbiaｓｅd estｉmaｔe, 方差一致最小无偏估计Unit，单元Unordered cａｔegｏrｉｅs，无序分类Upｐerｌimit, 上限Ｕpward rank，升秩Ｖagｕe concept, 模糊概念Vaｌidｉｔｙ, 有效性ＶAＲCOMP（Ｖarｉance componｅｎt ｅsｔiｍaｔｉoｎ），方差元素估计Variａｂiliｔy, 变异性Variaｂｌe, 变量Varｉance，方差Variaｔiｏn, 变异Vaｒｉmaｘorthoｇｏnalｒotatｉon,方差最大正交旋转Volume oｆｄistributｉon，容积Wｔｅst，W检验Weiｂull dｉstribution，威布尔分布Weｉght, 权数Weｉghtｅd Chｉ-sqｕare ｔest，加权卡方检验/Cochrａｎ检验Ｗeiｇhted lineａrｒｅgressｉoｎmethｏd, 加权直线回归Weigｈteｄmean，加权平均数Weｉｇhted mｅａn sqｕaｒe, 加权平均方差Ｗｅiｇhtｅｄｓum of sｑuare, 加权平方和Weighting ｃoeｆfiｃｉent, 权重系数Weｉｇｈtｉng metｈｏd，加权法W—estimａtiｏn，Ｗ估计量Ｗ-eｓtｉｍation of location, 位置W估计量Wｉdth, 宽度Ｗilcoxon ｐaired tｅｓt, 威斯康星配对法/配对符号秩和检验Wilｄｐｏｉnt，野点/狂点Wｉlｄvａlue，野值/狂值Winsorizｅd meａｎ, 缩尾均值Withdrａｗ, 失访Yoｕｄen's inｄeｘ，尤登指数Z test,Z检验Zerｏcorrelaｔiｏｎ，零相关Z－transfｏrmａｔion，Ｚ变换。

SPSS统计词汇

英汉统计学常用词汇(SPSS)Aabsolute deviation 绝对离差absolute residuals 绝对残差acceptable hypothesis 可接受假设acceptable region 接受域actual frequency 实际频数adaptive estimator 自适应估计量addition theorem 加法定理additivity 可加性adjusted R square 调整判别系数admissible error 容许误差alphafactorin g α因子提取法alternative hypothesis 备择假设among groups 组间analysis of correlation 相关分析analysis of covariance 协方差分析analysis of regression 回归分析BBayesian estimation Beyes估计bell-shaped curve 钟形曲线best-trim estimator 最好切尾估计量beta distribution β分布between groups 组间的between measures 重复测量间的bivariate 双变量的bivariate correlate 二变量相关biweight interval 双权区间biweight M-estimator 双权M估计量block 区组/配伍组boxplot 箱线图Ccanonical correlation 典型相关case-control study 病例对照研究categorical variable 分类变量Cauchy distribution 柯西分布centering and scaling 中心化和定标central tendency 集中趋势chance statistics 随机统计量chance variable 随机变量chi-square distribution 卡方分布chi-square statistics 卡方统计量chi-square test 卡方检验classified variable 分类变量coefficient of skewness 偏度系数coefficient of variation 变异系数communality variance 共性方差compare means 均值比较分析complete association 完全正相关concomitant variable 伴随变量conditional likelihood 条件似然conditional probability 条件概率confidence limit 置信限consistency check 一致性检验consistent estimate 一致估计contingency tables 列联表continuous variable 连续变量control charts 控制图controlled experiments 对照实验conventional depth 常规深度correction coefficient 校正系数critical point 临界点critical ratio 临界比cumulative probability 累计概率curvature 曲率cyclist 周期性Ddata capacity 数据容量data deficiencies 数据缺乏1data handling 数据处理data reduction 数据简化分析data transformation 数据变换degree of precision 精密度degree of reliability 可靠性程度density function 密度函数density of data points 数据点的密度derivative matrix 导数矩阵description 描述descriptive 描述性的deviation from average 离均差Df. Fit 拟合差值df(degree of freedom)自由度dichotomous variable 二分变量discriminant analysis 判别分析discriminant coefficient 判别系数disproportional 不成比例的dissimilarity 不相似性distribution shape 分布形状disturbance 随机扰动项double logarithmic 双对数Eeffect 实验效应effects of interaction 交互效应efficiency 有效性eigenvector 特征向量enumeration data 计数资料equal size 相等的数量error of estimate 估计误差error type Ⅰ第一类错误error type Ⅱ第二类错误estimation 估计量Euclidean distance 欧氏距离expectation plane 期望平面expectation surface 期望曲面expected value 期望值experimental sampling 试验抽样explanatory variable 解释变量explore Summarize 探索-摘要EXSMOOTH 指数平滑方法extended fit 扩充拟合extra parameter 附加参数extreme observation 末端观测值extreme value 极值Ffactor score 因子得分factorial designs 因子设计factorial experiment 因子试验failure rate 失效率family of estimators 估计量族fatality rate 病死率finite population 有限总体finite-sample 有限样本first derivative 一阶导数first quartile 第一四分位数Fisher information Fisher信息量fitting a curve 曲线拟合fixed model 固定模型fixed variable 固定变量fluctuation 随机起伏fourth 四分点fractional error 相对误差frequency polygon 频数多边图frontier point 界限点F-test F检验function 函数function relationship 泛函关系Ggamma distribution 伽玛分布general census 全面普查geometric mean几何均值Gini’s mean difference 基尼均差goodness-of-fit 拟合优度gross-error sensitivity 大错敏感度group averages 分组平均grouped data 分组资料grouped median 组中值growth curve 生长曲线Hhalf-life 半衰期happenstance 偶然事件harmonic mean 调和均值hazard function 风险均数hazard rate 风险率Hessian array Hessian立体阵Heterogeneity 不同质heterogeneity 不齐性HOMAIS 多重响应分析homogeneity of variance 方差齐性homogeneity test 齐性检验Huber M-estimators Huber M 估计量hyperbola 双曲线hypothesis 假设hypothesis test 假设检验hypothetical universe 假设总体Iimage factoring 典型因子提取法impossible event 不可能事件independent samples 独立样本independent variable 自变量indirect standardization 间接标准化法infinitely great 无穷大information capacity 信息容量interclass correlation 组内相关inter-item correlation 样本内相关interpolation 内插法interquartile range 四分位距interclass correlation 组间相关inverse matrix 逆矩阵item means 样本均值L large sample problem 大样本问题Latin square 拉丁方Latin square design 拉丁方设计Least-square estimation 最小二乘估计L-estimator of location 位置L估计量level of significance 显著性水平leverage value 中心化杠杆值life expectance 预期期望寿命life table 寿命表life table method 生命表法light-tailed distribution 轻尾分布likelihood function 似然函数likelihood ratio 似然比likelihood ratio test 似然比检验linear relation 线性关系linear trend 线性预测值loading 载荷location invariance 位置不变性log rank test 时序检验logarithmic scale 对数尺度logic check 逻辑检查logistic 逻辑的logistic distribution logistic分布logit model logit模型logit transformation logit转换logarithms 对数lost function 损失函数lower limit 下限MMahal Distance 马氏距离main effect 主效应maintainability 可维护度matched data 配对资料matched distribution 匹配分布matrix 矩阵maximum 最大值mean 均值mean difference 均值差值mean square 均方mean sum of square 均方和measure 度量median 中位数median lethal dose 半数致死量median polish 中位数平滑m-estimator M估计midpoint 中值model specification 模型的确定modeling statistics 型统计models for outliers 离群值模型modifying the model 模型的修正Monte Carle method 蒙特卡洛法multiple comparison 多重比较multiple correlation 多元相关系数multiple response 多重响应multiple response sets 多重响应集合multiple solutions 多解multiplication theorem 乘法定理multi-response 多元响应multi-stage sampling 多阶段抽样multivariate 多元的multivariate analysis 多元分析mutual exclusive 互不相容mutual independence 互相独立Nnegative correlation 负相关nominal variable 名义变量nonlinear regression 非线性相关nonlinear regression 非线性回归nonparamtric statistics 非参数统计nonparametric test 非参数检验normal distribution 正态分布normal P-P 正态P-P图normal probability 正态概率normal Q-Q 正态Q-Q图normal value 正常值null hypothesis 零假设Oobjective function 目标函数observation unit 观察单位observed value 观察值one sided test 单侧检验one-sample 单样本one-tailed test 单侧检验one-way classification 单因素分类order statistics 顺序统计量ordered categories 有序分类ordinal 序数ordinal variable 有序变量origin 原点orthogonal 正交的orthogonal design 正交试验设计Ppaired observations 成对观测数据paired design 配对设计paired sample 配对样本parametric statistics 参数统计Pearson curves Pearson曲线P-estimator P估计量pie chart 饼(圆)图Pitman estimator Pitman估计量pivot 枢轴量pivot table 枢轴表polynomial regression 多项式回归population 总体positive correlation 正相关posterior distribution 后验分布preliminary analysis 预备性分析probability 概率probability density 概率密度probability of F F显著性概率probit analysis 概率分析product moment 乘积矩/协方差QQ-Q Plot Q-Q概率图quadratic regression 二次多项式回归quadratic term 二次项quality control charts 质量控制图quantitative analysis 定量分析quartile 四分位数RR square 判别系数random 随机random event 随机事件random number 随机数random sampling 随机取样random variable 随机变量randomization 随机化rank statistic 秩统计量rank sum test 秩和检验rank test 秩检验ranked data 等级资料ratio analysis 比率分析raw data 原始资料Rayleigh's test 雷氏检验reciprocal 倒数reject region 拒绝域rejection point 拒绝点relative dispersion 相对离散度relative number 相对数reliability 可靠性reliability analysis 可靠性分析reliability test 可靠性检验report summaries 报告摘要residual 残差residual sum of square 残差平方和response 响应root mean square 均方根rotation 旋转row effects 行效应run test 游程检验S S. E.mean 均值的标准差S.E.of Kurtosis 峰度的标准差S.E.of Skewness 偏度的标准差sample size 样本容量sample space 样本空间sampling design 抽样设计sampling distribution 抽样分布sampling error 抽样误差sampling inspection 抽样检验scatter diagram 散点图schematic plot 示意图/简图score statistic 得分统计score test 计分检验sensitivity curve 敏感度曲线sequential analysis 贯序分析sequential data set 顺序数据集serial tests 系列试验series mean 系列均值sign test 符号检验signed rank 符号秩significance digits 有效数字significance test 显著性检验significant figure 有效数字similarity 相似性simple regression 简单回归skewed distribution 偏态分布skewness 偏度small sample problem 小样本问题Smirnov test Smirnov检验specific factor 特殊因子specific factor variance 特殊因子方差standard deviation 标准差standard error 标准误standard residual plots 标准化残差图standardize 标准化standardized coefficients标准化系数standardized residual 标准化残差statistics 统计学(量)、统计图表std.predicted value 标准预测值Std.residual 标准残差stem and leaf display 茎叶图step factor 步长因子stochastic models 随机模型stochastic process 随机过程survival 生存分析symmetry 对称systematic error 系统误差systematic sampling 系统抽样Ttest criterion 检验判据test for linearity 线性检验test of goodness of fit 拟和优度检验test of homogeneity 齐性检验test oh independence 独立性检验test rules 检验法则testing function 检验函数testing of hypotheses 假设检验theoretical frequency 理论频数time series 时间序列tolerance 容忍度tolerance interval 容忍区间tolerance limits 容限tolerance lower limit 容忍下限tolerance upper limit 容忍上限total sum of square 总平方和total variation 总变异transfer function 转换函数Uunbiased estimation 无偏估计unbiasedness 无偏性unequal size 不等含量unweight 不加权upper limit 上限upward rank 升秩Vvalidity 有效性value 数值value of estimator 计值variability 变异性variable 变量variance components 方差成分variance ratio 方差比variation 变异various 不同的vector 向量WWeibull distribution 威布尔分布weighted mean square 加权平均方差weighted sum of square 加权平方和weighting coefficient 权重系数weighting method 加权法weighted average 加权平均值ZZ score Z分数Z test Z检验zero correlation 零相关Z-transformation Z变换6。

SPSS统计分析最全中英文对照表

SPSS 专业技术词汇、短语的中英文对照索引% of cases 各类别所占百分比1-tailed 单尾的2 Independent Samples 两个独立样本的检验2 Related Samples 两个相关样本检验2-tailed 双尾的3-D (=dimensional) 三维-->三维散点图AAbove 高于Absolute 绝对的-->绝对值Add 加，添加Add Cases 合并个案Add cases from... 从……加个案Add Variables 合并变量Add variables from... 从……加变量Adj.(=adjusted) standardized 调整后的标准化残差Aggregate 汇总-->分类汇总Aggregate Data 对数据进行分类汇总Aggregate Function 汇总函数Aggregate Variable 需要分类汇总的变量Agreement 协议Align 对齐-->对齐方式Alignment 对齐-->对齐方式All 全部，所有的All cases 所有个案All categories equal 所有类别相等All other values 所有其他值All requested variables entered 所要求变量全部引入Alphabetic 按字母顺序的-->按字母顺序列表Alternative 另外的，备选的Analysis by groups is off 分组分析未开启Analyze 分析-->统计分析Analyze all cases, do not create groups 分析全部个案，不建立分组Annotation 注释ANOV A Table ANOV A表ANOV A table and eta (对分组变量)进行单因素方差分析并计算其η值Apply 应用Apply Data Dictionary 应用数据字典Apply Dictionary 应用数据字典Approximately 大约Approximately X% of all cases 从所有个案中随机选择约X%的个案Approximation 近似估计Area 面积Ascend 上升Ascending counts 按频数的升序排列Ascending means 按均值升值排序Ascending values 按变量值的升序排列Assign 指定，分配Assign Rank 1 to 把秩值1 分配给Assume 假定Asymp. Sig.(=Asymptotic Significance) (2-sided) 双尾渐近显著性检验Automatic 自动的Automatic Recode 自动重新编码Axis 轴Axis Title 横轴名称BBack 返回-->上一步Backward 向后-->向后剔除法Bar chart 条形图Bar Spacing 条形间距Bars Represent 条的长度所代表的统计量Based on negative ranks 基于负秩Based on time or case range 在给定范围内随机选择个案Below 低于Between Groups (Combined) 组间值Binomial 二项分布Bivariate 双变量的-->双变量相关分析Bivariate Correlations 双变量相关分析Both files provide cases 是由外部文件和当前文件二者都提供个案Bottom 底部-->下边框Break Variable 分类变量Brown-Forsythe Brown-Forsythe检验Browse 浏览CCache 贮存Cache Data 数据暂存Calculated from data 根据数据计算Cancel 取消Case 个案Case Label 个案标签Case Processing Summary 个案处理概要Casewise 以个案为单位Casewise diagnostics 个案诊断表Categories 分组数，分类变量，分类模式Categorize Variables 变量分类Category 类别-->单元格数据类型Category Axis 分类轴Cell 单元格Cell Display 单元格显示Cell Percentages 在每个单元格中输出百分比Cell Properties 单元格属性Cell Statistics 单元格中的统计量Center 中心-->居中，中间对齐Central Tendency 集中趋势Change 变化，更改Change Summary 改变汇总函数Chart 图表，图形Chart Type 统计图类型Chart values 作图数据选项Charts 确定生成的图形选项Chi-square test 卡方检验Chi-square（χ2）卡方Choose 选择Choose Destination Location 选择安装路径Classify 分类Clear 清除Close 关闭Cluster 群，组，分组Clustered 分组的-->分组条形图Clustered bar charts 分组条形图Cochran's and Mantel-Haenszel statistics ：Cochran 统计量与Mantel-Haenszel 统计量Cochran's Q Cochran Q 检验Code 编码Coefficient 系数Coefficient statistics 系数统计Collinearity 共线性Collinearity diagnostics 共线性诊断Column 列-->单元格中个案数占列总数的百分比Columns 列数-->显示宽度Comma 逗号-->带逗号的数值型变量Common 共同的Compact 最低要求安装Compare 比较，对比Compare groups 分组对比Compare Means 比较平均数Compare variables 比较变量Complete 完成Compute 计算Concordance 和谐Condition 条件Confidence Interval 置信区间Contingency coefficient 列联相关的C 系数Continue 继续Contrast 对比Control 控制Convert 转换Convert numeric strings to numbers 将数值型字符转换为数字Copy 拷贝Copy Objects 拷贝对象Copy old value 拷贝旧变量Correlate 与……相关-->作相关分析Correlation 相关，关联Correlation Coefficient 相关系数Correlations 皮尔逊（Pearson）相关系数Count 个案数，次数，频数Counted value 用于计数的值Covariance 协方差Covariance Matrix 协方差矩阵Covariance ratio 协方差比率Creat new data file 创建新的数据文件Create Time Series 生成时间序列Criteria 标准（复数）Criterion 标准（单数）Cross-product 叉积Cross-product deviation 叉积离差Cross-product deviations and covariances 叉积离差与协方差Crosstab (=Cross-tabulation) 交叉列表Crosstabs 交叉列表（列联表）分析Cum.(=Cumulative) % of cases 累积百分比Cum.(=Cumulative) N of cases 累积频数Cumulative Percent 累计百分比Cumulative Sum 累积和Currency 货币-->货币型变量Current 目前的Current Selections 当前选择Current Settings 目前设置Current Status 目前状态Curve 曲线Curve Estimation 曲线估算Custom 自定义安装Custom Currency 自定义货币记法Cut 剪切Cut point 切分点Cut points for N equal groups 将数据分为N个个案数相同的组的切分点DData 数据-->数据文件的建立与编辑Data in Chart Are 图中数据为（用于统计量模式的选项）Data View 数据(编辑)窗口Database 数据库，数据文件Date 日期-->日期型变量Decimal 小数-->按小数点对齐Decimals 小数位数Define 定义Define Clusters by 以……定义分组（确定分组变量）Define Dates 定义日期Define Dichotomy 确定二分值Define Groups 确定分组Define Ranges 定义范围Define Sets 定义多选变量集Define Simple Bar 定义简单条形图Define Slices by 以……定义扇形块（确定分块变量）Define Variable Ranges 定义变量范围Degree 度，程度Degrees of freedom 自由度Delete 删除Deleted 删除掉-->删除未选个案，将残差删除Dependent 非独立的，依赖的-->因变量Dependent List 因变量/分析变量列表Derive 推导Derived 推导出的Derived axis 转换轴Descend 下降Descending counts 按频数的降序排列Descending means 按均值的降序列表Descending values 按变量值的降序排列Descriptive 描述性的Descriptive Statistics 描述统计Descriptives 描述统计Destination 目标Deviation 偏差，离差df (=degrees of freedom) 自由度Diagnostics 诊断Dialog 对话（框）Dichotomies 二分变量，二分模式Dichotomy 二分法，二分值，二分变量Dictionary 字典Directory 目录Discrete 离散的Discrete missing values 离散缺失值Dispersion 离散趋势Display 显示Display axis line 显示轴线Display chart with case labels 在图中显示个案标签Display clustered bar charts 显示聚类条图Display Data Info 显示数据的基本信息Display derived axis 显示转换轴Display frequencies tables （在输出结果中）显示频数表Display groups defined by missing values 对由缺失值定义的组也加以显示Display labels 显示标签Display legend 显示图例Display normal curve 显示正态曲线Display order 输出结果列表顺序Display summary tables 显示提要表Display the ReadMe file now? 是否现在显示软件说明文件Distribution 分布Division 分，除法Do not filter cases 不过滤个案Dollar 元，美元-->带美元符号的数值型变量Dot 圆点，句号-->带圆点的数值型变量Draft output 文本输出文件Drop-line 垂线图Durbin-Watson 系列相关检验，Durbin-Watson 系数EEdit 编辑-->文件编辑Enter 进入-->强行进入法Entry 进入Equal 等于Equal Variances Assumed 等方差假定Equal Variances Not Assumed 不假定等方差Equality 相等Estimate 估计-->估计值Eta η系数（用于测量一个定类变量与一个定比/定距变量之间的相关比率）Eta Squared η2Every 每一个Every N labels 每N个标签Exactly 精确地Exactly M cases from the first N cases 在前N个个案中随机选择M个个案Exclude 排除，拒绝Exclude cases analysis by analysis 剔除分析变量为缺失值的个案Exclude cases listwise 剔除任何含有缺失值的个案Exclude cases listwise within categories 排除分类变量中的缺失值Exclude cases listwise within dichotomies 排除二分变量中的缺失值Exclude cases pairwise 剔除参与相关系数计算的两个变量中有缺失值的个案Exclude cases test-by-test 排除对比中的缺失值Excluded Variables 被拒绝变量Existing 现有的Exit 退出Expect 期望Expected 期望的-->期望频次Expected Range 理论分布范围Expected Value 期望值，理论值Exponential 指数的-->指数分布Export model information to XML file 将模型的信息输出到XML 文件External file is keyed table 外部文件为关键表Extreme 极端FF F检验的值Factor 因素，因子-->影响因素变量File 文件-->文件操作File is already sorted 数据文件已排序Filter 过滤-->过滤变量Filter variable 过滤变量Filtered 过滤掉的-->生成过滤变量Find 查找Finish 完成First Case 第一个个案（最小值）First value 第一个观测值Fixed and random effects 确定性影响因素和随机影响因素Flag 旗帜，标记；做标记Flag significant correlations 标出达到显著性水平的相关系数Font 字体Footnote 脚注Format 格式Fraction 比率Frame 框，框架Freedom 自由Frequencies 频数分析，按频数作图Frequency 频率，频数Friedman Friedman检验Function 函数GGallery 美术馆-->图形转换功能Gamma γ等级相关系数General 一般General Linear Model 一般线性模型Get from data 由样本观测值确定Go to Case 查找个案Graph 图形Graphs 统计图Grid 网格Grid line 格线Grid lines 用竖线作刻度标志Group 群，组，分组Group Based on 根据……分组Group Statistics 分组统计分析Grouped Median 分组中位值Grouping Variable 分组变量HHelp 帮助Hidden 隐藏High 最大值Histogram 直方图Homogeneity 同质性-->齐次性Homogeneity of variance 方差齐次性Homogeneity-of-variance 方差齐次性检验Horizontal 水平的，横向的Horizontal Alignment 横向对齐方式Hypothesis 假设IIf condition is satisfied 如果满足一定条件Include 包含，包括Include constant in equation 在方程中包含常数项Increment 增量Independent 独立的-->自变量Independent List 自变量/分组变量列表Independent-Samples T Test 独立样本的T 检验Independent-Samples Test 独立样本检验Indicate 指明，标明Indicate case source as variable 生成一个表明个案来源的变量Individual 单个，个体Influence 影响Influence Statistics 影响因素统计量Info (=Information) 信息Information 信息Inner 里面的Inner Frame 内框-->给图形增加内框Input Variable 输入变量Insert 插入Inside 在（某范围）之内Install (动) 安装Installation (名) 安装Into Different Variables 用重新编码的变量生成一个新变量Into Same Variables 用重新编码的变量取代原变量JJustification 对齐方式KK Independent Samples K个独立样本检验Kappa κ系数Kendall's Coefficient of Concordance 肯德尔和谐系数Kendall's tau-b 肯得尔等级相关τ-b 系数Kendall's tau-c 肯得尔等级相关τ-c 系数Kendall's W Kendall W 检验Key 关键的Key Variables 关键变量Kolmogorov-Smirnov Z 柯尔莫哥洛夫-斯米诺夫Z 检验Kruskal-Wallis H Kruskal-Wallis H检验（用秩的平方和检验）Kurtosis 峰度，峰度系数LLabel 标签-->变量名标签Label Cases by 以……为个案标签Label Text 标签文字Lambda λ系数Largest value 最大值Last Case 最后一个个案（最大值）Last value 最后一个观测值Launch 开始Launch tutorial now? 现在开始看使用辅导Layer 层-->层变量Left 左-->居左，左对齐Left/bottom 左下Legend 图例Legend Title 图例标题Less 较少，较小Less than 小于Levene StatisticLevene’s Test for Equality of Variances 方差齐性检验License 许可，授权Likelihood 似然性Likelihood Ratio 似然比卡方Line 行，线-->线形图Line Represents 单线条所代表的统计量Line Style 线型Linear 线性Linear model 线性模型Linear Regression 线性回归分析，线性回归模型Lines Represent 多线条所代表的统计量List 列表Listwise 整个数据表Location 位置Log 对数-->对数尺度Lose 丢失Lost 丢失掉Low 最小值Lower 下限Lower Bound 下限Lowest through X 从最小值到XLSD (=Least-significance difference) 能达到显著性水平的最小差异MMajor 主要的Major Divisions 大分度Mann-Whitney U 曼-维特尼U检验（用秩和检验的方法进行）Margin 边距Margins 边距设置Marker 标记，标志Match 匹配Match cases on key variables in sorted files 按排序的关键变量匹配个案Match variables across response sets 输出与多选变量进行交叉分析的匹配变量的选择数和以选择总数为基础计算的边缘频率分布Matrix 矩阵-->矩阵散点图Maximum 最小值McNemar 麦克讷马Mean 均值Mean Difference 均值差Mean of Values 变量值的平均数Mean Rank 平均秩和Mean Square 平均平方和Means 平均数分析Means and standard deviations 均值与标准差Means plot 均值分布图Measure 测量-->测量层次Measurement level 测量层次Measures of AssociationMedian 中位数-->中位数检验法Median of Values 变量值的中位数Merge 合并Merge Files 合并(数据)文件Method 方法Minimum 最大值Minor 次要的Minor Divisions 小分度Missing 缺失，变量的缺失值Missing value 缺失值Missing Value Analysis 缺失值分析Mix 混合Mixed 混合的-->混合对齐Mode 众数Mode of Values 变量值的众数Model 模型Model fit 模型配置Model Summary 模型概要More 更多（选项）Moses 莫西Moses extreme reactions 莫西极值反应Most Extreme 最极值Mult (=Multiple) Response Sets 多选变量集Multiple 多个-->多线图Multiple Response 多选变量分析Multiple Variables 多变量选项NN (=Number) 个案数N of cases 各类别的频数Name 名称-->变量名Name & Label 名称与标签Name Variable 名称变量Negative 负Negative Difference 负差Negative Rank 负秩Network 网络New 新的-->新建(各种文件)New Value 新值New Working Data File 新的当前数据文件Next 下一个-->下一步No 否，无No missing values 无缺失值Nominal 定类变量Nominal by Interval 定类变量与定距变量间的相关系数None 无Nonlinear 非线性的-->非线性模型Nonparametric 非参数的Nonparametric Tests 非参数检验Normal 正态的-->正态分布Normal curve 正态曲线Normal probability plot 残差的正态概率图Notation 记号，记法Note 便条Notes 说明文字Number 数字，编号-->数字型变量Number Above 大于设定值的个案数Number Below 小于设定值的个案数Number of Cases 个案数目，频数Number of Runs 游程数Numeric 数值的-->标准数值型变量OObject 对象Observation 观察，观测-->样本观测值Observed 观测到的-->观测到的频次Observed Prop. (=proportion) 观察到的比例Odds 几率Off 关闭，未开启Offset from 距离OK 行了-->执行Old and New Values 新旧变量值的转换Old Value 旧值Omit 省略，略去On 开启One Sample T Test 单样本T 检验One-sample K-S(Kolmogorov-Smirnov) test 单样柯尔莫哥洛夫-斯米诺夫检验One-Sample Statistics 单样本统计量One-Sample Test 单样本检验One-tailed 单尾的-->单尾检验One-Way ANOV A 简单方差分析Open 打开Open an existing data source 打开现存的数据文件Open another type of file 打开另一种类型的数据文件Open File 打开文档Option 选择，先项Options 先项Order 顺序Order by 排序选项Ordinal 定序变量Organization 组织Organize 组织（动）Organize output by groups 按分组变量组织输出Organize output by variables 各变量单独输出Orientation 定向Other summary function 其它汇总函数Outer 外面的Outer Frame 外框-->给图形增加外框Outlier 远离中心者-->远离均值的值Outliers outside X standard deviations 离均值X个标准差之外的值Output 输出-->输出文件Output file specification 规定输出文件Output Variable 输出变量Output variables are strings 输出变量是字符型变量Outside 在（某范围）之外Overlay 重叠-->重叠散点图PPackage 包Pair 对，一对Paired 已配对的Paired Sample Correlations 配对样本相关系数Paired Sample Statistics 配对样本统计分析Paired Sample Test 配对样本检验Paired Variables 已配对样本Paired-Samples T Test 配对样本的t 检验Pairwise 成对地Parameter 参数Parametric 参数的Part and partial correlations 部分相关与偏相关系数Part correlation 部分相关系数Partial 部分，偏Partial correlation 偏相关系数Paste 粘贴PC (=personal computer) 个人电脑Pct (=Percent) 百分比Pearson 皮尔逊Pearson Chi-Square 皮尔逊卡方值Pearson Correlation 皮尔逊相关系数Percentage 百分比Percentage Above 大于设定值的个案的百分比Percentage Below 小于设定值的个案的百分比Percentages 按百分比作图Percentages Based on 百分比基于……Percentile 百分位数Percentile Values 百分位数选项栏Percents and totals based on respondents 百分比与总数基于回答者人数Personal 个人的-->个人安装Personal or Shared Installation 个人或共享安装Phi and Cramér's V 列联相关的V系数Pie chart 圆饼图，圆形图Pivot 支点，枢轴，在枢轴上的旋转运动-->表格转置（行列互换）Plot 绘图，图形Point 点Poisson 泊桑-->泊桑分布Positive 正Positive Difference 正差Positive Rank 正秩Post Hoc 发生于其后者-->确定均值有差别后的多重比较Predict 预测Predicted 预测的Predicted Values 预测值Prediction Intervals 预测区间Predictor 预测变量Preview 预览Print 打印Print Preview 打印预览Probability 概率Process 处理Processor 处理器Produce 产生，生成Provide 提供pt.(=point) 点-->象素点QQuartile 四分位数RR squared change R2 变化Random 随机的Random Number 随机数Random Number Seed 随机数初始值Random sample of cases 随机选择个案样本Range 范围，全距，极差Range of Grouping Variable 分组变量值的范围Range of missing values 缺失值范围Rank 秩Rank Assigned to Ties 对同值的秩的分配方法选项Rank Cases 对个案排秩Rank Types 秩变量类型Ratio 比率Read 读Read File 读取文件Read Text Data 读入文本格式的数据ReadMe 软件说明文件Ready 准备好了Ready to Install Files 准备安装界面Recent 最近Recently Used Data 最近用过的数据（文件）Recently Used Files 最近用过的文件Recode 重新编码Redo 恢复-->恢复上一步被撤销的操作Reference 参考，参照Reference Line 参照线Refresh 刷新Regression 回归Regression Standardized Residual 回归分析的标准化残差Remote 远程Remote server 远程服务器Removal 剔除Remove 取消-->删除Rename 重命名Replace 替换Replace Missing Values 替换缺失值Replace with mean 用平均值代替（缺失值）Replace working data file 替代当前的数据文件Report 报告Represent 代表Request 要求Reset 重设Residual 残余的，残余物-->残差Residual Statistics 残差统计表Response 回答Right 右-->居右，右对齐Right/top 右上Row 行-->单元格中个案数占行总数的百分比Row Order 行序（行的排列顺序）Run 执行Run Pending Transforms 运行等待中的转换Runs 游程Runs Test 游程检验SS.E. mean 均值的标准误S.E. of mean predictions 对均值标准误的预测Sample 样本Sample size 样本大小Satisfy 满足Save 保存Save As 另存为Save number of case in break group as variable 存储各分组变量的个案数Save standardized values as variables 将标准分存为新变量Save to New File 存为新文档Scale 尺度-->定距/定比变量Scatter 驱散-->散点Scatterplot 散点图Scientific 科学的Scientific Notation 科学计数法Script 程序Seed 种子-->初始值Select 选择Selected Label 选定的标签Selection Variable 选择变量Sequential 序列的Sequential ranks to unique values 相同值的秩次取第一个出现的秩次值Serial 系列的Serial Number 系列号Series 系列Series Displayed as 图形转换选项Server 服务器Set 集，集合Set Definition 多选变量集的定义Set Markers by 以……为标志Setting 设置Setup 安装Setup Complete 完成安装界面Setup Type 安装类型Shade 阴影Shading 阴影设置Share 共享Show 显示Sig. (=significance) 显著性，显著性水平Sign 符号-->符号检验法Significance level 显著性水平Simple 简单的-->简单条形图，单线图，简单散点图Skewness 偏度，偏度系数Slice 片，块-->扇形块Smallest value 最小值Social Science 社会科学Software 软件Software License Agreement 软件授权使用协议Somers' d Somers 等级相关d 系数Sort 分类，排序Sort Cases 对个案进行归类、排序Sort order 排序规则Sort the file by grouping variables 按分组变量对数据文件进行排序Source 来源Specific 专门的，特定的Specific Values 专门值Specification 规定，规格Split 分割Split Files 分割文件SPSS (Statistical Package for Social Sciences) 社会科学统计软件包SPSS Data Editor 数据窗口编辑界面SPSS/PC(for DOS) DOS 版个人电脑用SPSSStacked 分段条的-->分段条形图Standard deviation 标准差Standard Error of the Estimate 估计值的标准误Standardized 标准化的-->标准化残差Standardized Coefficient 标准化(回归)系数Standardized Residual Plots 标准化残差图Standardized value 标准分Statistic 统计量Statistical 统计的Statistics 统计学，统计量(复数)Statistics for First Layer 第一层分组的统计量Status 状态Std. Error Difference 标准误之差Std.(=Standard) Deviation 标准差Step 步Stepping 分步引入或剔除变量Stepping Method Criteria 变量引入模型或从模型中剔除的判断标准Stepwise 逐步-->逐步进入法Stop 停止，中断String 字符串-->字符型变量Studentized 将残差学生化Studentized deleted 将残差学生化并删除Style 风格，形式-->线型Subtitle 副标题Sum 总和Sum of Ranks 秩和Sum of Squares 总平方和Sum of Squares and Cross-products 离差平方和与叉积和Sum of Values 变量值的和Summaries for groups of cases 个案组概要（变量值模式）Summaries of separate variables 不同变量的概要（变量模式）Summary 概要-->统计概要Summary Function for Selected Va r i abl e s 选定变量的概要函数Suppress 压制，禁止Suppress table 隐藏表格Suppress tables with more than N categories 分组数大于N时禁止频数表在结果中输出Switch 切换Syntax 语句-->语句文件System 系统System-missing 系统缺失值System-or User-missing 系统或用户缺失值Tt t 统计量T test T 检验Table 表格Tables for 为（某变量）列表-->多选变量分析中要分析的变量Tail 尾Template 模板Tendency 趋势Test 检验Test distribution is Normal 待检分布为正态分布Test for linearity 检验线性相关Test Homogeneity of Variances 方差齐次性检验Test of Significance 显著性检验Test Pair List 待检变量对列表Test Prop.(=proportion) 待检比例Test Proportion 待检概率Test Type 检验类型，检验方法Test Value 待检值Test Variable 分析变量，待检变量Test Variable List 待检变量列表Tests for Several Independent Samples 多个独立样本检验Tick 标记Tick mark 标记Tick marks 用点作刻度标志Tick marks for skipped labels 给被越过的标签作标记Tie 同值-->相等的秩，无差（相等）Time 时间-->时间型变量Time Series 时间系列Title 标题Title Justification 标题对齐方式，标题位置Top 顶部-->上边框Total 总数-->单元格中个案数占个案总数的百分比Transform 转换-->数据转换Transpose 转置Transpose Rows and Columns 行列互换Transposition 转置（名）t-test for Equality of Means 均值相等的t 检验Tutorial 辅导-->使用辅导Two Independent Samples 两个独立样本的检验Two-Related-Samples Tests 两个相关样本检验Two-tailed 双尾的-->双尾检验Type 类型-->变量类型Typical 典型安装UUncertainty 不确定性Uncertainty coefficient 不定系数Undo 撤销-->撤销上一步操作Uniform 均匀的-->均匀分布Unique 唯一的Unpaired 不匹配Unpaired variable 不匹配变量Unselected 未被选择的Unselected Case Are 未被选中的个案的处理方法选项Unstandardized 非标准化的-->非标准化残差Unstandardized Coefficient 非标准化(回归)系数Untransposed 未被转置的Unweighted 不加权的-->不加权的个案数Unweighted missing 不加权的缺失值数Upper 上限Upper Bound 上限Use chart specifications from 用……的图形规格Use F value 以F值为标准Use filter variable 使用过滤变量Use probability of F 以F的概率为标准Use specified range 使用特定的范围Use specified values 使用给定的变量值User 用户User Information 用户信息界面Utilities 实用程序Utility 利用，用途VValid 有效的Valid Cases 有效个案Valid Percent 有效百分比Va lue 值Value label 变量值标签Va lue s 变量值标签Values are group midpoints 取值为各组中点Values are grouped midpoints 变量值为各组中点Values of individual cases 个案值（观测值模式）Va r i abl e 变量Variable label 变量名标签Variable list 变量列表，按变量顺序列表Variable Name and Label 变量名称与标签Variable View 变量(编辑)窗口Variables Are Coded As 变量编码方式Variables Entered/Removed 引入或剔除的变量Variables in Set （多选变量）集中的变量Variance 方差Vertical 垂直的，纵向的Vertical Alignment 纵向对齐方式View 观看-->窗口外观控制Viewer 浏览器WWeigh Cases 给变量加权Weight 重量，轻重-->线的粗细Weight Estimation 权重估计Weighted 加权的-->加权的个案数Weighted missing 加权的缺失值数Welch Welch 检验Welcome 欢迎(界面)Width 宽度Wilcoxon Wilcoxon 检验(用符号秩检验)Wilcoxon Signed Rank Test Wilcoxon符号秩检验Wilcoxon W 威尔科克松W 检验Window 窗口-->窗口控制Windows 视窗With normal curve 加上正态曲线Within Groups 组内值Working 当前正在用的Working Data File is keyed table 当前数据文件为关键表Working Date File 当前数据文件XX Axis X 轴X through highest 从X到最大值X through Y 从X到YYY Axis Y轴Yes 是ZZ Z 检验值Z Approximation Z 近似估计(整理自网络)。

SPSS统计分析最全中英文对照表

SPSS 专业技术词汇、短语的中英文对照索引% of cases 各类别所占百分比1-tailed 单尾的2 Independent Samples 两个独立样本的检验2 Related Samples 两个相关样本检验2-tailed 双尾的3-D (=dimensional) 三维-->三维散点图AAbove 高于Absolute 绝对的-->绝对值Add 加，添加Add Cases 合并个案Add cases from... 从……加个案Add Variables 合并变量Add variables from... 从……加变量Adj.(=adjusted) standardized 调整后的标准化残差Aggregate 汇总-->分类汇总Aggregate Data 对数据进行分类汇总Aggregate Function 汇总函数Aggregate Variable 需要分类汇总的变量Agreement 协议Align 对齐-->对齐方式Alignment 对齐-->对齐方式All 全部，所有的All cases 所有个案All categories equal 所有类别相等All other values 所有其他值All requested variables entered 所要求变量全部引入Alphabetic 按字母顺序的-->按字母顺序列表Alternative 另外的，备选的Analysis by groups is off 分组分析未开启Analyze 分析-->统计分析Analyze all cases, do not create groups 分析全部个案，不建立分组Annotation 注释ANOVA Table ANOVA表ANOVA table and eta (对分组变量)进行单因素方差分析并计算其 η 值Apply 应用Apply Data Dictionary 应用数据字典Apply Dictionary 应用数据字典Approximately 大约Approximately X% of all cases 从所有个案中随机选择约 X%的个案Approximation 近似估计Area 面积Ascend 上升Ascending counts 按频数的升序排列Ascending means 按均值升值排序Ascending values 按变量值的升序排列Assign 指定，分配Assign Rank 1 to 把秩值 1 分配给Assume 假定Asymp. Sig.(=Asymptotic Significance) (2-sided) 双尾渐近显著性检验Automatic 自动的Automatic Recode 自动重新编码Axis 轴Axis Title 横轴名称BBack 返回-->上一步Backward 向后-->向后剔除法Bar chart 条形图Bar Spacing 条形间距Bars Represent 条的长度所代表的统计量Based on negative ranks 基于负秩Based on time or case range 在给定范围内随机选择个案Below 低于Between Groups (Combined) 组间值Binomial 二项分布Bivariate 双变量的-->双变量相关分析Bivariate Correlations 双变量相关分析Both files provide cases 是由外部文件和当前文件二者都提供个案Bottom 底部-->下边框Break Variable 分类变量Brown-Forsythe Brown-Forsythe检验Browse 浏览CCache 贮存Cache Data 数据暂存Calculated from data 根据数据计算Cancel 取消Case 个案Case Label 个案标签Case Processing Summary 个案处理概要Casewise 以个案为单位Casewise diagnostics 个案诊断表Categories 分组数，分类变量，分类模式Categorize Variables 变量分类Category 类别-->单元格数据类型Category Axis 分类轴Cell 单元格Cell Display 单元格显示Cell Percentages 在每个单元格中输出百分比Cell Properties 单元格属性Cell Statistics 单元格中的统计量Center 中心-->居中，中间对齐Central Tendency 集中趋势Change 变化，更改Change Summary 改变汇总函数Chart 图表，图形Chart Type 统计图类型Chart values 作图数据选项Charts 确定生成的图形选项Chi-square test 卡方检验Chi-square（χ2）卡方Choose 选择Choose Destination Location 选择安装路径Classify 分类Clear 清除Close 关闭Cluster 群，组，分组Clustered 分组的-->分组条形图Clustered bar charts 分组条形图Cochran's and Mantel-Haenszel statistics ：Cochran 统计量与Mantel-Haenszel 统计量Cochran's Q Cochran Q 检验Code 编码Coefficient 系数Coefficient statistics 系数统计Collinearity 共线性Collinearity diagnostics 共线性诊断Column 列-->单元格中个案数占列总数的百分比Columns 列数-->显示宽度Comma 逗号-->带逗号的数值型变量Common 共同的Compact 最低要求安装Compare 比较，对比Compare groups 分组对比Compare Means 比较平均数Compare variables 比较变量Complete 完成Compute 计算Concordance 和谐Condition 条件Confidence Interval 置信区间Contingency coefficient 列联相关的 C 系数Continue 继续Contrast 对比Control 控制Convert 转换Convert numeric strings to numbers 将数值型字符转换为数字Copy 拷贝Copy Objects 拷贝对象Copy old value 拷贝旧变量Correlate 与……相关-->作相关分析Correlation 相关，关联Correlation Coefficient 相关系数Correlations 皮尔逊（Pearson）相关系数Count 个案数，次数，频数Counted value 用于计数的值Covariance 协方差Covariance Matrix 协方差矩阵Covariance ratio 协方差比率Creat new data file 创建新的数据文件Create Time Series 生成时间序列Criteria 标准（复数）Criterion 标准（单数）Cross-product 叉积Cross-product deviation 叉积离差Cross-product deviations and covariances 叉积离差与协方差Crosstab (=Cross-tabulation) 交叉列表Crosstabs 交叉列表（列联表）分析Cum.(=Cumulative) % of cases 累积百分比Cum.(=Cumulative) N of cases 累积频数Cumulative Percent 累计百分比Cumulative Sum 累积和Currency 货币-->货币型变量Current 目前的Current Selections 当前选择Current Settings 目前设置Current Status 目前状态Curve 曲线Curve Estimation 曲线估算Custom 自定义安装Custom Currency 自定义货币记法Cut 剪切Cut point 切分点Cut points for N equal groups 将数据分为N个个案数相同的组的切分点DData 数据-->数据文件的建立与编辑Data in Chart Are 图中数据为（用于统计量模式的选项）Data View 数据(编辑)窗口Database 数据库，数据文件Date 日期-->日期型变量Decimal 小数-->按小数点对齐Decimals 小数位数Define 定义Define Clusters by 以……定义分组（确定分组变量）Define Dates 定义日期Define Dichotomy 确定二分值Define Groups 确定分组Define Ranges 定义范围Define Sets 定义多选变量集Define Simple Bar 定义简单条形图Define Slices by 以……定义扇形块（确定分块变量）Define Variable Ranges 定义变量范围Degree 度，程度Degrees of freedom 自由度Delete 删除Deleted 删除掉-->删除未选个案，将残差删除Dependent 非独立的，依赖的-->因变量Dependent List 因变量/分析变量列表Derive 推导Derived 推导出的Derived axis 转换轴Descend 下降Descending counts 按频数的降序排列Descending means 按均值的降序列表Descending values 按变量值的降序排列Descriptive 描述性的Descriptive Statistics 描述统计Descriptives 描述统计Destination 目标Deviation 偏差，离差df (=degrees of freedom) 自由度Diagnostics 诊断Dialog 对话（框）Dichotomies 二分变量，二分模式Dichotomy 二分法，二分值，二分变量Dictionary 字典Directory 目录Discrete 离散的Discrete missing values 离散缺失值Dispersion 离散趋势Display 显示Display axis line 显示轴线Display chart with case labels 在图中显示个案标签Display clustered bar charts 显示聚类条图Display Data Info 显示数据的基本信息Display derived axis 显示转换轴Display frequencies tables （在输出结果中）显示频数表Display groups defined by missing values 对由缺失值定义的组也加以显示Display labels 显示标签Display legend 显示图例Display normal curve 显示正态曲线Display order 输出结果列表顺序Display summary tables 显示提要表Display the ReadMe file now? 是否现在显示软件说明文件Distribution 分布Division 分，除法Do not filter cases 不过滤个案Dollar 元，美元-->带美元符号的数值型变量Dot 圆点，句号-->带圆点的数值型变量Draft output 文本输出文件Drop-line 垂线图Durbin-Watson 系列相关检验，Durbin-Watson 系数EEdit 编辑-->文件编辑Enter 进入-->强行进入法Entry 进入Equal 等于Equal Variances Assumed 等方差假定Equal Variances Not Assumed 不假定等方差Equality 相等Estimate 估计-->估计值Eta η系数（用于测量一个定类变量与一个定比/定距变量之间的相关比率）Eta Squared η2Every 每一个Every N labels 每 N个标签Exactly 精确地Exactly M cases from the first N cases 在前N个个案中随机选择M个个案Exclude 排除，拒绝Exclude cases analysis by analysis 剔除分析变量为缺失值的个案Exclude cases listwise 剔除任何含有缺失值的个案Exclude cases listwise within categories 排除分类变量中的缺失值Exclude cases listwise within dichotomies 排除二分变量中的缺失值Exclude cases pairwise 剔除参与相关系数计算的两个变量中有缺失值的个案Exclude cases test-by-test 排除对比中的缺失值Excluded Variables 被拒绝变量Existing 现有的Exit 退出Expect 期望Expected 期望的-->期望频次Expected Range 理论分布范围Expected Value 期望值，理论值Exponential 指数的-->指数分布Export model information to XML file 将模型的信息输出到 XML 文件External file is keyed table 外部文件为关键表Extreme 极端FF F检验的值Factor 因素，因子-->影响因素变量File 文件-->文件操作File is already sorted 数据文件已排序Filter 过滤-->过滤变量Filter variable 过滤变量Filtered 过滤掉的-->生成过滤变量Find 查找Finish 完成First Case 第一个个案（最小值）First value 第一个观测值Fixed and random effects 确定性影响因素和随机影响因素Flag 旗帜，标记；做标记Flag significant correlations 标出达到显著性水平的相关系数Font 字体Footnote 脚注Format 格式Fraction 比率Frame 框，框架Freedom 自由Frequencies 频数分析，按频数作图Frequency 频率，频数Friedman Friedman检验Function 函数GGallery 美术馆-->图形转换功能Gamma γ等级相关系数General 一般General Linear Model 一般线性模型Get from data 由样本观测值确定Go to Case 查找个案Graph 图形Graphs 统计图Grid 网格Grid line 格线Grid lines 用竖线作刻度标志Group 群，组，分组Group Based on 根据……分组Group Statistics 分组统计分析Grouped Median 分组中位值Grouping Variable 分组变量HHelp 帮助Hidden 隐藏High 最大值Histogram 直方图Homogeneity 同质性-->齐次性Homogeneity of variance 方差齐次性Homogeneity-of-variance 方差齐次性检验Horizontal 水平的，横向的Horizontal Alignment 横向对齐方式Hypothesis 假设IIf condition is satisfied 如果满足一定条件Include 包含，包括Include constant in equation 在方程中包含常数项Increment 增量Independent 独立的-->自变量Independent List 自变量/分组变量列表Independent-Samples T Test 独立样本的 T 检验Independent-Samples Test 独立样本检验Indicate 指明，标明Indicate case source as variable 生成一个表明个案来源的变量Individual 单个，个体Influence 影响Influence Statistics 影响因素统计量Info (=Information) 信息Information 信息Inner 里面的Inner Frame 内框-->给图形增加内框Input Variable 输入变量Insert 插入Inside 在（某范围）之内Install (动) 安装Installation (名) 安装Into Different Variables 用重新编码的变量生成一个新变量Into Same Variables 用重新编码的变量取代原变量JJustification 对齐方式KK Independent Samples K个独立样本检验Kappa κ系数Kendall's Coefficient of Concordance 肯德尔和谐系数Kendall's tau-b 肯得尔等级相关τ-b 系数Kendall's tau-c 肯得尔等级相关τ-c 系数Kendall's W Kendall W 检验Key 关键的Key Variables 关键变量Kolmogorov-Smirnov Z 柯尔莫哥洛夫-斯米诺夫 Z 检验Kruskal-Wallis H Kruskal-Wallis H检验（用秩的平方和检验）Kurtosis 峰度，峰度系数LLabel 标签-->变量名标签Label Cases by 以……为个案标签Label Text 标签文字Lambda λ系数Largest value 最大值Last Case 最后一个个案（最大值）Last value 最后一个观测值Launch 开始Launch tutorial now? 现在开始看使用辅导Layer 层-->层变量Left 左-->居左，左对齐Left/bottom 左下Legend 图例Legend Title 图例标题Less 较少，较小Less than 小于Levene StatisticLevene’s Test for Equality of Variances 方差齐性检验License 许可，授权Likelihood 似然性Likelihood Ratio 似然比卡方Line 行，线-->线形图Line Represents 单线条所代表的统计量Line Style 线型Linear 线性Linear model 线性模型Linear Regression 线性回归分析，线性回归模型Lines Represent 多线条所代表的统计量List 列表Listwise 整个数据表Location 位置Log 对数-->对数尺度Lose 丢失Lost 丢失掉Low 最小值Lower 下限Lower Bound 下限Lowest through X 从最小值到 XLSD (=Least-significance difference) 能达到显著性水平的最小差异MMajor 主要的Major Divisions 大分度Mann-Whitney U 曼-维特尼 U检验（用秩和检验的方法进行）Margin 边距Margins 边距设置Marker 标记，标志Match 匹配Match cases on key variables in sorted files 按排序的关键变量匹配个案Match variables across response sets 输出与多选变量进行交叉分析的匹配变量的选择数和以选择总数为基础计算的边缘频率分布Matrix 矩阵-->矩阵散点图Maximum 最小值McNemar 麦克讷马Mean 均值Mean Difference 均值差Mean of Values 变量值的平均数Mean Rank 平均秩和Mean Square 平均平方和Means 平均数分析Means and standard deviations 均值与标准差Means plot 均值分布图Measure 测量-->测量层次Measurement level 测量层次Measures of AssociationMedian 中位数-->中位数检验法Median of Values 变量值的中位数Merge 合并Merge Files 合并(数据)文件Method 方法Minimum 最大值Minor 次要的Minor Divisions 小分度Missing 缺失，变量的缺失值Missing value 缺失值Missing Value Analysis 缺失值分析Mix 混合Mixed 混合的-->混合对齐Mode 众数Mode of Values 变量值的众数Model 模型Model fit 模型配置Model Summary 模型概要More 更多（选项）Moses 莫西Moses extreme reactions 莫西极值反应Most Extreme 最极值Mult (=Multiple) Response Sets 多选变量集Multiple 多个-->多线图Multiple Response 多选变量分析Multiple Variables 多变量选项NN (=Number) 个案数N of cases 各类别的频数Name 名称-->变量名Name & Label 名称与标签Name Variable 名称变量Negative 负Negative Difference 负差Negative Rank 负秩Network 网络New 新的-->新建(各种文件)New Value 新值New Working Data File 新的当前数据文件Next 下一个-->下一步No 否，无No missing values 无缺失值Nominal 定类变量Nominal by Interval 定类变量与定距变量间的相关系数None 无Nonlinear 非线性的-->非线性模型Nonparametric 非参数的Nonparametric Tests 非参数检验Normal 正态的-->正态分布Normal curve 正态曲线Normal probability plot 残差的正态概率图Notation 记号，记法Note 便条Notes 说明文字Number 数字，编号-->数字型变量Number Above 大于设定值的个案数Number Below 小于设定值的个案数Number of Cases 个案数目，频数Number of Runs 游程数Numeric 数值的-->标准数值型变量OObject 对象Observation 观察，观测-->样本观测值Observed 观测到的-->观测到的频次Observed Prop. (=proportion) 观察到的比例Odds 几率Off 关闭，未开启Offset from 距离OK 行了-->执行Old and New Values 新旧变量值的转换Old Value 旧值Omit 省略，略去On 开启One Sample T Test 单样本 T 检验One-sample K-S(Kolmogorov-Smirnov) test 单样柯尔莫哥洛夫-斯米诺夫检验One-Sample Statistics 单样本统计量One-Sample Test 单样本检验One-tailed 单尾的-->单尾检验One-Way ANOVA 简单方差分析Open 打开Open an existing data source 打开现存的数据文件Open another type of file 打开另一种类型的数据文件Open File 打开文档Option 选择，先项Options 先项Order 顺序Order by 排序选项Ordinal 定序变量Organization 组织Organize 组织（动）Organize output by groups 按分组变量组织输出Organize output by variables 各变量单独输出Orientation 定向Other summary function 其它汇总函数Outer 外面的Outer Frame 外框-->给图形增加外框Outlier 远离中心者-->远离均值的值Outliers outside X standard deviations 离均值 X个标准差之外的值Output 输出-->输出文件Output file specification 规定输出文件Output Variable 输出变量Output variables are strings 输出变量是字符型变量Outside 在（某范围）之外Overlay 重叠-->重叠散点图PPackage 包Pair 对，一对Paired 已配对的Paired Sample Correlations 配对样本相关系数Paired Sample Statistics 配对样本统计分析Paired Sample Test 配对样本检验Paired Variables 已配对样本Paired-Samples T Test 配对样本的 t 检验Pairwise 成对地Parameter 参数Parametric 参数的Part and partial correlations 部分相关与偏相关系数Part correlation 部分相关系数Partial 部分，偏Partial correlation 偏相关系数Paste 粘贴PC (=personal computer) 个人电脑Pct (=Percent) 百分比Pearson 皮尔逊Pearson Chi-Square 皮尔逊卡方值Pearson Correlation 皮尔逊相关系数Percentage 百分比Percentage Above 大于设定值的个案的百分比Percentage Below 小于设定值的个案的百分比Percentages 按百分比作图Percentages Based on 百分比基于……Percentile 百分位数Percentile Values 百分位数选项栏Percents and totals based on respondents 百分比与总数基于回答者人数Personal 个人的-->个人安装Personal or Shared Installation 个人或共享安装Phi and Cramér's V 列联相关的 V系数Pie chart 圆饼图，圆形图Pivot 支点，枢轴，在枢轴上的旋转运动-->表格转置（行列互换）Plot 绘图，图形Point 点Poisson 泊桑-->泊桑分布Positive 正Positive Difference 正差Positive Rank 正秩Post Hoc 发生于其后者-->确定均值有差别后的多重比较Predict 预测Predicted 预测的Predicted Values 预测值Prediction Intervals 预测区间Predictor 预测变量Preview 预览Print 打印Print Preview 打印预览Probability 概率Process 处理Processor 处理器Produce 产生，生成Provide 提供pt.(=point) 点-->象素点QQuartile 四分位数RR squared change R2 变化Random 随机的Random Number 随机数Random Number Seed 随机数初始值Random sample of cases 随机选择个案样本Range 范围，全距，极差Range of Grouping Variable 分组变量值的范围Range of missing values 缺失值范围Rank 秩Rank Assigned to Ties 对同值的秩的分配方法选项Rank Cases 对个案排秩Rank Types 秩变量类型Ratio 比率Read 读Read File 读取文件Read Text Data 读入文本格式的数据ReadMe 软件说明文件Ready 准备好了Ready to Install Files 准备安装界面Recent 最近Recently Used Data 最近用过的数据（文件）Recently Used Files 最近用过的文件Recode 重新编码Redo 恢复-->恢复上一步被撤销的操作Reference 参考，参照Reference Line 参照线Refresh 刷新Regression 回归Regression Standardized Residual 回归分析的标准化残差Remote 远程Remote server 远程服务器Removal 剔除Remove 取消-->删除Rename 重命名Replace 替换Replace Missing Values 替换缺失值Replace with mean 用平均值代替（缺失值）Replace working data file 替代当前的数据文件Report 报告Represent 代表Request 要求Reset 重设Residual 残余的，残余物-->残差Residual Statistics 残差统计表Response 回答Right 右-->居右，右对齐Right/top 右上Row 行-->单元格中个案数占行总数的百分比Row Order 行序（行的排列顺序）Run 执行Run Pending Transforms 运行等待中的转换Runs 游程Runs Test 游程检验SS.E. mean 均值的标准误S.E. of mean predictions 对均值标准误的预测Sample 样本Sample size 样本大小Satisfy 满足Save 保存Save As 另存为Save number of case in break group as variable 存储各分组变量的个案数Save standardized values as variables 将标准分存为新变量Save to New File 存为新文档Scale 尺度-->定距/定比变量Scatter 驱散-->散点Scatterplot 散点图Scientific 科学的Scientific Notation 科学计数法Script 程序Seed 种子-->初始值Select 选择Selected Label 选定的标签Selection Variable 选择变量Sequential 序列的Sequential ranks to unique values 相同值的秩次取第一个出现的秩次值Serial 系列的Serial Number 系列号Series 系列Series Displayed as 图形转换选项Server 服务器Set 集，集合Set Definition 多选变量集的定义Set Markers by 以……为标志Setting 设置Setup 安装Setup Complete 完成安装界面Setup Type 安装类型Shade 阴影Shading 阴影设置Share 共享Show 显示Sig. (=significance) 显著性，显著性水平Sign 符号-->符号检验法Significance level 显著性水平Simple 简单的-->简单条形图，单线图，简单散点图Skewness 偏度，偏度系数Slice 片，块-->扇形块Smallest value 最小值Social Science 社会科学Software 软件Software License Agreement 软件授权使用协议Somers' d Somers 等级相关 d 系数Sort 分类，排序Sort Cases 对个案进行归类、排序Sort order 排序规则Sort the file by grouping variables 按分组变量对数据文件进行排序Source 来源Specific 专门的，特定的Specific Values 专门值Specification 规定，规格Split 分割Split Files 分割文件SPSS (Statistical Package for Social Sciences) 社会科学统计软件包SPSS Data Editor 数据窗口编辑界面SPSS/PC(for DOS) DOS 版个人电脑用 SPSSStacked 分段条的-->分段条形图Standard deviation 标准差Standard Error of the Estimate 估计值的标准误Standardized 标准化的-->标准化残差Standardized Coefficient 标准化(回归)系数Standardized Residual Plots 标准化残差图Standardized value 标准分Statistic 统计量Statistical 统计的Statistics 统计学，统计量(复数)Statistics for First Layer 第一层分组的统计量Status 状态Std. Error Difference 标准误之差Std.(=Standard) Deviation 标准差Step 步Stepping 分步引入或剔除变量Stepping Method Criteria 变量引入模型或从模型中剔除的判断标准Stepwise 逐步-->逐步进入法Stop 停止，中断String 字符串-->字符型变量Studentized 将残差学生化Studentized deleted 将残差学生化并删除Style 风格，形式-->线型Subtitle 副标题Sum 总和Sum of Ranks 秩和Sum of Squares 总平方和Sum of Squares and Cross-products 离差平方和与叉积和Sum of Values 变量值的和Summaries for groups of cases 个案组概要（变量值模式）Summaries of separate variables 不同变量的概要（变量模式）Summary 概要-->统计概要Summary Function for Selected Va r i abl e s 选定变量的概要函数Suppress 压制，禁止Suppress table 隐藏表格Suppress tables with more than N categories 分组数大于N时禁止频数表在结果中输出Switch 切换Syntax 语句-->语句文件System 系统System-missing 系统缺失值System-or User-missing 系统或用户缺失值Tt t 统计量T test T 检验Table 表格Tables for 为（某变量）列表-->多选变量分析中要分析的变量Tail 尾Template 模板Tendency 趋势Test 检验Test distribution is Normal 待检分布为正态分布Test for linearity 检验线性相关Test Homogeneity of Variances 方差齐次性检验Test of Significance 显著性检验Test Pair List 待检变量对列表Test Prop.(=proportion) 待检比例Test Proportion 待检概率Test Type 检验类型，检验方法Test Value 待检值Test Variable 分析变量，待检变量Test Variable List 待检变量列表Tests for Several Independent Samples 多个独立样本检验Tick 标记Tick mark 标记Tick marks 用点作刻度标志Tick marks for skipped labels 给被越过的标签作标记Tie 同值-->相等的秩，无差（相等）Time 时间-->时间型变量Time Series 时间系列Title 标题Title Justification 标题对齐方式，标题位置Top 顶部-->上边框Total 总数-->单元格中个案数占个案总数的百分比Transform 转换-->数据转换Transpose 转置Transpose Rows and Columns 行列互换Transposition 转置（名）t-test for Equality of Means 均值相等的 t 检验Tutorial 辅导-->使用辅导Two Independent Samples 两个独立样本的检验Two-Related-Samples Tests 两个相关样本检验Two-tailed 双尾的-->双尾检验Type 类型-->变量类型Typical 典型安装UUncertainty 不确定性Uncertainty coefficient 不定系数Undo 撤销-->撤销上一步操作Uniform 均匀的-->均匀分布Unique 唯一的Unpaired 不匹配Unpaired variable 不匹配变量Unselected 未被选择的Unselected Case Are 未被选中的个案的处理方法选项Unstandardized 非标准化的-->非标准化残差Unstandardized Coefficient 非标准化(回归)系数Untransposed 未被转置的Unweighted 不加权的-->不加权的个案数Unweighted missing 不加权的缺失值数Upper 上限Upper Bound 上限Use chart specifications from 用……的图形规格Use F value 以 F值为标准Use filter variable 使用过滤变量Use probability of F 以 F的概率为标准Use specified range 使用特定的范围Use specified values 使用给定的变量值User 用户User Information 用户信息界面Utilities 实用程序Utility 利用，用途VValid 有效的Valid Cases 有效个案Valid Percent 有效百分比Va lue 值Value label 变量值标签Va lue s 变量值标签Values are group midpoints 取值为各组中点Values are grouped midpoints 变量值为各组中点Values of individual cases 个案值（观测值模式）Va r i abl e 变量Variable label 变量名标签Variable list 变量列表，按变量顺序列表Variable Name and Label 变量名称与标签Variable View 变量(编辑)窗口Variables Are Coded As 变量编码方式Variables Entered/Removed 引入或剔除的变量Variables in Set （多选变量）集中的变量Variance 方差Vertical 垂直的，纵向的Vertical Alignment 纵向对齐方式View 观看-->窗口外观控制Viewer 浏览器WWeigh Cases 给变量加权Weight 重量，轻重-->线的粗细Weight Estimation 权重估计Weighted 加权的-->加权的个案数Weighted missing 加权的缺失值数Welch Welch 检验Welcome 欢迎(界面)Width 宽度Wilcoxon Wilcoxon 检验(用符号秩检验)Wilcoxon Signed Rank Test Wilcoxon符号秩检验Wilcoxon W 威尔科克松 W 检验Window 窗口-->窗口控制Windows 视窗With normal curve 加上正态曲线Within Groups 组内值Working 当前正在用的Working Data File is keyed table 当前数据文件为关键表Working Date File 当前数据文件XX Axis X 轴X through highest 从 X到最大值X through Y 从 X到 YYY Axis Y轴Yes 是ZZ Z 检验值Z Approximation Z 近似估计(整理自网络)。

SPSS统计词汇

英汉统计学常用词汇（SPSS）Aabsolute deviation 绝对离差absolute residuals 绝对残差acceptable hypothesis 可接受假设acceptable region 接受域actual frequency 实际频数adaptive estimator 自适应估计量addition theorem 加法定理additivity 可加性adjusted R square 调整判别系数admissible error 容许误差alpha factoring α因子提取法alternative hypothesis 备择假设among groups 组间analysis of correlation 相关分析analysis of covariance 协方差分析analysis of regression 回归分析BBayesian estimation Beyes估计bell－shaped curve 钟形曲线best－trim estimator 最好切尾估计量beta distribution β分布between groups 组间的between measures 重复测量间的bivariate 双变量的bivariate correlate 二变量相关biweight interval 双权区间biweight M－estimator 双权M估计量block 区组/配伍组boxplot 箱线图Ccanonical correlation 典型相关case-control study 病例对照研究categorical variable 分类变量Cauchy distribution 柯西分布centering and scaling 中心化和定标central tendency 集中趋势chance statistics 随机统计量chance variable 随机变量chi-square distribution 卡方分布chi-square statistics 卡方统计量chi-square test 卡方检验classified variable 分类变量coefficient of skewness 偏度系数coefficient of variation 变异系数communality variance 共性方差compare means 均值比较分析complete association 完全正相关concomitant variable 伴随变量conditional likelihood 条件似然conditional probability 条件概率confidence limit 置信限consistency check 一致性检验consistent estimate 一致估计contingency tables 列联表continuous variable 连续变量control charts 控制图controlled experiments 对照实验conventional depth 常规深度correction coefficient 校正系数critical point 临界点critical ratio 临界比cumulative probability 累计概率curvature 曲率cyclist 周期性Ddata capacity 数据容量data deficiencies 数据缺乏data handling 数据处理data reduction 数据简化分析data transformation 数据变换degree of precision 精密度degree of reliability 可靠性程度density function 密度函数density of data points 数据点的密度derivative matrix 导数矩阵description 描述descriptive 描述性的deviation from average 离均差Df. Fit 拟合差值df（degree of freedom）自由度dichotomous variable 二分变量discriminant analysis 判别分析discriminant coefficient 判别系数disproportional 不成比例的dissimilarity 不相似性distribution shape 分布形状disturbance 随机扰动项double logarithmic 双对数Eeffect 实验效应effects of interaction 交互效应efficiency 有效性eigenvector 特征向量enumeration data 计数资料equal size 相等的数量error of estimate 估计误差error type Ⅰ第一类错误error type Ⅱ第二类错误estimation 估计量Euclidean distance 欧氏距离expectation plane 期望平面expectation surface 期望曲面expected value 期望值experimental sampling 试验抽样explanatory variable 解释变量explore Summarize 探索-摘要EXSMOOTH 指数平滑方法extended fit 扩充拟合extra parameter 附加参数extreme observation 末端观测值extreme value 极值Ffactor score 因子得分factorial designs 因子设计factorial experiment 因子试验failure rate 失效率family of estimators 估计量族fatality rate 病死率finite population 有限总体finite－sample 有限样本first derivative 一阶导数first quartile 第一四分位数Fisher information Fisher信息量fitting a curve 曲线拟合fixed model 固定模型fixed variable 固定变量fluctuation 随机起伏fourth 四分点fractional error 相对误差frequency polygon 频数多边图frontier point 界限点F-test F检验function 函数function relationship 泛函关系Ggamma distribution 伽玛分布general census 全面普查geometric mean 几何均值Gini’s mean difference 基尼均差goodness-of-fit 拟合优度gross-error sensitivity 大错敏感度group averages 分组平均grouped data 分组资料grouped median 组中值growth curve 生长曲线Hhalf-life 半衰期happenstance 偶然事件harmonic mean 调和均值hazard function 风险均数hazard rate 风险率Hessian array Hessian立体阵Heterogeneity 不同质heterogeneity 不齐性HOMAIS 多重响应分析homogeneity of variance 方差齐性homogeneity test 齐性检验Huber M-estimators Huber M估计量hyperbola 双曲线hypothesis 假设hypothesis test 假设检验hypothetical universe 假设总体Iimage factoring 典型因子提取法impossible event 不可能事件independent samples 独立样本independent variable 自变量indirect standardization 间接标准化法infinitely great 无穷大information capacity 信息容量interclass correlation 组内相关inter-item correlation 样本内相关interpolation 内插法interquartile range 四分位距interclass correlation 组间相关inverse matrix 逆矩阵item means 样本均值L large sample problem 大样本问题Latin square 拉丁方Latin square design 拉丁方设计Least-square estimation 最小二乘估计L-estimator of location 位置L估计量level of significance 显著性水平leverage value 中心化杠杆值life expectance 预期期望寿命life table 寿命表life table method 生命表法light-tailed distribution 轻尾分布likelihood function 似然函数likelihood ratio 似然比likelihood ratio test 似然比检验linear relation 线性关系linear trend 线性预测值loading 载荷location invariance 位置不变性log rank test 时序检验logarithmic scale 对数尺度logic check 逻辑检查logistic 逻辑的logistic distribution logistic分布logit model logit模型logit transformation logit转换logarithms 对数lost function 损失函数lower limit 下限MMahal Distance 马氏距离main effect 主效应maintainability 可维护度matched data 配对资料matched distribution 匹配分布matrix 矩阵maximum 最大值mean 均值mean difference 均值差值mean square 均方mean sum of square 均方和measure 度量median 中位数median lethal dose 半数致死量median polish 中位数平滑m-estimator M估计midpoint 中值model specification 模型的确定modeling statistics 型统计models for outliers 离群值模型modifying the model 模型的修正Monte Carle method 蒙特卡洛法multiple comparison 多重比较multiple correlation 多元相关系数multiple response 多重响应multiple response sets 多重响应集合multiple solutions 多解multiplication theorem 乘法定理multi-response 多元响应multi-stage sampling 多阶段抽样multivariate 多元的multivariate analysis 多元分析mutual exclusive 互不相容mutual independence 互相独立Nnegative correlation 负相关nominal variable 名义变量nonlinear regression 非线性相关nonlinear regression 非线性回归nonparamtric statistics 非参数统计nonparametric test 非参数检验normal distribution 正态分布normal P-P 正态P-P图normal probability 正态概率normal Q-Q 正态Q-Q图normal value 正常值null hypothesis 零假设Oobjective function 目标函数observation unit 观察单位observed value 观察值one sided test 单侧检验one-sample 单样本one-tailed test 单侧检验one-way classification 单因素分类order statistics 顺序统计量ordered categories 有序分类ordinal 序数ordinal variable 有序变量origin 原点orthogonal 正交的orthogonal design 正交试验设计Ppaired observations 成对观测数据paired design 配对设计paired sample 配对样本parametric statistics 参数统计Pearson curves Pearson曲线P-estimator P估计量pie chart 饼(圆)图Pitman estimator Pitman估计量pivot 枢轴量pivot table 枢轴表polynomial regression 多项式回归population 总体positive correlation 正相关posterior distribution 后验分布preliminary analysis 预备性分析probability 概率probability density 概率密度probability of F F显著性概率probit analysis 概率分析product moment 乘积矩／协方差QQ-Q Plot Q-Q概率图quadratic regression 二次多项式回归quadratic term 二次项quality control charts 质量控制图quantitative analysis 定量分析quartile 四分位数RR square 判别系数random 随机random event 随机事件random number 随机数random sampling 随机取样random variable 随机变量randomization 随机化rank statistic 秩统计量rank sum test 秩和检验rank test 秩检验ranked data 等级资料ratio analysis 比率分析raw data 原始资料Rayleigh's test 雷氏检验reciprocal 倒数reject region 拒绝域rejection point 拒绝点relative dispersion 相对离散度relative number 相对数reliability 可靠性reliability analysis 可靠性分析reliability test 可靠性检验report summaries 报告摘要residual 残差residual sum of square 残差平方和response 响应root mean square 均方根rotation 旋转row effects 行效应run test 游程检验S S. E．mean 均值的标准差S．E．of Kurtosis 峰度的标准差S．E．of Skewness 偏度的标准差sample size 样本容量sample space 样本空间sampling design 抽样设计sampling distribution 抽样分布sampling error 抽样误差sampling inspection 抽样检验scatter diagram 散点图schematic plot 示意图/简图score statistic 得分统计score test 计分检验sensitivity curve 敏感度曲线sequential analysis 贯序分析sequential data set 顺序数据集serial tests 系列试验series mean 系列均值sign test 符号检验signed rank 符号秩significance digits 有效数字significance test 显著性检验significant figure 有效数字similarity 相似性simple regression 简单回归skewed distribution 偏态分布skewness 偏度small sample problem 小样本问题Smirnov test Smirnov检验specific factor 特殊因子specific factor variance 特殊因子方差standard deviation 标准差standard error 标准误standard residual plots 标准化残差图standardize 标准化standardized coefficients标准化系数standardized residual 标准化残差statistics 统计学（量）、统计图表std．predicted value 标准预测值Std．residual 标准残差stem and leaf display 茎叶图step factor 步长因子stochastic models 随机模型stochastic process 随机过程survival 生存分析symmetry 对称systematic error 系统误差systematic sampling 系统抽样Ttest criterion 检验判据test for linearity 线性检验test of goodness of fit 拟和优度检验test of homogeneity 齐性检验test oh independence 独立性检验test rules 检验法则testing function 检验函数testing of hypotheses 假设检验theoretical frequency 理论频数time series 时间序列tolerance 容忍度tolerance interval 容忍区间tolerance limits 容限tolerance lower limit 容忍下限tolerance upper limit 容忍上限total sum of square 总平方和total variation 总变异transfer function 转换函数Uunbiased estimation 无偏估计unbiasedness 无偏性unequal size 不等含量unweight 不加权upper limit 上限upward rank 升秩V validity 有效性value 数值value of estimator 计值variability 变异性variable 变量variance components 方差成分variance ratio 方差比variation 变异various 不同的vector 向量WWeibull distribution 威布尔分布weighted mean square 加权平均方差weighted sum of square 加权平方和weighting coefficient 权重系数weighting method 加权法weighted average 加权平均值ZZ score Z分数Z test Z检验zero correlation 零相关Z-transformation Z变换。

[SPSS统计分析]汉英词汇表

%分数秩fractional rank as %1/平方根1/square root1减去生存函数one minus survival1减生存函数图function plot for one minus survival-2*对数似然值–2 log-likelihood5%调整均值5% trimmed mean95%置信区间95% confidence intervalAAD（平均绝对偏差）average absolute deviationACF 和 PACF 输出中的显示标签最大数Maximum number of lags shown in ACF andPACF outputAkaike信息准则Akaike information criterion ,AIC Anderberg D值Anderberg’s DAnderson-Rubin法Anderson-RubinAndrews波动估计值Andrews' wave estimatorANOVA表与eta ANOVA table and etaARIMA模型ARIMA modelARIMA模型参数ARIMA model parametersBartlett的近似值Bartlett's approximationBartlett法BartlettBartlett球形度检验Bartlett's Test of SphericityBlom法blomBox M检验Box's M testBox M统计量Box's MBray-Curtis非量度系数Bray-Curtis nonnumeric coefficientBreslow检验BreslowBrown 线性趋势Brown's linear trendBrown 指数平滑法Brown's exponential smoothingCF树调节准则CF tree tuning criteriaCochran Q检验Cochran’s Q testCochran χ2Cochran chi-squareCochran 检验Cochran testCochran's与Mantel-Haenszel统计量Cochran's and Mantel-Haenszel statistic Cohen κ系数cohen's kappaCook 距离Cook's distanceCox回归Cox regressionCox依时协变量Cox w/Time-Dep covCramer V值Cramer's VDurbin-Watson检验Durbin-Watson testEuclidean距离Euclidean distanceFisher函数系数Fisher's function coefficientFisher精确检验Fisher's exact testFisher线性判别函数Fisher’s linear discriminant functions Friedmanχ2Friedman chi-squareFriedman检验Friedman testg统计量gammaGabriel法GabrielGLM单变量方差分析GLM Univariate analysis of varianceGoodman与Kruskal τ统计量goodman and kruskal's tauGuttman半分可靠性Guttman split-half reliabilityGuttman模型Guttman modelsHampel再降M估计值Hampel's redescending M-estimator Hochberg法HochbergHolt 线性趋势Holt's linear trendHolt 指数平滑法Holt's exponential smoothingHosmer-Lemeshow 拟合度Hosmer-Lemeshow goodness-of-fitHosmer-Lemeshow 拟合优度统计量Hosmer-Lemeshow goodness-of-fit statistic Hotelling T2检验Hotelling's T-Squared testHotelling 轨迹Hotelling’s traceHuber稳健最大似然估计值Huber's M-estimatorh统计量etaJonckheere-Terpstra检验Jonckheere-Terpstra testKaplan-Meier法Kaplan-MeierKendall W检验Kendall’s W testKendall τc统计量Kendall's tau-cKendall 协同系数Kendall's coefficient of concordanceKMO抽样适度测定值Kaiser-Meyer-Olkin measure of samplingadequacyKMO和Bartlett检验KMO and Bartlett's testKMO和Bartlett球形度检验KMO and Bartlett’s test of sphericity Kolmogorov-Smirnov Z检验Kolmogorov-Smirnov Z testKruskal Wallis 检验Kruskal Wallis testLevene 统计量Levene statisticlogistic 回归logistic regressionlogistic分布logisticLogit对数线性分析Logit loglinear analysisLSD（最小显著差异法）least-significant differenceMahalanobis距离法Mahalanobis distanceMahal距离Mahal. distanceManhattan 距离Manhattan distanceMann-Whitney U检验Mann-Whitney U testMauchly 球形度检验Mauchly's test of sphericityMcNemar检验McNemar testMonte Carlo估计Monte CarloMoses极端反应检验Moses extreme reactions testM-估计量m-estimatorsN%percent of n inN份排秩ntilesOMS标识符OMS identifiersOMS控制面板OMS control panelPareto分布ParetoPearson χ2值Pearson chi-squarePearsonχ2检验Pearson chi-square testsPearson残差Pearson residualPearson拟合优度χ2值Pearson goodness-of-fit chi-squarePearson相关系数Pearson’s RPoisson(泊松)分布Poisson distributionP-P图P-P plotsQ-Q图Q-Q plotsR2，决定系数R-squareR2变化R squared changeR2改变量change in R2Rankit法RankitRidge 回归（脊回归）ridge regressionRidge惩罚值ridge penalty valuesROC曲线ROC curveROC曲线坐标点coordinate points of the ROC Curve Russell 和 Rao Russell and RaoSavage得分Savage scoreScheffe检验法ScheffeShapiro-Wilk统计量Shapiro-Wilk statisticShepard残差图Shepard residual plotSidak法SidakSomers d统计量Somers' dSpearman-Brown可靠性Spearman-Brown reliabilitySpearman等级相关系数Spearman's rhoSpearman相关系数Spearman correlationSSCP 矩阵SSCP matricesStudent t分布student tS曲线模型s-curveS应力收敛性S-stress convergenceTarone-Ware检验Tarone-Waret b 统计量（Kendall相关系数）Kendall’s tau-bt c 统计量Kendall’s tau-cTorgerson转换TorgersonTukey的可加性检验Tukey's test of additivityTukey二次加权估计值Tukey's biweight estimatorTukey法TukeyTukey可靠显著差异法Tukey HSDVan der Waerden法Van der WaerdenWald 统计量Wald statisticWald-Wolfowitz游程检验Wald-Wolfowitz runs testWard离均差平方和法Ward’s methodWeibull分布WeibullWilcoxon (比分) 统计量Wilcoxon (Gehan) statisticWilcoxon符号秩检验Wilcoxon signed ranks TestWilcoxon秩和检验Wilcoxon rank sum W TestWilks λ统计量Wilks' lambdaWinters可加性Winters' additiveWinters可加指数平滑法Winters' additive exponential smoothing Winters相乘性Winters' multiplicativeWinters相乘指数平滑法Winters' multiplicative exponential smoothingWLS权重（加权最小二乘法的加权变量）WLS weighX条形图使用标准差X-bar using standard deviationX条形图使用范围X-bar using rangeYates校正χ2值Yates' corrected chi-squareYoung S 应力公式1Young's S-stress formula 1Z得分Z scoresα系数coefficient alphaα因子分解alpha factoringβ分布betaδ值deltaη2值eta squaredη系数eta coefficientκ系数kappaλ统计量Lambdaσ数number of sigmasφ 4点相关性phi 4-point correlationφ2统计量度量Phi-square measureφ与Cramer 变量Phi and Cramer’s variablesφ值phiχ2chi-squareχ2检验，卡方检验chi-square testχ2统计量chi-square statisticχ2统计量度量chi-square measureχ2值增量improvement chi-squareA安装扩展束install extension bundles安装自定义对话框install custom dialog按变量顺序排除个案exclude cases variable by variable按变量组织输出organize output by variables按大小排序sorted by size按对排除个案exclude cases pairwise按分析顺序排除个案exclude cases analysis by analysis按分组变量排序文件sort the file by grouping variables按计数降序排序descending counts按计数升序排序ascending counts按检验排除个案exclude cases test-by-test按聚类进行描述descriptives by cluster按均值降序排序descending means按均值升序排序ascending means按列表排除个案exclude cases listwise按列表排除含有缺失值的个案exclude cases with missing values listwise 按列汇总report summaries in columns按区间标定nominal by interval按行汇总report summaries in rows按因子水平分组factor levels together按照排序文件中的关键变量匹配个案match cases on key variables in sorted files 按值降序排序descending values按值升序排序ascending values按质心坐标centroid coordinate按组变量排序sort by group variable按组组织输出organize output by groupsB百分比percent百分比标签percent label百分比差值percentage difference百分比基于percentages based on百分数percentage百分位数percentile百分位数值percentile value半参数方法semi-parametric半分split-half半分模型split-half models半正态分布half-normal帮助help包含included包含残差图include residual plots包含多项常量including multinomial constant包含明确分类的分界值include cutoff value for positive classification 包含协方差矩阵include the covariance matrix包含因变量常量include constant for dependent包含质心include centroids包括类别include categories of包括所有个案include all cases饱和saturated保存save保存变量save variables保存对象得分save object scores保存所有数据save all data保存新变量save new variables保留特征值大于eigenvalues greater than保留属性reserved attributes报告reports报告值report values被试内因子名称within-subject factor name比较变量compare variables比较第一个因子水平compare levels of first factor比较均值compare means比较列比例（z检验）compare column proportions (z-tests)比较列平均值（t检验）compare column means (t-tests)比较模型的统计量statistics for comparing models比较是精确的comparisons are exact比较因子compare factor比较因子水平compare factor levels比较主效应compare main effects比较组compare groups比例不符合proportion nonconforming比例估计proportion estimates比例估计公式proportion estimation formula比例危险度模型proportional hazard model比率ratio比率统计分析ratio statistics边际频率marginal frequencies边际同质性检验marginal homogeneity test编辑edit编辑查询edit query变量variables变量标签variable label变量标签或值标签variables labels or value labels变量的重要性等级rank of variables importance变量集variable sets变量集数number of sets of variables变量间between variables变量间相关系数correlation between variables变量列表variable list变量名称或值variable names or values变量名的前缀variable name prefix变量视图variable view变量显示顺序variable display order变量信息variable information变量与维数相关性variable and dimension correlations 变量摘要summaries of variable(s)变量之间差值differences between variables变量重要性绘制variable importance plot辨别度量，区分测量discrimination measures标称样条，名义样条spline nominal标记变量labeling variables标记显著性相关flag significant correlations标签label标签长度的限制limit for label length标识归因数据mark imputed data标识显著性差异identify significant differences标识异常个案identify unusual cases标识重复个案identify duplicate cases标题后面的行lines after title(s)标注对象label objects标注对象得分label object scores by标注个案label cases by标注后面的行lines after labels标注图label plots by标注子组subgroups labeled by标准criteria标准残差std. residual标准差standard deviation标准差std. deviation标准化standardized标准化 BIC 准则normalized BIC，NORMBIC标准化 DfFit standardized DfFit标准化DfBeta standardized DfBeta(s)标准化残差standardized residuals标准化残差图standardized residual plots标准化典型判别函数系数standardized canonical discriminant functioncoefficients标准化典型系数standardized canonical coefficients标准化方法standardization method标准误standard error标准误的Bootstrap估计（标准误自助估计）bootstrap estimates of standard error标准误法standard error method标准误和置信区间standard error and confidence interval标准系数standardized coefficients标准预测值std. predicted value标准值standardize values表tables表百分比table percentages表达式expression表格表达式table expression表格外观设置table look settings表面图surface冰柱图icicle饼图pie chart泊松Poisson补充变量supplementary variables补充对数-对数complementary log-log补充对象supplementary objects不包含多项常量excluding multinomial constant不存在absent不等于not equal to不定性系数，不确定系数uncertainty coefficient不分组dependents together不合格品率、不合格品数控制图p, np Control chart不考虑该个案时的分类leave-one-out classification不能计算的统计量statistics that cannot be computed不完全数据uncompleted data不相似性dissimilarities不要创建do not create步长限制step limit步进法stepwise method步进方法标准stepping method criteria步进概率probability for stepwise步进项stepwise terms步进选项stepwise options步进摘要summary of steps步骤摘要step summary部分（偏）最小平方回归partial least squares regression部分相关及偏相关性part and partial correlationsC菜单编辑器menu editor参考变量reference variable参考类别reference category参数parameters参数代码parameter coding参数估计parameter estimates参数估计的渐进协方差asymptotic covariance of parameter estimates 参数估计的相关性矩阵correlation matrix of parameter estimates参数估计值的渐进相关系数矩阵asymptotic correlation matrix of parameterestimates参数估计值的渐进相关性asymptotic correlation of parameter estimates 参数收敛性parameter convergence参数系数parameter coefficient残差residual残差SSCP 矩阵residual SSCP matrix残差χ2值residual chi-square残差部分自相关函数residual partial autocorrelation function，PACF残差平方和residual sum of squares残差图plot of residuals残差图residual plot残差自相关residual autocorrelations残差自相关函数residual autocorrelation function，ACF测量measurement测量水平measurement level层layer层strata层百分比layer percentages叉积离差阵cross-product of deviations叉积偏差和协方差cross-product deviations and covarances插入变量insert variable插入个案insert case查看已安装的扩展束view installed extension bundles查找find查找下一个find next差别面积图difference area chart差分difference差值类型type of difference拆分split拆分文件split file产生所有部分图produce all partial plots产生所有可能的弹性网络图produce all possible elastic net plots 常规，正态分布normal撤销undo成对比较pairwise comparisons成对样本相关系数paired samples correlations成分得分系数矩阵component score coefficient matrix 成分共变component covariation成分矩阵component matrix成分载荷component loading成分载荷图component loadings plot乘multiplying乘法multiplicative乘积极限估计法product limit estimate持续时间创建函数time duration creation function持续时间提取函数time duration extraction function尺度变量缺失值missing values for scale variables 尺度差分size difference尺度分析scale analysis抽取，提取extract抽样sampling初始变量的相关系数correlations original variables初始近似值与转换近似值original vs transformed proximities 初始距离更改阈值initial distance change threshold初始聚类中心initial cluster centers初始配置initial configuration初始特征值initial eigenvalues初始值starting value窗口window创建变量create variables创建对象得分create object scores创建近似值create approximations创建距离矩阵create distance matrix创建聚类成员变量create cluster membership variable 创建扩展束create extension bundles创建离散化数据create discretized data创建时间序列create time series创建系数统计create coefficient statistics创建新数据集create new dataset创建已转换的变量create transformed variables创建值的目的文件destination for created values创建只包含汇总变量的新数据集create a new dataset containing only theaggregated variables创新的innovational垂直冰柱图vicicle垂直对齐vertically align垂直线图drop-line line chart此时生存的累积比例cumulative proportion surviving at the time刺激坐标stimulus coordinate从PASW Statistics存储store from PASW Statistics从变量获取计数get counts from variable从迭代中检查数据点分离情况check separation of data points from iteration 从估计期对最后一个个案的预测predict from estimation period through last case从较晚个案获取值（提前）get value from later case(lead)从较早个案获取值（滞后）get value from earlier case(lag)从另一个变量from another variable从数据创建距离create distances from data从数据集读取read from dataset从数据计算计数compute counts from data从数据文件读取read from data file从数据中创建度量create measure from data从数据中创建近似值create proximities from data从数据中估计estimated from data从数据中获取get from data从数据中计算calculate from data从文件应用模板apply template from存储库repository存在presentD打开open打开的数据集an open dataset打开结观察值untie tied observations打开数据库open database打开文本数据read text data打印print打印对数似然print log-likelihood打印预览print preview大于greater than大于等于greater than or equal to大约所有个案的%approximately % of all cases代码本codebook带对角参考线with diagonal reference line带检验的正态图normality plots with tests带正态曲线with normal curve带状图ribbon待检验模式patterns to test待转换个案数number of cases to shift单变量univariate单变量方差分析univariate analysis of variance单变量检验univariate tests单变量检验结果univariate test results单变量描述性univariate descriptives单侧检验one-tailed单调性测量monotonicity measures单个变量separate variables单个变量图single variable chart(s)单个个案single case单个矩阵individual matrices for单个模型图plots for individual models单个样本统计量one-sample statistics单列中堆积的近似值the proximities are stacked in a single column 单拟合和多拟合single and multiple fit单随机起点single random start单图，分离线separate lines单位units单线separate lines for单向随机one-way random单形体simplex单样本Kolmogorov-Smirnov检验one-sample Kolmogorov-Smirnov test单样本t检验one-sample t test单样本非参数检验one-sample nonparametric tests单一方案single solution单因素方差分析one-way ANOVA单元格百分比cell percentages单元格可能性cell probabilities单元格权重cell weights单元格统计量cell statistics单元格信息cell information单元计数分布distribution of cell counts单元结构cell structure单元显示cell display单元协变量cell covariate(s)单值single value单值、移动极差控制图individuals, moving control chart单值控制图individual chart弹性网络elastic net弹性网络图elastic net plots当前变量current variable当前日期/时间函数current date/time function当前周期current periodicity当前状态current status导出CF树export CF tree导出到数据库export to database导出模型文件export model file导出最终模型export final model导入CF树XML文件import CF Tree XML file导数derivatives倒数reciprocal到其他变量to other variables得分score得分统计量score statistic等宽度间隔equal width intervals等于equal to低low低比例low proportion底端bottom第1层的统计量statistics for first layer第一个first第一个分割点的位置first cutpoint location第一个个案为first case is第一类别first category典型判别式函数系数canonical discriminant function coefficients 典型相关系数canonical correlation点dot点points点处的线性趋势linear trend at point点的标识依据identify points by点对距离的散点图scatterplot of disparities versus distances 点图dot plot调和均值harmonic mean调节adjusted调节残差值的正态概率normal probability for adjusted调整R2Adjusted R2调整标准化（残差）adjusted standardized调整残差adjusted residual调整残差图adjusted residuals plot调整预测值adjusted predicted value迭代标准iteration criteria迭代次数number of iterations迭代历史iteration history顶端top定位第一个块anchor first bin定义define定义变量集define variable sets定义变量属性define variable properties定义参数约束define parameter constraint定义堆栈define stacked by定义多重响应数据集define multiple response sets定义二分法define dichotomy定义范围define range定义分区define slices by定义规则define rules定义简单点图define simple dot plot定义聚类define clusters by定义人口金字塔define population pyramid定义日期define dates定义事件define event定义选择规则define selection rule定义验证规则define validation rules定义因子范围define range for factor定义子总体define subpopulations定义组define groups定制对话框custom dialogs动态聚类分析dynamic cluster动态数据dynamic data逗号comma读取变量read variables from读取初始聚类中心read initial读取外部数据reading external data独立模型independence model独立性检验（χ2验证）tests of independence (chi-square)独立样本t检验independent-samples t test度degree度量，尺度scale度量名称measure name度量水平level of measurement堆积/分群依据stack/cluster by堆积矩阵中的跨列近似值the proximities are in stacked matrices acrosscolumns堆积面积图stacked area chart堆积帕累托图stacked Pareto chart对比contrasts对比变量contrasts variable(s)对比系数矩阵contrast coefficient matrix对称symmetrical对称度量symmetric measures对称法symmetrical method对称与非对称λ统计量symmetric and asymmetric lambda对个案内的值计数count values within cases对类别排序sort categories对齐align对齐alignment within margins对数logarithmic对数生存函数图function plot for log survival对数似然性收敛性log-likelihood convergence对数似然值log-likelihood对数线性模型loglinear对数优势比log-odds ratio对数正态分布lognormal对数秩log rank对所有变量使用相同的重新编码设计use the same recoding scheme for all variables 对象得分object scores对象得分图object scores plot对象得分选项object scores options对象点object points对象点图object points plots对象和质心（双标图）objects and variables (biplot)对象权重subject weight对象图object plot对应表correspondence table对应表的排列permutations of the correspondence table对应度量correspondence measure对应分析correspondence analysis对于每层for each stratum多变量multivariate多变量检验multivariate tests多变量检验结果multivariate test results多标定multiple nominal多标定尺寸multiple nominal dimensions多标定维数dimensions for multiple nominal多层感知器multilayer perceptron多个变量multiple variables多个变量图multiple variable chart多个独立样本非参数检验tests for several independent samples多个关联样本检验tests for several related samples多个集合multiple sets多个矩阵源multiple matrix sources多个相关样本非参数检验test for several related samples多个源multiple sources多类别坐标图multiple category coordinates多列的近似值，每列一个源the proximities are in columns,one source percolumn多随机起点multiple random starts多图separate plots多维尺度multidimensional scaling多维尺度分析multidimensional scaling analysis，ALSCAL 多维邻近尺度分析multidimensional scaling analysis，PROXSCAL多维展开分析multidimensional unfolding analysis，PREFSCAL多系统性起点，多重系统性起点multiple systematic starts多线图multiple line chart多响应集mult response sets多项 logistic回归multinomial logistic regression多项式polynomial多项式分布multinomial多应力度量标准multiple stress measures多元（变量）方差分析multivariate analysis of variance多元方差分析multivariate ANOVA, MANOVA多重比较multiple comparisons多重对应分析Homogeneity analysis, HOMALS多重对应分析multiple correspondence analysis，MCA多重分类multiple category多重归因multiple imputation多重响应multiple response多重响应集multiple response sets多重响应交叉表分析multiple response crosstabs多重响应频数分析multiple response frequenciesE二次项quadratic二分法dichotomies二分类度量binary measure二阶段最小二乘法two-stage least-squares二阶段最小二乘回归2-stage least squares regression二阶聚类分析twostep cluster analysis二维点图2-D dot plot二项式分布binomial distribution二项式检验binomial test二值logistic 回归binary logistic regressionF发布到Web publish Web反向刻度reverse scale反应百分比percentage of responses反影像anti-image反影像相关矩阵anti-image correlation matrix反影像协方差矩阵anti-image covariance matrix范围，从值到最高range, value to highest范围，从最低到值range, lowest through value范围，极差，全距range范围加上一个可选离散缺失值range plus one optional discrete missing value范围内的百分比percentage in range范围内的个数number in range方案strategy方案范围range of solutions方差variance方差百分比percentage of variance方差成分variance components方差成分分析variance components analysis方差成分估计variance component estimates方差分析analysis of variance, ANOVA方差分析表analysis-of-variance table ，ANOVA table方差解释百分比percentage of variance explained方差膨胀因子variance inflation factor方差齐性Levene 检验Levene test for homogeneity of variance方差齐性检验homogeneity tests方差齐性检验test of homogeneity of variances方差同质性检验homogeneity of variance test方差—协方差矩阵var-covar matrix of regression coefficients(B)方差—协方差矩阵variance-covariance matrix方程中的变量variables in the equation方向orientation非标准化函数系数unstandardized function coefficient非标准化系数unstandardized coefficients非参数nonparametric非参数检验nonparametric tests非活动数据集为基于关键字的表non-active dataset is keyed table非计量多维尺度分析nonnumeric MDS非季节性nonseasonal非缺失值nonmissing values非线性nonlinear非线性典型相关分析nonlinear canonical correlation analysis，OVERALS非线性典型相关性nonlinear canonical correlation (OVERALS)非线性回归nonlinear regression非线性回归分析non-linear regression analysis非整数权重noninteger weights分别在每个源内within each source separately分布distribution分布参数distribution parameters分布假定distribution assumption分布-水平图spread vs. level plot分布自由distribution-free分层抽样stratified分层列/行响应 %（基数：计数）layer col/row responses % (base: count)分层列/行响应 %（基数：响应）layer col/row responses %(base: responses)分层行和分层列百分比layer row and layer column percentages分段条形图，堆积条形图stacked bar chart分割依据split by分隔点数量number of cutpoints分类，分类分析classify分类变量categorical variables分类标准值classification cutoff分类表classification table分类函数系数classification function coefficients分类和总计categories and total分类回归categorical regression，CATREG分类汇总aggregate分类结果classification results分类树状图dendrogram分类图classification plots分类协变量categorical covariates分类主成分分析categorical principal components analysis，CATPCA分类资料categorical分母denominator分区标签slices label分区表征slices represent分数fractions分数秩fractional rank分析analyze分析变量analysis variables分析模式analyze patterns分析所有个案，不创建组analyze all cases, do not create groups分页之前跳过行数skip lines before break n分子numerator分组grouping分组变量break variable(s)分组变量grouping variable(s)分组方式groups based on分组列break columns分组协方差separate-groups covariance分组协方差矩阵separate-groups covariance matrix风险risk风险估计risk estimate峰度kurtosis峰度的标准误std. error of kurtosis符号检验，差数秩检验signed test负对数-对数negative log-log负对数累积生存函数的对数log minus log survival function负类别minus category附（邻）近点的跨度span of nearby points附加分类extra category复多维尺度分析replicated MDS，RMDS复合compound复式高低收盘图clustered high-low-close chart复式极差图clustered range bar chart复式条形图clustered bar chart复式误差条图clustered error bar复式箱图clustered boxplot复相关系数multiple R复杂抽样complex sample复杂抽样计划complex sample plan复制copy复制块copy bins复制数据集copy dataset复制数据属性copy data properties复制属性copy propertiesG概率probabilities概率单位法probit，probability unit概率密度probability density概率密度函数Probability density functions ,PDF 概率密度函数图function plot for density杠杆值leverage values高high高比例high proportion高-低图high-low charts割点cut point割点n相等组cut points for n equal groups格式format个案百分比percentage of cases个案标签case labels个案残差列表casewise listing of residuals个案处理摘要case processing summary个案的累积百分比cum. percentage of cases个案的累积个数cum. number of cases个案汇总case summaries个案间between cases个案结果casewise results个案排秩rank cases个案全距range of cases个案权重总和sum of case weights个案数number of cases个案数的%% of cases个案为cases are个案为子组cases are subgroups个案研究case studies个案诊断casewise diagnostics个案值values of individual case个案组groups of cases个案组的计数或和counts or sums for groups of cases个案组摘要summaries for groups of cases个案组之间移动的差值differences between groups of cases个别差异Euclidean距离individual differences Euclidean distance个别差异尺度模型individual differences scaling model，INDSCAL个别差异模型individual difference model，INDSCAL个别个案individual cases个别模型的统计量statistics for individual models个别主题图individual subject plots个体individuals个体和移动全距individuals and moving range各个变量的摘要summaries of separate variables根据以下项优化块optimize bins with respect to根据指示符的值进行筛选filter by indicator values根据组大小计算compute from group sizes更改对比change contrast更改符号change sign更改值change value更高级别的周期periodicity at higher level工具变量instrumental工具栏toolbars工作数据文件working data file工作文件working file公共方差common variance公共空间common space公共空间的约束restrictions on common space公共空间散点图common space scatterplot公共空间坐标common space coordinates公共空间坐标coordinate of the common space公因子方差communality功效估计estimates of effect size共线性诊断collinearity diagnostics构建项build term(s)购买倾向分析propensity to purchase估计estimates估计的标准误standard error of the estimate估计方法estimation method估计公共项目间相关性estimated common inter-item correlation估计可靠性estimated reliability估计响应概率estimated response probabilities估计值的相关性correlation of estimates估算边际均值estimated marginal means古典多维尺度分析classical MDS，CMDS固定fixed固定因子fixed factor(s)关闭close关键变量key variable观测均值的两两比较post hoc multiple comparisons observed means观测值observed values观测值汇总total observed观测组observed group观测组与预测概率图observed groups and predicted probabilitieschart惯量inertia广义Euclidean模型generalized Euclidean model广义对数优势比generalized log-odds ratio，GLOR广义估计方程generalized estimating equations广义欧几里德generalized Euclidean广义线性模型generalized linear models归因缺失数据值impute missing data values规格限制specification limits规则rule规则化模型和系数regularized models and coefficients过程度量process measurement过程容量指标process capability indices过滤掉未选定的个案filter out unselected casesH含时间—依赖协变量的Cox回归time-dependent Cox regression函数function函数和特殊变量functions and special variables函数精度function precision函数组functions group合并merge合并进程表agglomeration schedule合并文件merge files合计、总和sum合计N%percent of total n合计百分比sum percentage恒等函数identity忽略不重要的变量omit insignificant variables缓存数据cache data回归regression回归平方和sum of squares for regression回归系数regression coefficients回归系数的95%置信区间95% confidence interval回归系数的标准误standard error of B回归系数符号signs of regression coefficients汇聚的组内矩阵pooled within-groups matrices汇总变量aggregate variable(s)汇总函数aggregate function汇总数据aggregate data混合模型mixed models混乱矩阵confusion matrix活动数据集active dataset活动数据集为基于关键字的表active dataset is keyed tableJ基本个案指示符indicator of primary cases基于拟合优度过滤模型filter models based on goodness of fit基于时间或个案全距based on time or case range基于特征值based on eigenvalue基于已扫描个案的等百分位equal percentiles based on scanned cases级别数number of levels极差图的违犯规则rule violations for range极大值maximum极小值minimum集合中的变量variables in set集中趋势central tendency集中趋势和离散central tendency and dispersion集中指数concentration index几何均值geometric mean计量多维尺度分析metric MDS计数count计数饼图pie of counts计数度量counts measure计数条形图bar of counts计数值counted value计算变量compute variable计算多个类别集中的重复响应count duplicate responses for multiple categorysets计算个案内值出现次数count occurrences of values within cases计算距离compute distances计算页数的起点number pages from n计算依时协变量computing time-dependent covariates季节分解法seasonal decomposition季节性差分seasonal difference季节性阶seasonal orders季节性可加的seasonal additive加法additive加权weighted加权，权重weight加权Euclidean模型weighted Euclidean model加权变量weight variable。

SPSS统计分析中英文对照表

SPSS 专业技术词汇、短语的中英文对照索引% of cases 各类别所占百分比1-tailed 单尾的2 Independent Samples 两个独立样本的检验2 Related Samples 两个相关样本检验2-tailed 双尾的3-D (=dimensional) 三维-->三维散点图AAbove 高于Absolute 绝对的-->绝对值Add 加，添加Add Cases 合并个案Add cases from... 从……加个案Add Variables 合并变量Add variables from... 从……加变量Adj.(=adjusted) standardized 调整后的标准化残差Aggregate 汇总-->分类汇总Aggregate Data 对数据进行分类汇总Aggregate Function 汇总函数Aggregate Variable 需要分类汇总的变量Agreement 协议Align 对齐-->对齐方式Alignment 对齐-->对齐方式All 全部，所有的All cases 所有个案All categories equal 所有类别相等All other values 所有其他值All requested variables entered 所要求变量全部引入Alphabetic 按字母顺序的-->按字母顺序列表Alternative 另外的，备选的Analysis by groups is off 分组分析未开启Analyze 分析-->统计分析Analyze all cases, do not create groups 分析全部个案，不建立分组Annotation 注释ANOV A Table ANOV A表ANOV A table and eta (对分组变量)进行单因素方差分析并计算其η值Apply 应用Apply Data Dictionary 应用数据字典Apply Dictionary 应用数据字典Approximately 大约Approximately X% of all cases 从所有个案中随机选择约X%的个案Approximation 近似估计Area 面积Ascend 上升Ascending counts 按频数的升序排列Ascending means 按均值升值排序Ascending values 按变量值的升序排列Assign 指定，分配Assign Rank 1 to 把秩值1 分配给Assume 假定Asymp. Sig.(=Asymptotic Significance) (2-sided) 双尾渐近显著性检验Automatic 自动的Automatic Recode 自动重新编码Axis 轴Axis Title 横轴名称BBack 返回-->上一步Backward 向后-->向后剔除法Bar chart 条形图Bar Spacing 条形间距Bars Represent 条的长度所代表的统计量Based on negative ranks 基于负秩Based on time or case range 在给定范围内随机选择个案Below 低于Between Groups (Combined) 组间值Binomial 二项分布Bivariate 双变量的-->双变量相关分析Bivariate Correlations 双变量相关分析Both files provide cases 是由外部文件和当前文件二者都提供个案Bottom 底部-->下边框Break Variable 分类变量Brown-Forsythe Brown-Forsythe检验Browse 浏览CCache 贮存Cache Data 数据暂存Calculated from data 根据数据计算Cancel 取消Case 个案Case Label 个案标签Case Processing Summary 个案处理概要Casewise 以个案为单位Casewise diagnostics 个案诊断表Categories 分组数，分类变量，分类模式Categorize Variables 变量分类Category 类别-->单元格数据类型Category Axis 分类轴Cell 单元格Cell Display 单元格显示Cell Percentages 在每个单元格中输出百分比Cell Properties 单元格属性Cell Statistics 单元格中的统计量Center 中心-->居中，中间对齐Central Tendency 集中趋势Change 变化，更改Change Summary 改变汇总函数Chart 图表，图形Chart Type 统计图类型Chart values 作图数据选项Charts 确定生成的图形选项Chi-square test 卡方检验Chi-square（χ2）卡方Choose 选择Choose Destination Location 选择安装路径Classify 分类Clear 清除Close 关闭Cluster 群，组，分组Clustered 分组的-->分组条形图Clustered bar charts 分组条形图Cochran's and Mantel-Haenszel statistics ：Cochran 统计量与Mantel-Haenszel 统计量Cochran's Q Cochran Q 检验Code 编码Coefficient 系数Coefficient statistics 系数统计Collinearity 共线性Collinearity diagnostics 共线性诊断Column 列-->单元格中个案数占列总数的百分比Columns 列数-->显示宽度Comma 逗号-->带逗号的数值型变量Common 共同的Compact 最低要求安装Compare 比较，对比Compare groups 分组对比Compare Means 比较平均数Compare variables 比较变量Complete 完成Compute 计算Concordance 和谐Condition 条件Confidence Interval 置信区间Contingency coefficient 列联相关的C 系数Continue 继续Contrast 对比Control 控制Convert 转换Convert numeric strings to numbers 将数值型字符转换为数字Copy 拷贝Copy Objects 拷贝对象Copy old value 拷贝旧变量Correlate 与……相关-->作相关分析Correlation 相关，关联Correlation Coefficient 相关系数Correlations 皮尔逊（Pearson）相关系数Count 个案数，次数，频数Counted value 用于计数的值Covariance 协方差Covariance Matrix 协方差矩阵Covariance ratio 协方差比率Creat new data file 创建新的数据文件Create Time Series 生成时间序列Criteria 标准（复数）Criterion 标准（单数）Cross-product 叉积Cross-product deviation 叉积离差Cross-product deviations and covariances 叉积离差与协方差Crosstab (=Cross-tabulation) 交叉列表Crosstabs 交叉列表（列联表）分析Cum.(=Cumulative) % of cases 累积百分比Cum.(=Cumulative) N of cases 累积频数Cumulative Percent 累计百分比Cumulative Sum 累积和Currency 货币-->货币型变量Current 目前的Current Selections 当前选择Current Settings 目前设置Current Status 目前状态Curve 曲线Curve Estimation 曲线估算Custom 自定义安装Custom Currency 自定义货币记法Cut 剪切Cut point 切分点Cut points for N equal groups 将数据分为N个个案数相同的组的切分点DData 数据-->数据文件的建立与编辑Data in Chart Are 图中数据为（用于统计量模式的选项）Data View 数据(编辑)窗口Database 数据库，数据文件Date 日期-->日期型变量Decimal 小数-->按小数点对齐Decimals 小数位数Define 定义Define Clusters by 以……定义分组（确定分组变量）Define Dates 定义日期Define Dichotomy 确定二分值Define Groups 确定分组Define Ranges 定义范围Define Sets 定义多选变量集Define Simple Bar 定义简单条形图Define Slices by 以……定义扇形块（确定分块变量）Define Variable Ranges 定义变量范围Degree 度，程度Degrees of freedom 自由度Delete 删除Deleted 删除掉-->删除未选个案，将残差删除Dependent 非独立的，依赖的-->因变量Dependent List 因变量/分析变量列表Derive 推导Derived 推导出的Derived axis 转换轴Descend 下降Descending counts 按频数的降序排列Descending means 按均值的降序列表Descending values 按变量值的降序排列Descriptive 描述性的Descriptive Statistics 描述统计Descriptives 描述统计Destination 目标Deviation 偏差，离差df (=degrees of freedom) 自由度Diagnostics 诊断Dialog 对话（框）Dichotomies 二分变量，二分模式Dichotomy 二分法，二分值，二分变量Dictionary 字典Directory 目录Discrete 离散的Discrete missing values 离散缺失值Dispersion 离散趋势Display 显示Display axis line 显示轴线Display chart with case labels 在图中显示个案标签Display clustered bar charts 显示聚类条图Display Data Info 显示数据的基本信息Display derived axis 显示转换轴Display frequencies tables （在输出结果中）显示频数表Display groups defined by missing values 对由缺失值定义的组也加以显示Display labels 显示标签Display legend 显示图例Display normal curve 显示正态曲线Display order 输出结果列表顺序Display summary tables 显示提要表Display the ReadMe ? 是否现在显示软件说明文件Distribution 分布Division 分，除法Do not filter cases 不过滤个案Dollar 元，美元-->带美元符号的数值型变量Dot 圆点，句号-->带圆点的数值型变量Draft output 文本输出文件Drop-line 垂线图Durbin-Watson 系列相关检验，Durbin-Watson 系数EEdit 编辑-->文件编辑Enter 进入-->强行进入法Entry 进入Equal 等于Equal Variances Assumed 等方差假定Equal Variances Not Assumed 不假定等方差Equality 相等Estimate 估计-->估计值Eta η系数（用于测量一个定类变量与一个定比/定距变量之间的相关比率）Eta Squared η2Every 每一个Every N labels 每N个标签Exactly 精确地Exactly M cases from the first N cases 在前N个个案中随机选择M个个案Exclude 排除，拒绝Exclude cases analysis by analysis 剔除分析变量为缺失值的个案Exclude cases listwise 剔除任何含有缺失值的个案Exclude cases listwise within categories 排除分类变量中的缺失值Exclude cases listwise within dichotomies 排除二分变量中的缺失值Exclude cases pairwise 剔除参与相关系数计算的两个变量中有缺失值的个案Exclude cases test-by-test 排除对比中的缺失值Excluded Variables 被拒绝变量Existing 现有的Exit 退出Expect 期望Expected 期望的-->期望频次Expected Range 理论分布范围Expected Value 期望值，理论值Exponential 指数的-->指数分布Export model information to XML file 将模型的信息输出到XML 文件External keyed table 外部文件为关键表Extreme 极端FF F检验的值Factor 因素，因子-->影响因素变量File 文件-->文件操作already sorted 数据文件已排序Filter 过滤-->过滤变量Filter variable 过滤变量Filtered 过滤掉的-->生成过滤变量Find 查找Finish 完成First Case 第一个个案（最小值）First value 第一个观测值Fixed and random effects 确定性影响因素和随机影响因素Flag 旗帜，标记；做标记Flag significant correlations 标出达到显著性水平的相关系数Font 字体Footnote 脚注Format 格式Fraction 比率Frame 框，框架Freedom 自由Frequencies 频数分析，按频数作图Frequency 频率，频数Friedman Friedman检验Function 函数GGallery 美术馆-->图形转换功能Gamma γ等级相关系数General 一般General Linear Model 一般线性模型Get from data 由样本观测值确定Go to Case 查找个案Graph 图形Graphs 统计图Grid 网格Grid line 格线Grid lines 用竖线作刻度标志Group 群，组，分组Group Based on 根据……分组Group Statistics 分组统计分析Grouped Median 分组中位值Grouping Variable 分组变量HHelp 帮助Hidden 隐藏High 最大值Histogram 直方图Homogeneity 同质性-->齐次性Homogeneity of variance 方差齐次性Homogeneity-of-variance 方差齐次性检验Horizontal 水平的，横向的Horizontal Alignment 横向对齐方式Hypothesis 假设IIf condition is satisfied 如果满足一定条件Include 包含，包括Include constant in equation 在方程中包含常数项Increment 增量Independent 独立的-->自变量Independent List 自变量/分组变量列表Independent-Samples T Test 独立样本的T 检验Independent-Samples Test 独立样本检验Indicate 指明，标明Indicate case source as variable 生成一个表明个案来源的变量Individual 单个，个体Influence 影响Influence Statistics 影响因素统计量Info (=Information) 信息Information 信息Inner 里面的Inner Frame 内框-->给图形增加内框Input Variable 输入变量Insert 插入Inside 在（某范围）之内Install (动) 安装Installation (名) 安装Into Different Variables 用重新编码的变量生成一个新变量Into Same Variables 用重新编码的变量取代原变量JJustification 对齐方式KK Independent Samples K个独立样本检验Kappa κ系数Kendall's Coefficient of Concordance 肯德尔和谐系数Kendall's tau-b 肯得尔等级相关τ-b 系数Kendall's tau-c 肯得尔等级相关τ-c 系数Kendall's W Kendall W 检验Key 关键的Key Variables 关键变量Kolmogorov-Smirnov Z 柯尔莫哥洛夫-斯米诺夫Z 检验Kruskal-Wallis H Kruskal-Wallis H检验（用秩的平方和检验）Kurtosis 峰度，峰度系数LLabel 标签-->变量名标签Label Cases by 以……为个案标签Label Text 标签文字Lambda λ系数Largest value 最大值Last Case 最后一个个案（最大值）Last value 最后一个观测值Launch 开始Launch tutorial now? 现在开始看使用辅导Layer 层-->层变量Left 左-->居左，左对齐Left/bottom 左下Legend 图例Legend Title 图例标题Less 较少，较小Less than 小于Levene StatisticLevene’s Test for Equality of Variances 方差齐性检验License 许可，授权Likelihood 似然性Likelihood Ratio 似然比卡方Line 行，线-->线形图Line Represents 单线条所代表的统计量Line Style 线型Linear 线性Linear model 线性模型Linear Regression 线性回归分析，线性回归模型Lines Represent 多线条所代表的统计量List 列表Listwise 整个数据表Location 位置Log 对数-->对数尺度Lose 丢失Lost 丢失掉Low 最小值Lower 下限Lower Bound 下限Lowest through X 从最小值到XLSD (=Least-significance difference) 能达到显著性水平的最小差异MMajor 主要的Major Divisions 大分度Mann-Whitney U 曼-维特尼U检验（用秩和检验的方法进行）Margin 边距Margins 边距设置Marker 标记，标志Match 匹配Match cases on key variables in sorted files 按排序的关键变量匹配个案Match variables across response sets 输出与多选变量进行交叉分析的匹配变量的选择数和以选择总数为基础计算的边缘频率分布Matrix 矩阵-->矩阵散点图Maximum 最小值McNemar 麦克讷马Mean 均值Mean Difference 均值差Mean of Values 变量值的平均数Mean Rank 平均秩和Mean Square 平均平方和Means 平均数分析Means and standard deviations 均值与标准差Means plot 均值分布图Measure 测量-->测量层次Measurement level 测量层次Measures of AssociationMedian 中位数-->中位数检验法Median of Values 变量值的中位数Merge 合并Merge Files 合并(数据)文件Method 方法Minimum 最大值Minor 次要的Minor Divisions 小分度Missing 缺失，变量的缺失值Missing value 缺失值Missing Value Analysis 缺失值分析Mix 混合Mixed 混合的-->混合对齐Mode 众数Mode of Values 变量值的众数Model 模型Model fit 模型配置Model Summary 模型概要More 更多（选项）Moses 莫西Moses extreme reactions 莫西极值反应Most Extreme 最极值Mult (=Multiple) Response Sets 多选变量集Multiple 多个-->多线图Multiple Response 多选变量分析Multiple Variables 多变量选项NN (=Number) 个案数N of cases 各类别的频数Name 名称-->变量名Name & Label 名称与标签Name Variable 名称变量Negative 负Negative Difference 负差Negative Rank 负秩Network 网络New 新的-->新建(各种文件)New Value 新值New Working Data File 新的当前数据文件Next 下一个-->下一步No 否，无No missing values 无缺失值Nominal 定类变量Nominal by Interval 定类变量与定距变量间的相关系数None 无Nonlinear 非线性的-->非线性模型Nonparametric 非参数的Nonparametric Tests 非参数检验Normal 正态的-->正态分布Normal curve 正态曲线Normal probability plot 残差的正态概率图Notation 记号，记法Note 便条Notes 说明文字Number 数字，编号-->数字型变量Number Above 大于设定值的个案数Number Below 小于设定值的个案数Number of Cases 个案数目，频数Number of Runs 游程数Numeric 数值的-->标准数值型变量OObject 对象Observation 观察，观测-->样本观测值Observed 观测到的-->观测到的频次Observed Prop. (=proportion) 观察到的比例Odds 几率Off 关闭，未开启Offset from 距离OK 行了-->执行Old and New Values 新旧变量值的转换Old Value 旧值Omit 省略，略去On 开启One Sample T Test 单样本T 检验One-sample K-S(Kolmogorov-Smirnov) test 单样柯尔莫哥洛夫-斯米诺夫检验One-Sample Statistics 单样本统计量One-Sample Test 单样本检验One-tailed 单尾的-->单尾检验One-Way ANOV A 简单方差分析Open 打开Open an existing data source 打开现存的数据文件Open another type of file 打开另一种类型的数据文件Open File 打开文档Option 选择，先项Options 先项Order 顺序Order by 排序选项Ordinal 定序变量Organization 组织Organize 组织（动）Organize output by groups 按分组变量组织输出Organize output by variables 各变量单独输出Orientation 定向Other summary function 其它汇总函数Outer 外面的Outer Frame 外框-->给图形增加外框Outlier 远离中心者-->远离均值的值Outliers outside X standard deviations 离均值X个标准差之外的值Output 输出-->输出文件Output 规定输出文件Output Variable 输出变量Output variables are strings 输出变量是字符型变量Outside 在（某范围）之外Overlay 重叠-->重叠散点图PPackage 包Pair 对，一对Paired 已配对的Paired Sample Correlations 配对样本相关系数Paired Sample Statistics 配对样本统计分析Paired Sample Test 配对样本检验Paired Variables 已配对样本Paired-Samples T Test 配对样本的t 检验Pairwise 成对地Parameter 参数Parametric 参数的Part and partial correlations 部分相关与偏相关系数Part correlation 部分相关系数Partial 部分，偏Partial correlation 偏相关系数Paste 粘贴PC (=personal computer) 个人电脑Pct (=Percent) 百分比Pearson 皮尔逊Pearson Chi-Square 皮尔逊卡方值Pearson Correlation 皮尔逊相关系数Percentage 百分比Percentage Above 大于设定值的个案的百分比Percentage Below 小于设定值的个案的百分比Percentages 按百分比作图Percentages Based on 百分比基于……Percentile 百分位数Percentile Values 百分位数选项栏Percents and totals based on respondents 百分比与总数基于回答者人数Personal 个人的-->个人安装Personal or Shared Installation 个人或共享安装Phi and Cramér's V 列联相关的V系数Pie chart 圆饼图，圆形图Pivot 支点，枢轴，在枢轴上的旋转运动-->表格转置（行列互换）Plot 绘图，图形Point 点Poisson 泊桑-->泊桑分布Positive 正Positive Difference 正差Positive Rank 正秩Post Hoc 发生于其后者-->确定均值有差别后的多重比较Predict 预测Predicted 预测的Predicted Values 预测值Prediction Intervals 预测区间Predictor 预测变量Preview 预览Print 打印Print Preview 打印预览Probability 概率Process 处理Processor 处理器Produce 产生，生成Provide 提供pt.(=point) 点-->象素点QQuartile 四分位数RR squared change R2 变化Random 随机的Random Number 随机数Random Number Seed 随机数初始值Random sample of cases 随机选择个案样本Range 范围，全距，极差Range of Grouping Variable 分组变量值的范围Range of missing values 缺失值范围Rank 秩Rank Assigned to Ties 对同值的秩的分配方法选项Rank Cases 对个案排秩Rank Types 秩变量类型Ratio 比率Read 读Read File 读取文件Read Text Data 读入文本格式的数据ReadMe 软件说明文件Ready 准备好了Ready to Install Files 准备安装界面Recent 最近Recently Used Data 最近用过的数据（文件）Recently Used Files 最近用过的文件Recode 重新编码Redo 恢复-->恢复上一步被撤销的操作Reference 参考，参照Reference Line 参照线Refresh 刷新Regression 回归Regression Standardized Residual 回归分析的标准化残差Remote 远程Remote server 远程服务器Removal 剔除Remove 取消-->删除Rename 重命名Replace 替换Replace Missing Values 替换缺失值Replace with mean 用平均值代替（缺失值）Replace working data file 替代当前的数据文件Report 报告Represent 代表Request 要求Reset 重设Residual 残余的，残余物-->残差Residual Statistics 残差统计表Response 回答Right 右-->居右，右对齐Right/top 右上Row 行-->单元格中个案数占行总数的百分比Row Order 行序（行的排列顺序）Run 执行Run Pending Transforms 运行等待中的转换Runs 游程Runs Test 游程检验SS.E. mean 均值的标准误S.E. of mean predictions 对均值标准误的预测Sample 样本Sample size 样本大小Satisfy 满足Save 保存Save As 另存为Save number of case in break group as variable 存储各分组变量的个案数Save standardized values as variables 将标准分存为新变量Save to New File 存为新文档Scale 尺度-->定距/定比变量Scatter 驱散-->散点Scatterplot 散点图Scientific 科学的Scientific Notation 科学计数法Script 程序Seed 种子-->初始值Select 选择Selected Label 选定的标签Selection Variable 选择变量Sequential 序列的Sequential ranks to unique values 相同值的秩次取第一个出现的秩次值Serial 系列的Serial Number 系列号Series 系列Series Displayed as 图形转换选项Server 服务器Set 集，集合Set Definition 多选变量集的定义Set Markers by 以……为标志Setting 设置Setup 安装Setup Complete 完成安装界面Setup Type 安装类型Shade 阴影Shading 阴影设置Share 共享Show 显示Sig. (=significance) 显著性，显著性水平Sign 符号-->符号检验法Significance level 显著性水平Simple 简单的-->简单条形图，单线图，简单散点图Skewness 偏度，偏度系数Slice 片，块-->扇形块Smallest value 最小值Social Science 社会科学Software 软件Software License Agreement 软件授权使用协议Somers' d Somers 等级相关d 系数Sort 分类，排序Sort Cases 对个案进行归类、排序Sort order 排序规则Sort the grouping variables 按分组变量对数据文件进行排序Source 来源Specific 专门的，特定的Specific Values 专门值Specification 规定，规格Split 分割Split Files 分割文件SPSS (Statistical Package for Social Sciences) 社会科学统计软件包SPSS Data Editor 数据窗口编辑界面SPSS/PC(for DOS) DOS 版个人电脑用SPSSStacked 分段条的-->分段条形图Standard deviation 标准差Standard Error of the Estimate 估计值的标准误Standardized 标准化的-->标准化残差Standardized Coefficient 标准化(回归)系数Standardized Residual Plots 标准化残差图Standardized value 标准分Statistic 统计量Statistical 统计的Statistics 统计学，统计量(复数)Statistics for First Layer 第一层分组的统计量Status 状态Std. Error Difference 标准误之差Std.(=Standard) Deviation 标准差Step 步Stepping 分步引入或剔除变量Stepping Method Criteria 变量引入模型或从模型中剔除的判断标准Stepwise 逐步-->逐步进入法Stop 停止，中断String 字符串-->字符型变量Studentized 将残差学生化Studentized deleted 将残差学生化并删除Style 风格，形式-->线型Subtitle 副标题Sum 总和Sum of Ranks 秩和Sum of Squares 总平方和Sum of Squares and Cross-products 离差平方和与叉积和Sum of Values 变量值的和Summaries for groups of cases 个案组概要（变量值模式）Summaries of separate variables 不同变量的概要（变量模式）Summary 概要-->统计概要Summary Function for Selected Va r i abl e s 选定变量的概要函数Suppress 压制，禁止Suppress table 隐藏表格Suppress tables with more than N categories 分组数大于N时禁止频数表在结果中输出Switch 切换Syntax 语句-->语句文件System 系统System-missing 系统缺失值System-or User-missing 系统或用户缺失值Tt t 统计量T test T 检验Table 表格Tables for 为（某变量）列表-->多选变量分析中要分析的变量Tail 尾Template 模板Tendency 趋势Test 检验Test distribution is Normal 待检分布为正态分布Test for linearity 检验线性相关Test Homogeneity of Variances 方差齐次性检验Test of Significance 显著性检验Test Pair List 待检变量对列表Test Prop.(=proportion) 待检比例Test Proportion 待检概率Test Type 检验类型，检验方法Test Value 待检值Test Variable 分析变量，待检变量Test Variable List 待检变量列表Tests for Several Independent Samples 多个独立样本检验Tick 标记Tick mark 标记Tick marks 用点作刻度标志Tick marks for skipped labels 给被越过的标签作标记Tie 同值-->相等的秩，无差（相等）Time 时间-->时间型变量Time Series 时间系列Title 标题Title Justification 标题对齐方式，标题位置Top 顶部-->上边框Total 总数-->单元格中个案数占个案总数的百分比Transform 转换-->数据转换Transpose 转置Transpose Rows and Columns 行列互换Transposition 转置（名）t-test for Equality of Means 均值相等的t 检验Tutorial 辅导-->使用辅导Two Independent Samples 两个独立样本的检验Two-Related-Samples Tests 两个相关样本检验Two-tailed 双尾的-->双尾检验Type 类型-->变量类型Typical 典型安装UUncertainty 不确定性Uncertainty coefficient 不定系数Undo 撤销-->撤销上一步操作Uniform 均匀的-->均匀分布Unique 唯一的Unpaired 不匹配Unpaired variable 不匹配变量Unselected 未被选择的Unselected Case Are 未被选中的个案的处理方法选项Unstandardized 非标准化的-->非标准化残差Unstandardized Coefficient 非标准化(回归)系数Untransposed 未被转置的Unweighted 不加权的-->不加权的个案数Unweighted missing 不加权的缺失值数Upper 上限Upper Bound 上限Use chart specifications from 用……的图形规格Use F value 以F值为标准Use filter variable 使用过滤变量Use probability of F 以F的概率为标准Use specified range 使用特定的范围Use specified values 使用给定的变量值User 用户User Information 用户信息界面Utilities 实用程序Utility 利用，用途VValid 有效的Valid Cases 有效个案Valid Percent 有效百分比Va lue 值Value label 变量值标签Va lue s 变量值标签Values are group midpoints 取值为各组中点Values are grouped midpoints 变量值为各组中点Values of individual cases 个案值（观测值模式）Va r i abl e 变量Variable label 变量名标签Variable list 变量列表，按变量顺序列表Variable Name and Label 变量名称与标签Variable View 变量(编辑)窗口Variables Are Coded As 变量编码方式Variables Entered/Removed 引入或剔除的变量Variables in Set （多选变量）集中的变量Variance 方差Vertical 垂直的，纵向的Vertical Alignment 纵向对齐方式View 观看-->窗口外观控制Viewer 浏览器WWeigh Cases 给变量加权Weight 重量，轻重-->线的粗细Weight Estimation 权重估计Weighted 加权的-->加权的个案数Weighted missing 加权的缺失值数Welch Welch 检验Welcome 欢迎(界面)Width 宽度Wilcoxon Wilcoxon 检验(用符号秩检验)Wilcoxon Signed Rank Test Wilcoxon符号秩检验Wilcoxon W 威尔科克松W 检验Window 窗口-->窗口控制Windows 视窗With normal curve 加上正态曲线Within Groups 组内值Working 当前正在用的Working Data keyed table 当前数据文件为关键表Working Date File 当前数据文件XX Axis X 轴X through highest 从X到最大值X through Y 从X到YYY Axis Y轴Yes 是ZZ Z 检验值Z Approximation Z 近似估计(整理自网络)。

SPSS术语中英文对照

Absolute deviation, 绝对离差Absolute number, 绝对数Absolute residuals, 绝对残差Acceleration array, 加速度立体阵Acceleration in an arbitrary direction, 任意方向上的加速度Acceleration normal, 法向加速度Acceleration space dimension, 加速度空间的维数Acceleration tangential, 切向加速度Acceleration vector, 加速度向量Acceptable hypothesis, 可接受假设Accumulation, 累积Accuracy, 准确度Actual frequency, 实际频数Adaptive estimator, 自适应估计量Addition, 相加Addition theorem, 加法定理Additivity, 可加性Adjusted rate, 调整率Adjusted value, 校正值Admissible error, 容许误差Aggregation, 聚集性Alternative hypothesis, 备择假设Among groups, 组间Amounts, 总量Analysis of correlation, 相关分析Analysis of covariance, 协方差分析Analysis of regression, 回归分析Analysis of time series, 时间序列分析Analysis of variance, 方差分析Angular transformation, 角转换ANOV A （analysis of variance）, 方差分析ANOV A Models, 方差分析模型Arcing, 弧/弧旋Arcsine transformation, 反正弦变换Area under the curve, 曲线面积AREG , 评估从一个时间点到下一个时间点回归相关时的误差ARIMA, 季节和非季节性单变量模型的极大似然估计Arithmetic grid paper, 算术格纸Arithmetic mean, 算术平均数Arrhenius relation, 艾恩尼斯关系Assessing fit, 拟合的评估Associative laws, 结合律Asymmetric distribution, 非对称分布Asymptotic bias, 渐近偏倚Asymptotic efficiency, 渐近效率Asymptotic variance, 渐近方差Attributable risk, 归因危险度Attribute data, 属性资料Attribution, 属性Autocorrelation, 自相关Autocorrelation of residuals, 残差的自相关Average, 平均数Average confidence interval length, 平均置信区间长度Average growth rate, 平均增长率Bar chart, 条形图Bar graph, 条形图Base period, 基期Bayes' theorem , Bayes定理Bell-shaped curve, 钟形曲线Bernoulli distribution, 伯努力分布Best-trim estimator, 最好切尾估计量Bias, 偏性Binary logistic regression, 二元逻辑斯蒂回归Binomial distribution, 二项分布Bisquare, 双平方Bivariate Correlate, 二变量相关Bivariate normal distribution, 双变量正态分布Bivariate normal population, 双变量正态总体Biweight interval, 双权区间Biweight M-estimator, 双权M估计量Block, 区组/配伍组BMDP(Biomedical computer programs), BMDP统计软件包Boxplots, 箱线图/箱尾图Breakdown bound, 崩溃界/崩溃点Canonical correlation, 典型相关Caption, 纵标目Case-control study, 病例对照研究Categorical variable, 分类变量Catenary, 悬链线Cauchy distribution, 柯西分布Cause-and-effect relationship, 因果关系Cell, 单元Censoring, 终检Center of symmetry, 对称中心Centering and scaling, 中心化和定标Central tendency, 集中趋势Central value, 中心值CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测Chance, 机遇Chance error, 随机误差Chance variable, 随机变量Characteristic equation, 特征方程Characteristic root, 特征根Characteristic vector, 特征向量Chebshev criterion of fit, 拟合的切比雪夫准则Chernoff faces, 切尔诺夫脸谱图Chi-square test, 卡方检验/χ2检验Choleskey decomposition, 乔洛斯基分解Circle chart, 圆图Class interval, 组距Class mid-value, 组中值Class upper limit, 组上限Classified variable, 分类变量Cluster analysis, 聚类分析Cluster sampling, 整群抽样Code, 代码Coded data, 编码数据Coding, 编码Coefficient of contingency, 列联系数Coefficient of determination, 决定系数。

SPSS统计分析最全中英文对照表

S P S S统计分析最全中英文对照表------------------------------------------作者xxxx------------------------------------------日期xxxxSPSS 专业技术词汇、短语的中英文对照索引% of cases 各类别所占百分比1-tailed 单尾的2 Independent Samples 两个独立样本的检验2 Related Samples 两个相关样本检验2-tailed 双尾的3-D (=dimensional) 三维-->三维散点图AAbove 高于Absolute 绝对的-->绝对值Add 加，添加Add Cases 合并个案Add cases from... 从……加个案Add Variables 合并变量Add variables from... 从……加变量Adj.(=adjusted) standardized 调整后的标准化残差Aggregate 汇总-->分类汇总Aggregate Data 对数据进行分类汇总Aggregate Function 汇总函数Aggregate Variable 需要分类汇总的变量Agreement 协议Align 对齐-->对齐方式Alignment 对齐-->对齐方式All 全部，所有的All cases 所有个案All categories equal 所有类别相等All other values 所有其他值All requested variables entered 所要求变量全部引入Alphabetic 按字母顺序的-->按字母顺序列表Alternative 另外的，备选的Analysis by groups is off 分组分析未开启Analyze 分析-->统计分析Analyze all cases, do not create groups 分析全部个案，不建立分组Annotation 注释ANOVA Table ANOVA表ANOVA table and eta (对分组变量)进行单因素方差分析并计算其η值Apply 应用Apply Data Dictionary 应用数据字典Apply Dictionary 应用数据字典Approximately 大约Approximately X% of all cases 从所有个案中随机选择约 X%的个案Approximation 近似估计Area 面积Ascend 上升Ascending counts 按频数的升序排列Ascending means 按均值升值排序Ascending values 按变量值的升序排列Assign 指定，分配Assign Rank 1 to 把秩值 1 分配给Assume 假定Asymp. Sig.(=Asymptotic Significance) (2-sided) 双尾渐近显著性检验Automatic 自动的Automatic Recode 自动重新编码Axis 轴Axis Title 横轴名称BBack 返回-->上一步Backward 向后-->向后剔除法Bar chart 条形图Bar Spacing 条形间距Bars Represent 条的长度所代表的统计量Based on negative ranks 基于负秩Based on time or case range 在给定范围内随机选择个案Below 低于Between Groups (Combined) 组间值Binomial 二项分布Bivariate 双变量的-->双变量相关分析Bivariate Correlations 双变量相关分析Both files provide cases 是由外部文件和当前文件二者都提供个案Bottom 底部-->下边框Break Variable 分类变量Brown-Forsythe Brown-Forsythe检验Browse 浏览CCache 贮存Cache Data 数据暂存Calculated from data 根据数据计算Cancel 取消Case 个案Case Label 个案标签Case Processing Summary 个案处理概要Casewise 以个案为单位Casewise diagnostics 个案诊断表Categories 分组数，分类变量，分类模式Categorize Variables 变量分类Category 类别-->单元格数据类型Category Axis 分类轴Cell 单元格Cell Display 单元格显示Cell Percentages 在每个单元格中输出百分比Cell Properties 单元格属性Cell Statistics 单元格中的统计量Center 中心-->居中，中间对齐Central Tendency 集中趋势Change 变化，更改Change Summary 改变汇总函数Chart 图表，图形Chart Type 统计图类型Chart values 作图数据选项Charts 确定生成的图形选项Chi-square test 卡方检验Chi-square（χ2）卡方Choose 选择Choose Destination Location 选择安装路径Classify 分类Clear 清除Close 关闭Cluster 群，组，分组Clustered 分组的-->分组条形图Clustered bar charts 分组条形图Cochran's and Mantel-Haenszel statistics ：Cochran 统计量与 Mantel-Haenszel 统计量Cochran's Q Cochran Q 检验Code 编码Coefficient 系数Coefficient statistics 系数统计Collinearity 共线性Collinearity diagnostics 共线性诊断Column 列-->单元格中个案数占列总数的百分比Columns 列数-->显示宽度Comma 逗号-->带逗号的数值型变量Common 共同的Compact 最低要求安装Compare 比较，对比Compare groups 分组对比Compare Means 比较平均数Compare variables 比较变量Complete 完成Compute 计算Concordance 和谐Condition 条件Confidence Interval 置信区间Contingency coefficient 列联相关的 C 系数Continue 继续Contrast 对比Control 控制Convert 转换Convert numeric strings to numbers 将数值型字符转换为数字Copy 拷贝Copy Objects 拷贝对象Copy old value 拷贝旧变量Correlate 与……相关-->作相关分析Correlation 相关，关联Correlation Coefficient 相关系数Correlations 皮尔逊（Pearson）相关系数Count 个案数，次数，频数Counted value 用于计数的值Covariance 协方差Covariance Matrix 协方差矩阵Covariance ratio 协方差比率Creat new data file 创建新的数据文件Create Time Series 生成时间序列Criteria 标准（复数）Criterion 标准（单数）Cross-product 叉积Cross-product deviation 叉积离差Cross-product deviations and covariances 叉积离差与协方差Crosstab (=Cross-tabulation) 交叉列表Crosstabs 交叉列表（列联表）分析Cum.(=Cumulative) % of cases 累积百分比Cum.(=Cumulative) N of cases 累积频数Cumulative Percent 累计百分比Cumulative Sum 累积和Currency 货币-->货币型变量Current 目前的Current Selections 当前选择Current Settings 目前设置Current Status 目前状态Curve 曲线Curve Estimation 曲线估算Custom 自定义安装Custom Currency 自定义货币记法Cut 剪切Cut point 切分点Cut points for N equal groups 将数据分为N个个案数相同的组的切分点DData 数据-->数据文件的建立与编辑Data in Chart Are 图中数据为（用于统计量模式的选项）Data View 数据(编辑)窗口Database 数据库，数据文件Date 日期-->日期型变量Decimal 小数-->按小数点对齐Decimals 小数位数Define 定义Define Clusters by 以……定义分组（确定分组变量）Define Dates 定义日期Define Dichotomy 确定二分值Define Groups 确定分组Define Ranges 定义范围Define Sets 定义多选变量集Define Simple Bar 定义简单条形图Define Slices by 以……定义扇形块（确定分块变量）Define Variable Ranges 定义变量范围Degree 度，程度Degrees of freedom 自由度Delete 删除Deleted 删除掉-->删除未选个案，将残差删除Dependent 非独立的，依赖的-->因变量Dependent List 因变量/分析变量列表Derive 推导Derived 推导出的Derived axis 转换轴Descend 下降Descending counts 按频数的降序排列Descending means 按均值的降序列表Descending values 按变量值的降序排列Descriptive 描述性的Descriptive Statistics 描述统计Descriptives 描述统计Destination 目标Deviation 偏差，离差df (=degrees of freedom) 自由度Diagnostics 诊断Dialog 对话（框）Dichotomies 二分变量，二分模式Dichotomy 二分法，二分值，二分变量Dictionary 字典Directory 目录Discrete 离散的Discrete missing values 离散缺失值Dispersion 离散趋势Display 显示Display axis line 显示轴线Display chart with case labels 在图中显示个案标签Display clustered bar charts 显示聚类条图Display Data Info 显示数据的基本信息Display derived axis 显示转换轴Display frequencies tables （在输出结果中）显示频数表Display groups defined by missing values 对由缺失值定义的组也加以显示Display labels 显示标签Display legend 显示图例Display normal curve 显示正态曲线Display order 输出结果列表顺序Display summary tables 显示提要表Display the ReadMe file now? 是否现在显示软件说明文件Distribution 分布Division 分，除法Do not filter cases 不过滤个案Dollar 元，美元-->带美元符号的数值型变量Dot 圆点，句号-->带圆点的数值型变量Draft output 文本输出文件Drop-line 垂线图Durbin-Watson 系列相关检验，Durbin-Watson 系数EEdit 编辑-->文件编辑Enter 进入-->强行进入法Entry 进入Equal 等于Equal Variances Assumed 等方差假定Equal Variances Not Assumed 不假定等方差Equality 相等Estimate 估计-->估计值Eta η系数（用于测量一个定类变量与一个定比/定距变量之间的相关比率）Eta Squared η2Every 每一个Every N labels 每 N个标签Exactly 精确地Exactly M cases from the first N cases 在前N个个案中随机选择M个个案Exclude 排除，拒绝Exclude cases analysis by analysis 剔除分析变量为缺失值的个案Exclude cases listwise 剔除任何含有缺失值的个案Exclude cases listwise within categories 排除分类变量中的缺失值Exclude cases listwise within dichotomies 排除二分变量中的缺失值Exclude cases pairwise 剔除参与相关系数计算的两个变量中有缺失值的个案Exclude cases test-by-test 排除对比中的缺失值Excluded Variables 被拒绝变量Existing 现有的Exit 退出Expect 期望Expected 期望的-->期望频次Expected Range 理论分布范围Expected Value 期望值，理论值Exponential 指数的-->指数分布Export model information to XML file 将模型的信息输出到 XML 文件External file is keyed table 外部文件为关键表Extreme 极端FF F检验的值Factor 因素，因子-->影响因素变量File 文件-->文件操作File is already sorted 数据文件已排序Filter 过滤-->过滤变量Filter variable 过滤变量Filtered 过滤掉的-->生成过滤变量Find 查找Finish 完成First Case 第一个个案（最小值）First value 第一个观测值Fixed and random effects 确定性影响因素和随机影响因素Flag 旗帜，标记；做标记Flag significant correlations 标出达到显著性水平的相关系数Font 字体Footnote 脚注Format 格式Fraction 比率Frame 框，框架Freedom 自由Frequencies 频数分析，按频数作图Frequency 频率，频数Friedman Friedman检验Function 函数GGallery 美术馆-->图形转换功能Gamma γ等级相关系数General 一般General Linear Model 一般线性模型Get from data 由样本观测值确定Go to Case 查找个案Graph 图形Graphs 统计图Grid 网格Grid line 格线Grid lines 用竖线作刻度标志Group 群，组，分组Group Based on 根据……分组Group Statistics 分组统计分析Grouped Median 分组中位值Grouping Variable 分组变量HHelp 帮助Hidden 隐藏High 最大值Histogram 直方图Homogeneity 同质性-->齐次性Homogeneity of variance 方差齐次性Homogeneity-of-variance 方差齐次性检验Horizontal 水平的，横向的Horizontal Alignment 横向对齐方式Hypothesis 假设IIf condition is satisfied 如果满足一定条件Include 包含，包括Include constant in equation 在方程中包含常数项Increment 增量Independent 独立的-->自变量Independent List 自变量/分组变量列表Independent-Samples T Test 独立样本的 T 检验Independent-Samples Test 独立样本检验Indicate 指明，标明Indicate case source as variable 生成一个表明个案来源的变量Individual 单个，个体Influence 影响Influence Statistics 影响因素统计量Info (=Information) 信息Information 信息Inner 里面的Inner Frame 内框-->给图形增加内框Input Variable 输入变量Insert 插入Inside 在（某范围）之内Install (动) 安装Installation (名) 安装Into Different Variables 用重新编码的变量生成一个新变量Into Same Variables 用重新编码的变量取代原变量JJustification 对齐方式KK Independent Samples K个独立样本检验Kappa κ系数Kendall's Coefficient of Concordance 肯德尔和谐系数Kendall's tau-b 肯得尔等级相关τ-b 系数Kendall's tau-c 肯得尔等级相关τ-c 系数Kendall's W Kendall W 检验Key 关键的Key Variables 关键变量Kolmogorov-Smirnov Z 柯尔莫哥洛夫-斯米诺夫 Z 检验Kruskal-Wallis H Kruskal-Wallis H检验（用秩的平方和检验）Kurtosis 峰度，峰度系数LLabel 标签-->变量名标签Label Cases by 以……为个案标签Label Text 标签文字Lambda λ系数Largest value 最大值Last Case 最后一个个案（最大值）Last value 最后一个观测值Launch 开始Launch tutorial now? 现在开始看使用辅导Layer 层-->层变量Left 左-->居左，左对齐Left/bottom 左下Legend 图例Legend Title 图例标题Less 较少，较小Less than 小于Levene StatisticLevene’s Test fo r Equality of Variances 方差齐性检验License 许可，授权Likelihood 似然性Likelihood Ratio 似然比卡方Line 行，线-->线形图Line Represents 单线条所代表的统计量Line Style 线型Linear 线性Linear model 线性模型Linear Regression 线性回归分析，线性回归模型Lines Represent 多线条所代表的统计量List 列表Listwise 整个数据表Location 位置Log 对数-->对数尺度Lose 丢失Lost 丢失掉Low 最小值Lower 下限Lower Bound 下限Lowest through X 从最小值到 XLSD (=Least-significance difference) 能达到显著性水平的最小差异MMajor 主要的Major Divisions 大分度Mann-Whitney U 曼-维特尼 U检验（用秩和检验的方法进行）Margin 边距Margins 边距设置Marker 标记，标志Match 匹配Match cases on key variables in sorted files 按排序的关键变量匹配个案Match variables across response sets 输出与多选变量进行交叉分析的匹配变量的选择数和以选择总数为基础计算的边缘频率分布Matrix 矩阵-->矩阵散点图Maximum 最小值McNemar 麦克讷马Mean 均值Mean Difference 均值差Mean of Values 变量值的平均数Mean Rank 平均秩和Mean Square 平均平方和Means 平均数分析Means and standard deviations 均值与标准差Means plot 均值分布图Measure 测量-->测量层次Measurement level 测量层次Measures of AssociationMedian 中位数-->中位数检验法Median of Values 变量值的中位数Merge 合并Merge Files 合并(数据)文件Method 方法Minimum 最大值Minor 次要的Minor Divisions 小分度Missing 缺失，变量的缺失值Missing value 缺失值Missing Value Analysis 缺失值分析Mix 混合Mixed 混合的-->混合对齐Mode 众数Mode of Values 变量值的众数Model 模型Model fit 模型配置Model Summary 模型概要More 更多（选项）Moses 莫西Moses extreme reactions 莫西极值反应Most Extreme 最极值Mult (=Multiple) Response Sets 多选变量集Multiple 多个-->多线图Multiple Response 多选变量分析Multiple Variables 多变量选项NN (=Number) 个案数N of cases 各类别的频数Name 名称-->变量名Name & Label 名称与标签Name Variable 名称变量Negative 负Negative Difference 负差Negative Rank 负秩Network 网络New 新的-->新建(各种文件)New Value 新值New Working Data File 新的当前数据文件Next 下一个-->下一步No 否，无No missing values 无缺失值Nominal 定类变量Nominal by Interval 定类变量与定距变量间的相关系数None 无Nonlinear 非线性的-->非线性模型Nonparametric 非参数的Nonparametric Tests 非参数检验Normal 正态的-->正态分布Normal curve 正态曲线Normal probability plot 残差的正态概率图Notation 记号，记法Note 便条Notes 说明文字Number 数字，编号-->数字型变量Number Above 大于设定值的个案数Number Below 小于设定值的个案数Number of Cases 个案数目，频数Number of Runs 游程数Numeric 数值的-->标准数值型变量OObject 对象Observation 观察，观测-->样本观测值Observed 观测到的-->观测到的频次Observed Prop. (=proportion) 观察到的比例Odds 几率Off 关闭，未开启Offset from 距离OK 行了-->执行Old and New Values 新旧变量值的转换Old Value 旧值Omit 省略，略去On 开启One Sample T Test 单样本 T 检验One-sample K-S(Kolmogorov-Smirnov) test 单样柯尔莫哥洛夫-斯米诺夫检验One-Sample Statistics 单样本统计量One-Sample Test 单样本检验One-tailed 单尾的-->单尾检验One-Way ANOVA 简单方差分析Open 打开Open an existing data source 打开现存的数据文件Open another type of file 打开另一种类型的数据文件Open File 打开文档Option 选择，先项Options 先项Order 顺序Order by 排序选项Ordinal 定序变量Organization 组织Organize 组织（动）Organize output by groups 按分组变量组织输出Organize output by variables 各变量单独输出Orientation 定向Other summary function 其它汇总函数Outer 外面的Outer Frame 外框-->给图形增加外框Outlier 远离中心者-->远离均值的值Outliers outside X standard deviations 离均值 X个标准差之外的值Output 输出-->输出文件Output file specification 规定输出文件Output Variable 输出变量Output variables are strings 输出变量是字符型变量Outside 在（某范围）之外Overlay 重叠-->重叠散点图PPackage 包Pair 对，一对Paired 已配对的Paired Sample Correlations 配对样本相关系数Paired Sample Statistics 配对样本统计分析Paired Sample Test 配对样本检验Paired Variables 已配对样本Paired-Samples T Test 配对样本的 t 检验Pairwise 成对地Parameter 参数Parametric 参数的Part and partial correlations 部分相关与偏相关系数Part correlation 部分相关系数Partial 部分，偏Partial correlation 偏相关系数Paste 粘贴PC (=personal computer) 个人电脑Pct (=Percent) 百分比Pearson 皮尔逊Pearson Chi-Square 皮尔逊卡方值Pearson Correlation 皮尔逊相关系数Percentage 百分比Percentage Above 大于设定值的个案的百分比Percentage Below 小于设定值的个案的百分比Percentages 按百分比作图Percentages Based on 百分比基于……Percentile 百分位数Percentile Values 百分位数选项栏Percents and totals based on respondents 百分比与总数基于回答者人数Personal 个人的-->个人安装Personal or Shared Installation 个人或共享安装Phi and Cramér's V 列联相关的 V系数Pie chart 圆饼图，圆形图Pivot 支点，枢轴，在枢轴上的旋转运动-->表格转置（行列互换）Plot 绘图，图形Point 点Poisson 泊桑-->泊桑分布Positive 正Positive Difference 正差Positive Rank 正秩Post Hoc 发生于其后者-->确定均值有差别后的多重比较Predict 预测Predicted 预测的Predicted Values 预测值Prediction Intervals 预测区间Predictor 预测变量Preview 预览Print 打印Print Preview 打印预览Probability 概率Process 处理Processor 处理器Produce 产生，生成Provide 提供pt.(=point) 点-->象素点QQuartile 四分位数RR squared change R2 变化Random 随机的Random Number 随机数Random Number Seed 随机数初始值Random sample of cases 随机选择个案样本Range 范围，全距，极差Range of Grouping Variable 分组变量值的范围Range of missing values 缺失值范围Rank 秩Rank Assigned to Ties 对同值的秩的分配方法选项Rank Cases 对个案排秩Rank Types 秩变量类型Ratio 比率Read 读Read File 读取文件Read Text Data 读入文本格式的数据ReadMe 软件说明文件Ready 准备好了Ready to Install Files 准备安装界面Recent 最近Recently Used Data 最近用过的数据（文件）Recently Used Files 最近用过的文件Recode 重新编码Redo 恢复-->恢复上一步被撤销的操作Reference 参考，参照Reference Line 参照线Refresh 刷新Regression 回归Regression Standardized Residual 回归分析的标准化残差Remote 远程Remote server 远程服务器Removal 剔除Remove 取消-->删除Rename 重命名Replace 替换Replace Missing Values 替换缺失值Replace with mean 用平均值代替（缺失值）Replace working data file 替代当前的数据文件Report 报告Represent 代表Request 要求Reset 重设Residual 残余的，残余物-->残差Residual Statistics 残差统计表Response 回答Right 右-->居右，右对齐Right/top 右上Row 行-->单元格中个案数占行总数的百分比Row Order 行序（行的排列顺序）Run 执行Run Pending Transforms 运行等待中的转换Runs 游程Runs Test 游程检验SS.E. mean 均值的标准误S.E. of mean predictions 对均值标准误的预测Sample 样本Sample size 样本大小Satisfy 满足Save 保存Save As 另存为Save number of case in break group as variable 存储各分组变量的个案数Save standardized values as variables 将标准分存为新变量Save to New File 存为新文档Scale 尺度-->定距/定比变量Scatter 驱散-->散点Scatterplot 散点图Scientific 科学的Scientific Notation 科学计数法Script 程序Seed 种子-->初始值Select 选择Selected Label 选定的标签Selection Variable 选择变量Sequential 序列的Sequential ranks to unique values 相同值的秩次取第一个出现的秩次值Serial 系列的Serial Number 系列号Series 系列Series Displayed as 图形转换选项Server 服务器Set 集，集合Set Definition 多选变量集的定义Set Markers by 以……为标志Setting 设置Setup 安装Setup Complete 完成安装界面Setup Type 安装类型Shade 阴影Shading 阴影设置Share 共享Show 显示Sig. (=significance) 显著性，显著性水平Sign 符号-->符号检验法Significance level 显著性水平Simple 简单的-->简单条形图，单线图，简单散点图Skewness 偏度，偏度系数Slice 片，块-->扇形块Smallest value 最小值Social Science 社会科学Software 软件Software License Agreement 软件授权使用协议Somers' d Somers 等级相关 d 系数Sort 分类，排序Sort Cases 对个案进行归类、排序Sort order 排序规则Sort the file by grouping variables 按分组变量对数据文件进行排序Source 来源Specific 专门的，特定的Specific Values 专门值Specification 规定，规格Split 分割Split Files 分割文件SPSS (Statistical Package for Social Sciences) 社会科学统计软件包SPSS Data Editor 数据窗口编辑界面SPSS/PC(for DOS) DOS 版个人电脑用 SPSSStacked 分段条的-->分段条形图Standard deviation 标准差Standard Error of the Estimate 估计值的标准误Standardized 标准化的-->标准化残差Standardized Coefficient 标准化(回归)系数Standardized Residual Plots 标准化残差图Standardized value 标准分Statistic 统计量Statistical 统计的Statistics 统计学，统计量(复数)Statistics for First Layer 第一层分组的统计量Status 状态Std. Error Difference 标准误之差Std.(=Standard) Deviation 标准差Step 步Stepping 分步引入或剔除变量Stepping Method Criteria 变量引入模型或从模型中剔除的判断标准Stepwise 逐步-->逐步进入法Stop 停止，中断String 字符串-->字符型变量Studentized 将残差学生化Studentized deleted 将残差学生化并删除Style 风格，形式-->线型Subtitle 副标题Sum 总和Sum of Ranks 秩和Sum of Squares 总平方和Sum of Squares and Cross-products 离差平方和与叉积和Sum of Values 变量值的和Summaries for groups of cases 个案组概要（变量值模式）Summaries of separate variables 不同变量的概要（变量模式）Summary 概要-->统计概要Summary Function for Selected Va r i abl e s 选定变量的概要函数Suppress 压制，禁止Suppress table 隐藏表格Suppress tables with more than N categories 分组数大于N时禁止频数表在结果中输出Switch 切换Syntax 语句-->语句文件System 系统System-missing 系统缺失值System-or User-missing 系统或用户缺失值Tt t 统计量T test T 检验Table 表格Tables for 为（某变量）列表-->多选变量分析中要分析的变量Tail 尾Template 模板Tendency 趋势Test 检验Test distribution is Normal 待检分布为正态分布Test for linearity 检验线性相关Test Homogeneity of Variances 方差齐次性检验Test of Significance 显著性检验Test Pair List 待检变量对列表Test Prop.(=proportion) 待检比例Test Proportion 待检概率Test Type 检验类型，检验方法Test Value 待检值Test Variable 分析变量，待检变量Test Variable List 待检变量列表Tests for Several Independent Samples 多个独立样本检验Tick 标记Tick mark 标记Tick marks 用点作刻度标志Tick marks for skipped labels 给被越过的标签作标记Tie 同值-->相等的秩，无差（相等）Time 时间-->时间型变量Time Series 时间系列Title 标题Title Justification 标题对齐方式，标题位置Top 顶部-->上边框Total 总数-->单元格中个案数占个案总数的百分比Transform 转换-->数据转换Transpose 转置Transpose Rows and Columns 行列互换Transposition 转置（名）t-test for Equality of Means 均值相等的 t 检验Tutorial 辅导-->使用辅导Two Independent Samples 两个独立样本的检验Two-Related-Samples Tests 两个相关样本检验Two-tailed 双尾的-->双尾检验Type 类型-->变量类型Typical 典型安装UUncertainty 不确定性Uncertainty coefficient 不定系数Undo 撤销-->撤销上一步操作Uniform 均匀的-->均匀分布Unique 唯一的Unpaired 不匹配Unpaired variable 不匹配变量Unselected 未被选择的Unselected Case Are 未被选中的个案的处理方法选项Unstandardized 非标准化的-->非标准化残差Unstandardized Coefficient 非标准化(回归)系数Untransposed 未被转置的Unweighted 不加权的-->不加权的个案数Unweighted missing 不加权的缺失值数Upper 上限Upper Bound 上限Use chart specifications from 用……的图形规格Use F value 以 F值为标准Use filter variable 使用过滤变量Use probability of F 以 F的概率为标准Use specified range 使用特定的范围Use specified values 使用给定的变量值User 用户User Information 用户信息界面Utilities 实用程序Utility 利用，用途VValid 有效的Valid Cases 有效个案Valid Percent 有效百分比Va lue 值Value label 变量值标签Va lue s 变量值标签Values are group midpoints 取值为各组中点Values are grouped midpoints 变量值为各组中点Values of individual cases 个案值（观测值模式）Va r i abl e 变量Variable label 变量名标签Variable list 变量列表，按变量顺序列表Variable Name and Label 变量名称与标签Variable View 变量(编辑)窗口Variables Are Coded As 变量编码方式Variables Entered/Removed 引入或剔除的变量Variables in Set （多选变量）集中的变量Variance 方差Vertical 垂直的，纵向的Vertical Alignment 纵向对齐方式View 观看-->窗口外观控制Viewer 浏览器WWeigh Cases 给变量加权Weight 重量，轻重-->线的粗细Weight Estimation 权重估计Weighted 加权的-->加权的个案数Weighted missing 加权的缺失值数Welch Welch 检验Welcome 欢迎(界面)Width 宽度Wilcoxon Wilcoxon 检验(用符号秩检验)Wilcoxon Signed Rank Test Wilcoxon符号秩检验Wilcoxon W 威尔科克松 W 检验Window 窗口-->窗口控制Windows 视窗With normal curve 加上正态曲线Within Groups 组内值Working 当前正在用的Working Data File is keyed table 当前数据文件为关键表Working Date File 当前数据文件XX Axis X 轴X through highest 从 X到最大值X through Y 从 X到 YYY Axis Y轴Yes 是ZZ Z 检验值Z Approximation Z 近似估计(整理自网络)。

SPSS软件中英文对照表

SPSS中英文词汇对照Objective function, 目标函数Observation unit, 观察单位Observed value, 观察值One sided test, 单侧检验One-way analysis of variance, 单因素方差分析Oneway ANOVA , 单因素方差分析Open sequential trial, 开放型序贯设计Optrim, 优切尾Optrim efficiency, 优切尾效率Order statistics, 顺序统计量Ordered categories, 有序分类Ordinal logistic regression , 序数逻辑斯蒂回归Ordinal variable, 有序变量Orthogonal basis, 正交基Orthogonal design, 正交试验设计Orthogonality conditions, 正交条件ORTHOPLAN, 正交设计Outlier cutoffs, 离群值截断点Outliers, 极端值OVERALS , 多组变量的非线性正规相关Overshoot, 迭代过度Paired design, 配对设计Paired sample, 配对样本Pairwise slopes, 成对斜率Parabola, 抛物线Parallel tests, 平行试验Parameter, 参数Parametric statistics, 参数统计Parametric test, 参数检验Partial correlation, 偏相关Partial regression, 偏回归Partial sorting, 偏排序Partials residuals, 偏残差Pattern, 模式Pearson curves, 皮尔逊曲线Peeling, 退层Percent bar graph, 百分条形图Percentage, 百分比Percentile, 百分位数Percentile curves, 百分位曲线Periodicity, 周期性Permutation, 排列P-estimator, P估计量Pie graph, 饼图Pitman estimator, 皮特曼估计量Pivot, 枢轴量Planar, 平坦Planar assumption, 平面的假设PLANCARDS, 生成试验的计划卡Point estimation, 点估计Poisson distribution, 泊松分布Polishing, 平滑Polled standard deviation, 合并标准差Polled variance, 合并方差Polygon, 多边图Polynomial, 多项式Polynomial curve, 多项式曲线Population, 总体Population attributable risk, 人群归因危险度Positive correlation, 正相关Positively skewed, 正偏Posterior distribution, 后验分布Power of a test, 检验效能Precision, 精密度Predicted value, 预测值Preliminary analysis, 预备性分析Principal component analysis, 主成分分析Prior distribution, 先验分布Prior probability, 先验概率Probabilistic model, 概率模型probability, 概率Probability density, 概率密度Product moment, 乘积矩/协方差Profile trace, 截面迹图Proportion, 比/构成比Proportion allocation in stratified random sampling, 按比例分层随机抽样Proportionate, 成比例Proportionate sub-class numbers, 成比例次级组含量Prospective study, 前瞻性调查Proximities, 亲近性Pseudo F test, 近似F检验Pseudo model, 近似模型Pseudosigma, 伪标准差Purposive sampling, 有目的抽样QR decomposition, QR分解Quadratic approximation, 二次近似Qualitative classification, 属性分类Qualitative method, 定性方法Quantile-quantile plot, 分位数-分位数图/Q-Q图Quantitative analysis, 定量分析Quartile, 四分位数Quick Cluster, 快速聚类Radix sort, 基数排序Random allocation, 随机化分组Random blocks design, 随机区组设计Random event, 随机事件Randomization, 随机化Range, 极差/全距Rank correlation, 等级相关Rank sum test, 秩和检验Rank test, 秩检验Ranked data, 等级资料Rate, 比率Ratio, 比例Raw data, 原始资料Raw residual, 原始残差Rayleigh's test, 雷氏检验Rayleigh's Z, 雷氏Z值Reciprocal, 倒数Reciprocal transformation, 倒数变换Recording, 记录Redescending estimators, 回降估计量Reducing dimensions, 降维Re-expression, 重新表达Reference set, 标准组Region of acceptance, 接受域Regression coefficient, 回归系数Regression sum of square, 回归平方和Rejection point, 拒绝点Relative dispersion, 相对离散度Relative number, 相对数Reliability, 可靠性Reparametrization, 重新设置参数Replication, 重复Report Summaries, 报告摘要Residual sum of square, 剩余平方和Resistance, 耐抗性Resistant line, 耐抗线Resistant technique, 耐抗技术R-estimator of location, 位置R估计量R-estimator of scale, 尺度R估计量Retrospective study, 回顾性调查Ridge trace, 岭迹Ridit analysis, Ridit分析Rotation, 旋转Rounding, 舍入Row, 行Row effects, 行效应Row factor, 行因素RXC table, RXC表Sample, 样本Sample regression coefficient, 样本回归系数Sample size, 样本量Sample standard deviation, 样本标准差Sampling error, 抽样误差SAS(Statistical analysis system ), SAS统计软件包Scale, 尺度/量表Scatter diagram, 散点图Schematic plot, 示意图/简图Score test, 计分检验Screening, 筛检SEASON, 季节分析Second derivative, 二阶导数Second principal component, 第二主成分SEM (Structural equation modeling), 结构化方程模型Semi-logarithmic graph, 半对数图Semi-logarithmic paper, 半对数格纸Sensitivity curve, 敏感度曲线Sequential analysis, 贯序分析Sequential data set, 顺序数据集Sequential design, 贯序设计Sequential method, 贯序法Sequential test, 贯序检验法Serial tests, 系列试验Short-cut method, 简捷法Sigmoid curve, S形曲线Sign function, 正负号函数Sign test, 符号检验Signed rank, 符号秩Significance test, 显著性检验Significant figure, 有效数字Simple cluster sampling, 简单整群抽样Simple correlation, 简单相关Simple random sampling, 简单随机抽样Simple regression, 简单回归simple table, 简单表Sine estimator, 正弦估计量Single-valued estimate, 单值估计Singular matrix, 奇异矩阵Skewed distribution, 偏斜分布Skewness, 偏度Slash distribution, 斜线分布Slope, 斜率Smirnov test, 斯米尔诺夫检验Source of variation, 变异来源Spearman rank correlation, 斯皮尔曼等级相关Specific factor, 特殊因子Specific factor variance, 特殊因子方差Spectra , 频谱Spherical distribution, 球型正态分布Spread, 展布SPSS(Statistical package for the social science), SPSS统计软件包Spurious correlation, 假性相关Square root transformation, 平方根变换Stabilizing variance, 稳定方差Standard deviation, 标准差Standard error, 标准误Standard error of difference, 差别的标准误Standard error of estimate, 标准估计误差Standard error of rate, 率的标准误Standard normal distribution, 标准正态分布Standardization, 标准化Starting value, 起始值Statistic, 统计量Statistical control, 统计控制Statistical graph, 统计图Statistical inference, 统计推断Statistical table, 统计表Steepest descent, 最速下降法Stem and leaf display, 茎叶图Step factor, 步长因子Stepwise regression, 逐步回归Storage, 存Strata, 层（复数）Stratified sampling, 分层抽样Stratified sampling, 分层抽样Strength, 强度Stringency, 严密性Structural relationship, 结构关系Studentized residual, 学生化残差/t化残差Sub-class numbers, 次级组含量Subdividing, 分割Sufficient statistic, 充分统计量Sum of products, 积和Sum of squares, 离差平方和Sum of squares about regression, 回归平方和Sum of squares between groups, 组间平方和Sum of squares of partial regression, 偏回归平方和Sure event, 必然事件Survey, 调查Survival, 生存分析Survival rate, 生存率Suspended root gram, 悬吊根图Symmetry, 对称Systematic error, 系统误差Systematic sampling, 系统抽样Tags, 标签Tail area, 尾部面积Tail length, 尾长Tail weight, 尾重Tangent line, 切线Target distribution, 目标分布Taylor series, 泰勒级数Tendency of dispersion, 离散趋势Testing of hypotheses, 假设检验Theoretical frequency, 理论频数Time series, 时间序列Tolerance interval, 容忍区间Tolerance lower limit, 容忍下限Tolerance upper limit, 容忍上限Torsion, 扰率Total sum of square, 总平方和Total variation, 总变异Transformation, 转换Treatment, 处理Trend, 趋势Trend of percentage, 百分比趋势Trial, 试验Trial and error method, 试错法Tuning constant, 细调常数Two sided test, 双向检验Two-stage least squares, 二阶最小平方Two-stage sampling, 二阶段抽样Two-tailed test, 双侧检验Two-way analysis of variance, 双因素方差分析Two-way table, 双向表Type I error, 一类错误/α错误Type II error, 二类错误/β错误UMVU, 方差一致最小无偏估计简称Unbiased estimate, 无偏估计Unconstrained nonlinear regression , 无约束非线性回归Unequal subclass number, 不等次级组含量Ungrouped data, 不分组资料Uniform coordinate, 均匀坐标Uniform distribution, 均匀分布Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计Unit, 单元Unordered categories, 无序分类Upper limit, 上限Upward rank, 升秩Vague concept, 模糊概念Validity, 有效性VARCOMP (Variance component estimation), 方差元素估计Variability, 变异性Variable, 变量Variance, 方差Variation, 变异Varimax orthogonal rotation, 方差最大正交旋转Volume of distribution, 容积W test, W检验Weibull distribution, 威布尔分布Weight, 权数Weighted Chi-square test, 加权卡方检验/Cochran检验Weighted linear regression method, 加权直线回归Weighted mean, 加权平均数Weighted mean square, 加权平均方差Weighted sum of square, 加权平方和Weighting coefficient, 权重系数Weighting method, 加权法W-estimation, W估计量W-estimation of location, 位置W估计量Width, 宽度Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验Wild point, 野点/狂点Wild value, 野值/狂值Winsorized mean, 缩尾均值Withdraw, 失访Youden's index, 尤登指数Z test, Z检验Zero correlation, 零相关Z-transformation, Z变换(完)SPSS中英文词汇对照（上）见:/s/blog_4cd0f36d01008jsi.html SPSS中英文词汇对照（下）见/s/blog_4cd0f36d01008jst.html。

SPSS术语中英文对照分析

SPSS术语中英文对照分析SPSS（Statistical Package for the Social Sciences）是一种功能强大的统计分析软件，常用于社会科学和商业领域的数据分析。

下面是一些SPSS术语的中英文对照分析：1. Data file - 数据文件2. Variable - 变量3. Value - 值4. Data view - 数据视图5. Variable view - 变量视图6. Case - 数据行（案例）7. Frequency - 频数8. Mean - 平均值9. Median - 中位数10. Mode - 众数11. Standard deviation - 标准偏差12. Minimum - 最小值13. Maximum - 最大值14. Range - 范围15. Missing values - 缺失值16. Transform - 转换17. Recode - 重新编码19. Merge files - 合并文件20. Split file - 分割文件21. Sort cases - 排序案例22. Descriptive statistics - 描述性统计23. Inferential statistics - 推断统计24. T-test - t检验25. Analysis of variance (ANOVA) - 方差分析26. Chi-square - 卡方检验27. Regression - 回归28. Correlation - 相关性分析29. Crosstabs - 交叉表30. Cluster analysis - 聚类分析31. Factor analysis - 因子分析32. Hypothesis testing - 假设检验33. Normal distribution - 正态分布34. Skewness - 偏度35. Kurtosis - 峰度36. Outliers - 异常值37. Confidence interval - 置信区间38. Significance level - 显著性水平39. Type I error - Ⅰ型错误40. Type II error - Ⅱ型错误这些术语是SPSS中经常使用的，掌握它们的中英文对照对于学习和使用SPSS非常重要。

SPSS词汇

SPSS词汇(中英文对照) Absolute deviation, 绝对离差Absolute number, 绝对数Absolute residuals, 绝对残差Acceleration array, 加速度立体阵Acceleration in an arbitrary direction, 任意方向上的加速度Acceleration normal, 法向加速度Acceleration space dimension, 加速度空间的维数Acceleration tangential, 切向加速度Acceleration vector, 加速度向量Acceptable hypothesis, 可接受假设Accumulation, 累积Accuracy, 准确度Actual frequency, 实际频数Adaptive estimator, 自适应估计量Addition, 相加Addition theorem, 加法定理Additivity, 可加性Adjusted rate, 调整率Adjusted value, 校正值Admissible error, 容许误差Aggregation, 聚集性Alternative hypothesis, 备择假设Among groups, 组间Amounts, 总量Analysis of correlation, 相关分析Analysis of covariance, 协方差分析Analysis of regression, 回归分析Analysis of time series, 时间序列分析Analysis of variance, 方差分析Angular transformation, 角转换ANOVA （analysis of variance）, 方差分析ANOVA Models, 方差分析模型Arcing, 弧/弧旋Arcsine transformation, 反正弦变换Area under the curve, 曲线面积AREG , 评估从一个时间点到下一个时间点回归相关时的误差ARIMA, 季节和非季节性单变量模型的极大似然估计Arithmetic grid paper, 算术格纸Arithmetic mean, 算术平均数Arrhenius relation, 艾恩尼斯关系Assessing fit, 拟合的评估Associative laws, 结合律Asymmetric distribution, 非对称分布Asymptotic bias, 渐近偏倚Asymptotic efficiency, 渐近效率Asymptotic variance, 渐近方差Attributable risk, 归因危险度Attribute data, 属性资料Attribution, 属性Autocorrelation, 自相关Autocorrelation of residuals, 残差的自相关Average, 平均数Average confidence interval length, 平均置信区间长度Average growth rate, 平均增长率Bar chart, 条形图Bar graph, 条形图Base period, 基期Bayes' theorem , Bayes定理Bell-shaped curve, 钟形曲线Bernoulli distribution, 伯努力分布Best-trim estimator, 最好切尾估计量Bias, 偏性Binary logistic regression, 二元逻辑斯蒂回归Binomial distribution, 二项分布Bisquare, 双平方Bivariate Correlate, 二变量相关Bivariate normal distribution, 双变量正态分布Bivariate normal population, 双变量正态总体Biweight interval, 双权区间Biweight M-estimator, 双权M估计量Block, 区组/配伍组BMDP(Biomedical computer programs), BMDP统计软件包Boxplots, 箱线图/箱尾图Breakdown bound, 崩溃界/崩溃点Canonical correlation, 典型相关Caption, 纵标目Case-control study, 病例对照研究Categorical variable, 分类变量Catenary, 悬链线Cauchy distribution, 柯西分布Cause-and-effect relationship, 因果关系Cell, 单元Censoring, 终检Center of symmetry, 对称中心Centering and scaling, 中心化和定标Central tendency, 集中趋势Central value, 中心值CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测Chance, 机遇Chance error, 随机误差Chance variable, 随机变量Characteristic equation, 特征方程Characteristic root, 特征根Characteristic vector, 特征向量Chebshev criterion of fit, 拟合的切比雪夫准则Chernoff faces, 切尔诺夫脸谱图Chi-square test, 卡方检验/χ2检验Choleskey decomposition, 乔洛斯基分解Circle chart, 圆图Class interval, 组距Class mid-value, 组中值Class upper limit, 组上限Classified variable, 分类变量Cluster analysis, 聚类分析Cluster sampling, 整群抽样Code, 代码Coded data, 编码数据Coding, 编码Coefficient of contingency, 列联系数Coefficient of determination, 决定系数Coefficient of multiple correlation, 多重相关系数Coefficient of partial correlation, 偏相关系数Coefficient of production-moment correlation, 积差相关系数Coefficient of rank correlation, 等级相关系数Coefficient of regression, 回归系数Coefficient of skewness, 偏度系数Coefficient of variation, 变异系数Cohort study, 队列研究Column, 列Column effect, 列效应Column factor, 列因素Combination pool, 合并Combinative table, 组合表Common factor, 共性因子Common regression coefficient, 公共回归系数Common value, 共同值Common variance, 公共方差Common variation, 公共变异Communality variance, 共性方差Comparability, 可比性Comparison of bathes, 批比较Comparison value, 比较值Compartment model, 分部模型Compassion, 伸缩Complement of an event, 补事件Complete association, 完全正相关Complete dissociation, 完全不相关Complete statistics, 完备统计量Completely randomized design, 完全随机化设计Composite event, 联合事件Composite events, 复合事件Concavity, 凹性Conditional expectation, 条件期望Conditional likelihood, 条件似然Conditional probability, 条件概率Conditionally linear, 依条件线性Confidence interval, 置信区间Confidence limit, 置信限Confidence lower limit, 置信下限Confidence upper limit, 置信上限Confirmatory Factor Analysis , 验证性因子分析Confirmatory research, 证实性实验研究Confounding factor, 混杂因素Conjoint, 联合分析Consistency, 相合性Consistency check, 一致性检验Consistent asymptotically normal estimate, 相合渐近正态估计Consistent estimate, 相合估计Constrained nonlinear regression, 受约束非线性回归Constraint, 约束Contaminated distribution, 污染分布Contaminated Gausssian, 污染高斯分布Contaminated normal distribution, 污染正态分布Contamination, 污染Contamination model, 污染模型Contingency table, 列联表Contour, 边界线Contribution rate, 贡献率Control, 对照Controlled experiments, 对照实验Conventional depth, 常规深度Convolution, 卷积Corrected factor, 校正因子Corrected mean, 校正均值Correction coefficient, 校正系数Correctness, 正确性Correlation coefficient, 相关系数Correlation index, 相关指数Correspondence, 对应Counting, 计数Counts, 计数/频数Covariance, 协方差Covariant, 共变Cox Regression, Cox回归Criteria for fitting, 拟合准则Criteria of least squares, 最小二乘准则Critical ratio, 临界比Critical region, 拒绝域Critical value, 临界值Cross-over design, 交叉设计Cross-section analysis, 横断面分析Cross-section survey, 横断面调查Crosstabs , 交叉表Cross-tabulation table, 复合表Cube root, 立方根Cumulative distribution function, 分布函数Cumulative probability, 累计概率Curvature, 曲率/弯曲Curvature, 曲率Curve fit , 曲线拟和Curve fitting, 曲线拟合Curvilinear regression, 曲线回归Curvilinear relation, 曲线关系Cut-and-try method, 尝试法Cycle, 周期Cyclist, 周期性D test, D检验Data acquisition, 资料收集Data bank, 数据库Data capacity, 数据容量Data deficiencies, 数据缺乏Data handling, 数据处理Data manipulation, 数据处理Data processing, 数据处理Data reduction, 数据缩减Data set, 数据集Data sources, 数据来源Data transformation, 数据变换Data validity, 数据有效性Data-in, 数据输入Data-out, 数据输出Dead time, 停滞期Degree of freedom, 自由度Degree of precision, 精密度Degree of reliability, 可靠性程度Degression, 递减Density function, 密度函数Density of data points, 数据点的密度Dependent variable, 应变量/依变量/因变量Dependent variable, 因变量Depth, 深度Derivative matrix, 导数矩阵Derivative-free methods, 无导数方法Design, 设计Determinacy, 确定性Determinant, 行列式Determinant, 决定因素Deviation, 离差Deviation from average, 离均差Diagnostic plot, 诊断图Dichotomous variable, 二分变量Differential equation, 微分方程Direct standardization, 直接标准化法Discrete variable, 离散型变量DISCRIMINANT, 判断Discriminant analysis, 判别分析Discriminant coefficient, 判别系数Discriminant function, 判别值Dispersion, 散布/分散度Disproportional, 不成比例的Disproportionate sub-class numbers, 不成比例次级组含量Distribution free, 分布无关性/免分布Distribution shape, 分布形状Distribution-free method, 任意分布法Distributive laws, 分配律Disturbance, 随机扰动项Dose response curve, 剂量反应曲线Double blind method, 双盲法Double blind trial, 双盲试验Double exponential distribution, 双指数分布Double logarithmic, 双对数Downward rank, 降秩Dual-space plot, 对偶空间图DUD, 无导数方法Duncan's new multiple range method, 新复极差法/Duncan新法Effect, 实验效应Eigenvalue, 特征值Eigenvector, 特征向量Ellipse, 椭圆Empirical distribution, 经验分布Empirical probability, 经验概率单位Enumeration data, 计数资料Equal sun-class number, 相等次级组含量Equally likely, 等可能Equivariance, 同变性Error, 误差/错误Error of estimate, 估计误差Error type I, 第一类错误Error type II, 第二类错误Estimand, 被估量Estimated error mean squares, 估计误差均方Estimated error sum of squares, 估计误差平方和Euclidean distance, 欧式距离Event, 事件Event, 事件Exceptional data point, 异常数据点Expectation plane, 期望平面Expectation surface, 期望曲面Expected values, 期望值Experiment, 实验Experimental sampling, 试验抽样Experimental unit, 试验单位Explanatory variable, 说明变量Exploratory data analysis, 探索性数据分析Explore Summarize, 探索-摘要Exponential curve, 指数曲线Exponential growth, 指数式增长EXSMOOTH, 指数平滑方法Extended fit, 扩充拟合Extra parameter, 附加参数Extrapolation, 外推法Extreme observation, 末端观测值Extremes, 极端值/极值F distribution, F分布F test, F检验Factor, 因素/因子Factor analysis, 因子分析Factor Analysis, 因子分析Factor score, 因子得分Factorial, 阶乘Factorial design, 析因试验设计False negative, 假阴性False negative error, 假阴性错误Family of distributions, 分布族Family of estimators, 估计量族Fanning, 扇面Fatality rate, 病死率Field investigation, 现场调查Field survey, 现场调查Finite population, 有限总体Finite-sample, 有限样本First derivative, 一阶导数First principal component, 第一主成分First quartile, 第一四分位数Fisher information, 费雪信息量Fitted value, 拟合值Fitting a curve, 曲线拟合Fixed base, 定基Fluctuation, 随机起伏Forecast, 预测Four fold table, 四格表Fourth, 四分点Fraction blow, 左侧比率Fractional error, 相对误差Frequency, 频率Frequency polygon, 频数多边图Frontier point, 界限点Function relationship, 泛函关系Gamma distribution, 伽玛分布Gauss increment, 高斯增量Gaussian distribution, 高斯分布/正态分布Gauss-Newton increment, 高斯-牛顿增量General census, 全面普查GENLOG (Generalized liner models), 广义线性模型Geometric mean, 几何平均数Gini's mean difference, 基尼均差GLM (General liner models), 一般线性模型Goodness of fit, 拟和优度/配合度Gradient of determinant, 行列式的梯度Graeco-Latin square, 希腊拉丁方Grand mean, 总均值Gross errors, 重大错误Gross-error sensitivity, 大错敏感度Group averages, 分组平均Grouped data, 分组资料Guessed mean, 假定平均数Half-life, 半衰期Hampel M-estimators, 汉佩尔M估计量Happenstance, 偶然事件Harmonic mean, 调和均数Hazard function, 风险均数Hazard rate, 风险率Heading, 标目Heavy-tailed distribution, 重尾分布Hessian array, 海森立体阵Heterogeneity, 不同质Heterogeneity of variance, 方差不齐Hierarchical classification, 组内分组Hierarchical clustering method, 系统聚类法High-leverage point, 高杠杆率点HILOGLINEAR, 多维列联表的层次对数线性模型Hinge, 折叶点Histogram, 直方图Historical cohort study, 历史性队列研究Holes, 空洞HOMALS, 多重响应分析Homogeneity of variance, 方差齐性Homogeneity test, 齐性检验Huber M-estimators, 休伯M估计量Hyperbola, 双曲线Hypothesis testing, 假设检验Hypothetical universe, 假设总体Impossible event, 不可能事件Independence, 独立性Independent variable, 自变量Index, 指标/指数Indirect standardization, 间接标准化法Individual, 个体Inference band, 推断带Infinite population, 无限总体Infinitely great, 无穷大Infinitely small, 无穷小Influence curve, 影响曲线Information capacity, 信息容量Initial condition, 初始条件Initial estimate, 初始估计值Initial level, 最初水平Interaction, 交互作用Interaction terms, 交互作用项Intercept, 截距Interpolation, 内插法Interquartile range, 四分位距Interval estimation, 区间估计Intervals of equal probability, 等概率区间Intrinsic curvature, 固有曲率Invariance, 不变性Inverse matrix, 逆矩阵Inverse probability, 逆概率Inverse sine transformation, 反正弦变换Iteration, 迭代Jacobian determinant, 雅可比行列式Joint distribution function, 分布函数Joint probability, 联合概率Joint probability distribution, 联合概率分布K means method, 逐步聚类法Kaplan-Meier, 评估事件的时间长度Kaplan-Merier chart, Kaplan-Merier图Kendall's rank correlation, Kendall等级相关Kinetic, 动力学Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验Kurtosis, 峰度Lack of fit, 失拟Ladder of powers, 幂阶梯Lag, 滞后Large sample, 大样本Large sample test, 大样本检验Latin square, 拉丁方Latin square design, 拉丁方设计Leakage, 泄漏Least favorable configuration, 最不利构形Least favorable distribution, 最不利分布Least significant difference, 最小显著差法Least square method, 最小二乘法Least-absolute-residuals estimates, 最小绝对残差估计Least-absolute-residuals fit, 最小绝对残差拟合Least-absolute-residuals line, 最小绝对残差线Legend, 图例L-estimator, L估计量L-estimator of location, 位置L估计量L-estimator of scale, 尺度L估计量Level, 水平Life expectance, 预期期望寿命Life table, 寿命表Life table method, 生命表法Light-tailed distribution, 轻尾分布Likelihood function, 似然函数Likelihood ratio, 似然比line graph, 线图Linear correlation, 直线相关Linear equation, 线性方程Linear programming, 线性规划Linear regression, 直线回归Linear Regression, 线性回归Linear trend, 线性趋势Loading, 载荷Location and scale equivariance, 位置尺度同变性Location equivariance, 位置同变性Location invariance, 位置不变性Location scale family, 位置尺度族Log rank test, 时序检验Logarithmic curve, 对数曲线Logarithmic normal distribution, 对数正态分布Logarithmic scale, 对数尺度Logarithmic transformation, 对数变换Logic check, 逻辑检查Logistic distribution, 逻辑斯特分布Logit transformation, Logit转换LOGLINEAR, 多维列联表通用模型Lognormal distribution, 对数正态分布Lost function, 损失函数Low correlation, 低度相关Lower limit, 下限Lowest-attained variance, 最小可达方差LSD, 最小显著差法的简称Lurking variable, 潜在变量Main effect, 主效应Major heading, 主辞标目Marginal density function, 边缘密度函数Marginal probability, 边缘概率Marginal probability distribution, 边缘概率分布Matched data, 配对资料Matched distribution, 匹配过分布Matching of distribution, 分布的匹配Matching of transformation, 变换的匹配Mathematical expectation, 数学期望Mathematical model, 数学模型Maximum L-estimator, 极大极小L 估计量Maximum likelihood method, 最大似然法Mean, 均数Mean squares between groups, 组间均方Mean squares within group, 组内均方Means (Compare means), 均值-均值比较Median, 中位数Median effective dose, 半数效量Median lethal dose, 半数致死量Median polish, 中位数平滑Median test, 中位数检验Minimal sufficient statistic, 最小充分统计量Minimum distance estimation, 最小距离估计Minimum effective dose, 最小有效量Minimum lethal dose, 最小致死量Minimum variance estimator, 最小方差估计量MINITAB, 统计软件包Minor heading, 宾词标目Missing data, 缺失值Model specification, 模型的确定Modeling Statistics , 模型统计Models for outliers, 离群值模型Modifying the model, 模型的修正Modulus of continuity, 连续性模Morbidity, 发病率Most favorable configuration, 最有利构形Multidimensional Scaling (ASCAL), 多维尺度/多维标度Multinomial Logistic Regression , 多项逻辑斯蒂回归Multiple comparison, 多重比较Multiple correlation , 复相关Multiple covariance, 多元协方差Multiple linear regression, 多元线性回归Multiple response , 多重选项Multiple solutions, 多解Multiplication theorem, 乘法定理Multiresponse, 多元响应Multi-stage sampling, 多阶段抽样Multivariate T distribution, 多元T分布Mutual exclusive, 互不相容Mutual independence, 互相独立Natural boundary, 自然边界Natural dead, 自然死亡Natural zero, 自然零Negative correlation, 负相关Negative linear correlation, 负线性相关Negatively skewed, 负偏Newman-Keuls method, q检验NK method, q检验No statistical significance, 无统计意义Nominal variable, 名义变量Nonconstancy of variability, 变异的非定常性Nonlinear regression, 非线性相关Nonparametric statistics, 非参数统计Nonparametric test, 非参数检验Nonparametric tests, 非参数检验Normal deviate, 正态离差Normal distribution, 正态分布Normal equation, 正规方程组Normal ranges, 正常范围Normal value, 正常值Nuisance parameter, 多余参数/讨厌参数Null hypothesis, 无效假设Numerical variable, 数值变量Objective function, 目标函数Observation unit, 观察单位Observed value, 观察值One sided test, 单侧检验One-way analysis of variance, 单因素方差分析Oneway ANOVA , 单因素方差分析Open sequential trial, 开放型序贯设计Optrim, 优切尾Optrim efficiency, 优切尾效率Order statistics, 顺序统计量Ordered categories, 有序分类Ordinal logistic regression , 序数逻辑斯蒂回归Ordinal variable, 有序变量Orthogonal basis, 正交基Orthogonal design, 正交试验设计Orthogonality conditions, 正交条件ORTHOPLAN, 正交设计Outlier cutoffs, 离群值截断点Outliers, 极端值OVERALS , 多组变量的非线性正规相关Overshoot, 迭代过度Paired design, 配对设计Paired sample, 配对样本Pairwise slopes, 成对斜率Parabola, 抛物线Parallel tests, 平行试验Parameter, 参数Parametric statistics, 参数统计Parametric test, 参数检验Partial correlation, 偏相关Partial regression, 偏回归Partial sorting, 偏排序Partials residuals, 偏残差Pattern, 模式Pearson curves, 皮尔逊曲线Peeling, 退层Percent bar graph, 百分条形图Percentage, 百分比Percentile, 百分位数Percentile curves, 百分位曲线Periodicity, 周期性Permutation, 排列P-estimator, P估计量Pie graph, 饼图Pitman estimator, 皮特曼估计量Pivot, 枢轴量Planar, 平坦Planar assumption, 平面的假设PLANCARDS, 生成试验的计划卡Point estimation, 点估计Poisson distribution, 泊松分布Polishing, 平滑Polled standard deviation, 合并标准差Polled variance, 合并方差Polygon, 多边图Polynomial, 多项式Polynomial curve, 多项式曲线Population, 总体Population attributable risk, 人群归因危险度Positive correlation, 正相关Positively skewed, 正偏Posterior distribution, 后验分布Power of a test, 检验效能Precision, 精密度Predicted value, 预测值Preliminary analysis, 预备性分析Principal component analysis, 主成分分析Prior distribution, 先验分布Prior probability, 先验概率Probabilistic model, 概率模型probability, 概率Probability density, 概率密度Product moment, 乘积矩/协方差Profile trace, 截面迹图Proportion, 比/构成比Proportion allocation in stratified random sampling, 按比例分层随机抽样Proportionate, 成比例Proportionate sub-class numbers, 成比例次级组含量Prospective study, 前瞻性调查Proximities, 亲近性Pseudo F test, 近似F检验Pseudo model, 近似模型Pseudosigma, 伪标准差Purposive sampling, 有目的抽样QR decomposition, QR分解Quadratic approximation, 二次近似Qualitative classification, 属性分类Qualitative method, 定性方法Quantile-quantile plot, 分位数-分位数图/Q-Q图Quantitative analysis, 定量分析Quartile, 四分位数Quick Cluster, 快速聚类Radix sort, 基数排序Random allocation, 随机化分组Random blocks design, 随机区组设计Random event, 随机事件Randomization, 随机化Range, 极差/全距Rank correlation, 等级相关Rank sum test, 秩和检验Rank test, 秩检验Ranked data, 等级资料Rate, 比率Ratio, 比例Raw data, 原始资料Raw residual, 原始残差Rayleigh's test, 雷氏检验Rayleigh's Z, 雷氏Z值Reciprocal, 倒数Reciprocal transformation, 倒数变换Recording, 记录Redescending estimators, 回降估计量Reducing dimensions, 降维Re-expression, 重新表达Reference set, 标准组Region of acceptance, 接受域Regression coefficient, 回归系数Regression sum of square, 回归平方和Rejection point, 拒绝点Relative dispersion, 相对离散度Relative number, 相对数Reliability, 可靠性Reparametrization, 重新设置参数Replication, 重复Report Summaries, 报告摘要Residual sum of square, 剩余平方和Resistance, 耐抗性Resistant line, 耐抗线Resistant technique, 耐抗技术R-estimator of location, 位置R估计量R-estimator of scale, 尺度R估计量Retrospective study, 回顾性调查Ridge trace, 岭迹Ridit analysis, Ridit分析Rotation, 旋转Rounding, 舍入Row, 行Row effects, 行效应Row factor, 行因素RXC table, RXC表Sample, 样本Sample regression coefficient, 样本回归系数Sample size, 样本量Sample standard deviation, 样本标准差Sampling error, 抽样误差SAS(Statistical analysis system ), SAS统计软件包Scale, 尺度/量表Scatter diagram, 散点图Schematic plot, 示意图/简图Score test, 计分检验Screening, 筛检SEASON, 季节分析Second derivative, 二阶导数Second principal component, 第二主成分SEM (Structural equation modeling), 结构化方程模型Semi-logarithmic graph, 半对数图Semi-logarithmic paper, 半对数格纸Sensitivity curve, 敏感度曲线Sequential analysis, 贯序分析Sequential data set, 顺序数据集Sequential design, 贯序设计Sequential method, 贯序法Sequential test, 贯序检验法Serial tests, 系列试验Short-cut method, 简捷法Sigmoid curve, S形曲线Sign function, 正负号函数Sign test, 符号检验Signed rank, 符号秩Significance test, 显著性检验Significant figure, 有效数字Simple cluster sampling, 简单整群抽样Simple correlation, 简单相关Simple random sampling, 简单随机抽样Simple regression, 简单回归simple table, 简单表Sine estimator, 正弦估计量Single-valued estimate, 单值估计Singular matrix, 奇异矩阵Skewed distribution, 偏斜分布Skewness, 偏度Slash distribution, 斜线分布Slope, 斜率Smirnov test, 斯米尔诺夫检验Source of variation, 变异来源Spearman rank correlation, 斯皮尔曼等级相关Specific factor, 特殊因子Specific factor variance, 特殊因子方差Spectra , 频谱Spherical distribution, 球型正态分布Spread, 展布SPSS(Statistical package for the social science), SPSS统计软件包Spurious correlation, 假性相关Square root transformation, 平方根变换Stabilizing variance, 稳定方差Standard deviation, 标准差Standard error, 标准误Standard error of difference, 差别的标准误Standard error of estimate, 标准估计误差Standard error of rate, 率的标准误Standard normal distribution, 标准正态分布Standardization, 标准化Starting value, 起始值Statistic, 统计量Statistical control, 统计控制Statistical graph, 统计图Statistical inference, 统计推断Statistical table, 统计表Steepest descent, 最速下降法Stem and leaf display, 茎叶图Step factor, 步长因子Stepwise regression, 逐步回归Storage, 存Strata, 层（复数）Stratified sampling, 分层抽样Stratified sampling, 分层抽样Strength, 强度Stringency, 严密性Structural relationship, 结构关系Studentized residual, 学生化残差/t化残差Sub-class numbers, 次级组含量Subdividing, 分割Sufficient statistic, 充分统计量Sum of products, 积和Sum of squares, 离差平方和Sum of squares about regression, 回归平方和Sum of squares between groups, 组间平方和Sum of squares of partial regression, 偏回归平方和Sure event, 必然事件Survey, 调查Survival, 生存分析Survival rate, 生存率Suspended root gram, 悬吊根图Symmetry, 对称Systematic error, 系统误差Systematic sampling, 系统抽样Tags, 标签Tail area, 尾部面积Tail length, 尾长Tail weight, 尾重Tangent line, 切线Target distribution, 目标分布Taylor series, 泰勒级数Tendency of dispersion, 离散趋势Testing of hypotheses, 假设检验Theoretical frequency, 理论频数Time series, 时间序列Tolerance interval, 容忍区间Tolerance lower limit, 容忍下限Tolerance upper limit, 容忍上限Torsion, 扰率Total sum of square, 总平方和Total variation, 总变异Transformation, 转换Treatment, 处理Trend, 趋势Trend of percentage, 百分比趋势Trial, 试验Trial and error method, 试错法Tuning constant, 细调常数Two sided test, 双向检验Two-stage least squares, 二阶最小平方Two-stage sampling, 二阶段抽样Two-tailed test, 双侧检验Two-way analysis of variance, 双因素方差分析Two-way table, 双向表Type I error, 一类错误/α错误Type II error, 二类错误/β错误UMVU, 方差一致最小无偏估计简称Unbiased estimate, 无偏估计Unconstrained nonlinear regression , 无约束非线性回归Unequal subclass number, 不等次级组含量Ungrouped data, 不分组资料Uniform coordinate, 均匀坐标Uniform distribution, 均匀分布Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计Unit, 单元Unordered categories, 无序分类Upper limit, 上限Upward rank, 升秩Vague concept, 模糊概念Validity, 有效性VARCOMP (Variance component estimation), 方差元素估计Variability, 变异性Variable, 变量Variance, 方差Variation, 变异Varimax orthogonal rotation, 方差最大正交旋转Volume of distribution, 容积W test, W检验Weibull distribution, 威布尔分布Weight, 权数Weighted Chi-square test, 加权卡方检验/Cochran检验Weighted linear regression method, 加权直线回归Weighted mean, 加权平均数Weighted mean square, 加权平均方差Weighted sum of square, 加权平方和Weighting coefficient, 权重系数Weighting method, 加权法W-estimation, W估计量W-estimation of location, 位置W估计量Width, 宽度Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验Wild point, 野点/狂点Wild value, 野值/狂值Winsorized mean, 缩尾均值Withdraw, 失访Youden's index, 尤登指数Z test, Z检验Zero correlation, 零相关Z-transformation, Z变换。

spss常用统计词汇中英对照表

spss常用统计词汇中英对照表统计词汇英汉对照Absolute deviation, 绝对离差Absolute number, 绝对数 Absolute residuals, 绝对残差Acceptable hypothesis, 可接受假设 Accumulation, 累积ccuracy, 准确度 Actual frequency, 实际频数Addition, 相加 Additivity, 可加性Adjusted rate, 调整率 Adjusted value, 校正值Admissible error, 容许误差 Aggregation, 聚集性Alternative hypothesis, 备择假设 Among groups, 组间Amounts, 总量 Analysis of correlation, 相关分析Analysis of covariance, 协方差分析 Analysis of regression, 回归分析Analysis of time series, 时间序列分析 Analysis of variance, 方差分析ANOVA （analysis of variance）, 方差分析 ANOVA Models, 方差分析模型Arcing, 弧/弧旋 Arcsine transformation, 反正弦变换Area under the curve, 曲线面积 AREG , 评估从一个时间点到下一个时间点回归相关时的误差Arithmetic mean, 算术平均数rrhenius relation, 艾恩尼斯关系 Assessing fit, 拟合的评估Asymmetric distribution, 非对称分布 Asymptotic efficiency, 渐近效率Asymptotic variance, 渐近方差 Attributable risk, 归因危险度Attribute data, 属性资料 Attribution, 属性Autocorrelation, 自相关Autocorrelation of residuals, 残差的自相关Average, 平均数 Average confidence interval length, 平均置信区间长度 Average growth rate, 平均增长率Bar chart, 条形图 Bar graph, 条形图Base period, 基期 Bayes" theorem , Bayes 定理Bell-shaped curve, 钟形曲线 Bernoulli distribution, 伯努力分布Best-trim estimator, 最好切尾估计量 Bias, 偏性Binary logistic regression, 二元逻辑斯蒂回归 Binomial distribution, 二项分布Bisquare, 双平方 Bivariate Correlate, 二变量相关Bivariate normal distribution, 双变量正态分布Bivariate normal population, 双变量正态总体 Biweight M-estimator, 双权 M 估计量 BMDP(Biomedical puter programs), BMDP 统计软件包 Bo_plots, 箱线图/箱尾图Canonical correlation, 典型相关 Caption, 纵标目Case-control study, 病例对照研究 Categorical variable, 分类变量Catenary, 悬链线 Cauchy distribution, 柯西分布Cause-and-effect relationship, 因果关系 Cell, 单元Censoring, 终检 Center of symmetry, 对称中心Centering and scaling, 中心化和定标 Central tendency, 集中趋势Central value, 中心值 CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测Chance, 机遇Chance error, 随机误差 Chance variable, 随机变量Characteristic equation, 特征方程 Characteristic root, 特征根Characteristic vector, 特征向量 Chebshev criterion of fit, 拟合的切比雪夫准则 Chernoff faces, 切尔诺夫脸谱图Chi-square test, 卡方检验/χ2 检验 Choleskey deposition, 乔洛斯基分解 Circle chart, 圆图Class interval, 组距Class mid-value, 组中值 Class upper limit, 组上限Classified variable, 分类变量 Cluster analysis, 聚类分析Cluster sling, 整群抽样 Coefficient of contingency,列联系数Coefficient of determination, 决定系数 Coefficient of multiple correlation, 多重相关系数 Coefficient of partial correlation, 偏相关系数 Coefficient of production-moment correlation, 积差相关系数 Coefficient of rank correlation, 等级相关系数 Coefficient of regression, 回归系数Coefficient of skewness, 偏度系数 Coefficient of variation, 变异系数Cohort study, 队列研究 Column, 列Column effect, 列效应 Column factor, 列因素bination pool, 合并 binative table, 组合表mon factor, 共性因子 mon regression coefficient, 公共回归系数 mon value, 共同值mon variance, 公共方差mon variation, 公共变异munality variance, 共性方差 parability, 可比性parison of bathes, 批比较 parison value, 比较值partment model, 分部模型 passion, 伸缩plement of an event, 补事件 plete association, 完全正相关plete dissociation, 完全不相关 plete statistics, 完备统计量pletely randomized design, 完全随机化设计 posite event, 联合事件posite events, 复合事件 Concavity, 凹性Conditional e_pectation, 条件期望 Conditional likelihood, 条件似然Conditional probability, 条件概率 Conditionally linear, 依条件线性Confidence interval, 置信区间Confidence limit, 置信限Confidence lower limit, 置信下限 Confidence upper limit, 置信上限Confirmatory Factor Analysis , 验证性因子分析Confounding factor, 混杂因素Conjoint, 联合分析 Consistency, 相合性Consistency check, 一致性检验 Consistent asymptotically normal estimate, 相合渐近正态估计Consistent estimate, 相合估计Constrained nonlinear regression, 受约束非线性回归Contour, 边界线Contribution rate, 贡献率 Control, 对照Controlled e_periments, 对照实验 Conventional depth, 常规深度Corrected factor, 校正因子 Corrected mean, 校正均值Correction coefficient, 校正系数 Correctness, 正确性Correlation coefficient, 相关系数Correlation inde_, 相关指数Counting, 计数 Counts, 计数/频数Covariance, 协方差 Co_ Regression, Co_ 回归Criteria for fitting, 拟合准则 Criteria of least squares, 最小二乘准则Critical ratio, 临界比Critical region, 拒绝域 Critical value, 临界值Cumulative distribution function, 分布函数 D test, D 检验Data acquisition, 资料收集 Data bank, 数据库Data capacity, 数据容量 Data deficiencies, 数据缺乏Data handling, 数据处理 Data manipulation, 数据处理Data processing, 数据处理 Data set, 数据集Data sources, 数据来源 Data transformation, 数据变换Data validity, 数据有效性 Data-in, 数据输入Data-out, 数据输出 Degree of freedom, 自由度Degree of reliability, 可靠性程度 Density function, 密度函数Density of data points, 数据点的密度 Dependent variable, 应变量/依变量/因变量Dependent variable, 因变量Depth, 深度 Derivative matri_, 导数矩阵Derivative-free methods, 无导数方法 Design, 设计Determinacy, 确定性 Determinant, 行列式Determinant, 决定因素 Deviation, 离差Deviation from average, 离均差Dichotomous variable, 二分变量Differential equation, 微分方程 Direct standardization, 直接标准化法 Discrete variable, 离散型变量 DISCRIMINANT, 判断Discriminant analysis, 判别分析 Discriminant coefficient, 判别系数Discriminant function, 判别值 Dispersion, 散布/分散度Downward rank, 降秩 Effect, 实验效应Eigenvalue, 特征值 Eigenvector, 特征向量Ellipse, 椭圆 Empirical distribution, 经验分布Empirical probability, 经验概率单位 Enumeration data, 计数资料Equally likely, 等可能 Equivariance, 同变性Error, 误差/错误 Error of estimate, 估计误差Error type I, 第一类错误 Error type II, 第二类错误Estimated error mean squares, 估计误差均方 Estimated error sum of squares, 估计误差平方和 Euclidean distance, 欧式距离Event, 事件 Event, 事件E_ceptional data point, 异常数据点 E_pected values, 期望值E_periment, 实验 E_perimental sling, 试验抽样E_perimental unit, 试验单位 E_planatory variable, 说明变量E_ploratory data analysis, 探索性数据分析 E_plore Summarize, 探索-摘要E_ponential curve, 指数曲线 E_ponential growth, 指数式增长E_SMOOTH, 指数平滑方法E_tended fit, 扩充拟合E_tra parameter, 附加参数E_trapolation, 外推法E_treme observation, 末端观测值 E_tremes, 极端值/极值F distribution, F 分布 F test, F 检验Factor, 因素/因子 Factor analysis, 因子分析Factor Analysis, 因子分析 Factor score, 因子得分Family of distributions, 分布族 Field investigation, 现场调查Field survey, 现场调查 Finite population, 有限总体Finite-sle, 有限样本 First derivative, 一阶导数First principal ponent, 第一主成分 First quartile, 第一四分位数Fitted value, 拟合值 Fitting a curve, 曲线拟合Fi_ed base, 定基 Fluctuation, 随机起伏Forecast, 预测 Four fold table, 四格表Fourth, 四分点 Fraction blow, 左侧比率Fractional error, 相对误差 Frequency, 频率Frequency polygon, 频数多边图 Frontier point, 界限点Function relationship, 泛函关系 Gamma distribution, 伽玛分布Gauss increment, 高斯增量 Gaussian distribution, 高斯分布/正态分布General census, 全面普查 GENLOG (Generalized liner models), 广义线性模型Geometric mean, 几何平均数GLM (General liner models), 通用线性模型Goodness of fit, 拟和优度/配合度Gradient of determinant, 行列式的梯度Grand mean, 总均值Group averages, 分组平均 Grouped data, 分组资料Guessed mean, 假定平均数 Half-life, 半衰期Happenstance, 偶然事件 Harmonic mean, 调和均数Hazard function, 风险均数 Hazard rate, 风险率Heading, 标目Heavy-tailed distribution, 重尾分布Heterogeneity of variance, 方差不齐Hierarchical classification, 组内分组Hierarchical clustering method, 系统聚类法HILOGLINEAR, 多维列联表的层次对数线性模型 Hinge, 折叶点Histogram, 直方图 HOMALS, 多重响应分析Homogeneity of variance, 方差齐性 Homogeneity test, 齐性检验Huber M-estimators, 休伯 M 估计量 Hyperbola, 双曲线Hypothesis testing, 假设检验 Hypothetical universe, 假设总体Impossible event, 不可能事件 Independence, 独立性Independent variable, 自变量 Inde_, 指标/指数Indirect standardization, 间接标准化法 Individual, 个体Inference band, 推断带 Infinite population, 无限总体Infinitely great, 无穷大 Infinitely small, 无穷小Influence curve, 影响曲线 Information capacity, 信息容量Initial condition, 初始条件 Initial estimate, 初始估计值Initial level, 最初水平 Interaction, 交互作用Interaction terms, 交互作用项Intercept, 截距Interpolation, 内插法 Interquartile range, 四分位距Interval estimation, 区间估计 Intervals of equal probability, 等概率区间 Intrinsic curvature, 固有曲率Invariance, 不变性 Inverse matri_, 逆矩阵Inverse probability, 逆概率 Inverse sine transformation, 反正弦变换Iteration, 迭代Jacobian determinant, 雅可比行列式 Joint distribution function, 分布函数 Joint probability, 联合概率 Jointprobability distribution, 联合概率分布 K means method, 逐步聚类法Kaplan-Merier chart, Kaplan-Merier 图 Kendall"s rank correlation, Kendall 等级相关 Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验 Kruskal and Wallis test, Kruskal 及 Wallis 检验/多样本的秩和检验/H 检验 Kurtosis, 峰度Lack of fit, 失拟 Ladder of powers, 幂阶梯Large sle, 大样本 Large sle test, 大样本检验Latin square, 拉丁方 Latin square design, 拉丁方设计Least favorable configuration, 最不利构形 Least favorable distribution, 最不利分布 Least significant difference, 最小显著差法 Least square method, 最小二乘法Least-absolute-residuals estimates, 最小绝对残差估计Least-absolute-residuals fit, 最小绝对残差拟合 Least-absolute-residuals line, 最小绝对残差线Legend, 图例L-estimator, L 估计量 L-estimator of location, 位置 L 估计量L-estimator of scale, 尺度 L 估计量 Level, 水平Life table, 寿命表 Life table method, 生命表法Light-tailed distribution, 轻尾分布 Likelihood function, 似然函数Likelihood ratio, 似然比 line graph, 线图Linear correlation, 直线相关 Linear equation, 线性方程Linear programming, 线性规划 Linear regression, 直线回归Linear Regression, 线性回归 Linear trend, 线性趋势Loading, 载荷Location and scale equivariance, 位置尺度同变性Location equivariance, 位置同变性Location invariance, 位置不变性 Location scale family, 位置尺度族Log rank test, 时序检验Logarithmic curve, 对数曲线Logarithmic normal distribution, 对数正态分布Logarithmic scale, 对数尺度Logarithmic transformation, 对数变换 Logic check, 逻辑检查Logistic distribution, 逻辑斯特分布 Logit transformation, Logit 转换LOGLINEAR, 多维列联表通用模型Lognormal distribution, 对数正态分布Lost function, 损失函数 Low correlation, 低度相关Lower limit, 下限 Lowest-attained variance, 最小可达方差LSD, 最小显著差法的简称Lurking variable, 潜在变量Main effect, 主效应 Marginal density function, 边缘密度函数 Marginal probability, 边缘概率 Marginal probability distribution, 边缘概率分布 Matching of transformation, 变换的匹配Mathematical e_pectation, 数学期望Mathematical model, 数学模型Ma_imum L-estimator, 极大极小 L 估计量 Ma_imum likelihood method, 最大似然法 Mean, 均数 Mean squares between groups, 组间均方 Mean squares within group, 组内均方 Means (pare means), 均值-均值比较 Median, 中位数Median effective dose, 半数效量Median polish, 中位数平滑 Median test, 中位数检验Minimal sufficient statistic, 最小充分统计量 Minimum distance estimation, 最小距离估计 Minimum variance estimator, 最小方差估计量 MINITAB, 统计软件包Missing data, 缺失值Model specification, 模型的确定Modeling Statistics , 模型统计 Models for outliers, 离群值模型Modifying the model, 模型的修正 Most favorable configuration, 最有利构形Multidimensional Scaling (ASCAL), 多维尺度/多维标度Multinomial Logistic Regression , 多项逻辑斯蒂回归Multiple parison, 多重比较Multiple correlation , 复相关 Multiple covariance, 多元协方差Multiple linear regression, 多元线性回归 Multiple response , 多重选项Multiple solutions, 多解Multiplication theorem, 乘法定理Multiresponse, 多元响应 Multi-stage sling, 多阶段抽样Multivariate T distribution, 多元 T 分布 Mutuale_clusive, 互不相容Mutual independence, 互相独立 Negative correlation, 负相关Negative linear correlation, 负线性相关 Negatively skewed, 负偏Newman-Keuls method, q 检验 NK method, q 检验No statistical significance, 无统计意义 Nominal variable, 名义变量Nonlinear regression, 非线性相关 Nonparametric statistics, 非参数统计Nonparametric test, 非参数检验 Normal deviate, 正态离差Normal distribution, 正态分布 Normal ranges, 正常范围Normal value, 正常值 Nuisance parameter, 多余参数/讨厌参数 Null hypothesis, 无效假设Numerical variable, 数值变量Objective function, 目标函数 Observation unit, 观察单位Observed value, 观察值 One sided test, 单侧检验One-way analysis of variance, 单因素方差分析 Oneway ANOVA , 单因素方差分析Order statistics, 顺序统计量 Ordered categories, 有序分类Ordinal logistic regression , 序数逻辑斯蒂回归Ordinal variable, 有序变量Orthogonal basis, 正交基 Orthogonal design, 正交试验设计Orthogonality conditions, 正交条件 ORTHOPLAN, 正交设计Outlier cutoffs, 离群值截断点Outliers, 极端值OVERALS , 多组变量的非线性正规相关Paired design, 配对设计Paired sle, 配对样本 Parallel tests, 平行试验Parameter, 参数 Parametric statistics, 参数统计Parametric test, 参数检验 Partial correlation, 偏相关Partial regression, 偏回归 Pearson curves, 皮尔逊曲线Percent bar graph, 百分条形图 Percentage, 百分比Percentile, 百分位数 Percentile curves, 百分位曲线Periodicity, 周期性 Permutation, 排列P-estimator, P 估计量 Pie graph, 饼图Pitman estimator, 皮特曼估计量 Point estimation, 点估计Poisson distribution, 泊松分布 Population, 总体Positive correlation, 正相关 Positively skewed, 正偏Posterior distribution, 后验分布 Power of a test, 检验效能Precision, 精密度 Predicted value, 预测值Principal ponent analysis, 主成分分析 Prior distribution, 先验分布Prior probability, 先验概率 Probabilistic model, 概率模型probability, 概率 Probability density, 概率密度Product moment, 乘积矩/协方差 Pro, 截面迹图Proportion, 比/构成比 Proportion allocation in stratified random sling, 按比例分层随机抽样 Proportionate sub-class numbers, 成比例次级组含量Pseudo F test, 近似 F 检验Pseudo model, 近似模型 Pseudosigma, 伪标准差Purposive sling, 有目的抽样 QR deposition, QR 分解Quadratic appro_imation, 二次近似 Qualitative classification, 属性分类Qualitative method, 定性方法 Quantile-quantile plot, 分位数-分位数图/Q-Q 图 Quantitative analysis, 定量分析Quartile, 四分位数 Quick Cluster, 快速聚类Radi_ sort, 基数排序 Random allocation, 随机化分组Random blocks design, 随机区组设计 Random event, 随机事件Randomization, 随机化 Range, 极差/全距Rank correlation, 等级相关 Rank sum test, 秩和检验Rank test, 秩检验 Ranked data, 等级资料Rate, 比率 Ratio, 比例Raw data, 原始资料 Raw residual, 原始残差Reciprocal, 倒数 Reducing dimensions, 降维Region of acceptance, 接受域 Regression coefficient, 回归系数Regression sum of square, 回归平方和 Relative dispersion, 相对离散度Relative number, 相对数 Reliability, 可靠性Reparametrization, 重新设置参数 Replication, 重复Report Summaries, 报告摘要 Residual sum of square, 剩余平方和 Resistance, 耐抗性 R-estimator of location, 位置R 估计量R-estimator of scale, 尺度 R 估计量Retrospective study, 回顾性调查 Rotation, 旋转Row, 行 Row factor, 行因素Sle, 样本Sleregression coefficient, 样本回归系数 Sle size, 样本量Sle standard deviation, 样本标准差 Sling error, 抽样误差SAS(Statistical analysis system ), SAS 统计软件包Scale, 尺度/量表Scatter diagram, 散点图 Schematic plot, 示意图/简图Second derivative, 二阶导数 Second principal ponent, 第二主成分SEM (Structural equation modeling), 结构化方程模型Sequential analysis, 贯序分析Sequential data set, 顺序数据集 Sequential design, 贯序设计Sequential method, 贯序法 Sequential test, 贯序检验法Sigmoid curve, S 形曲线 Sign test, 符号检验Signed rank, 符号秩 Significance test, 显著性检验Significant figure, 有效数字 Simple cluster sling, 简单整群抽样 Simple correlation, 简单相关Simple random sling, 简单随机抽样 Simple regression, 简单回归simple table, 简单表 Single-valued estimate, 单值估计Singular matri_, 奇异矩阵 Skewed distribution, 偏斜分布Skewness, 偏度 Slash distribution, 斜线分布Smirnov test, 斯米尔诺夫检验Spearman rank correlation, 斯皮尔曼等级相关 Specific factor, 特殊因子Specific factor variance, 特殊因子方差 Spherical distribution, 球型正态分布 SPSS(Statistical package for the social science), SPSS 统计软件包 Standard deviation, 标准差Standard error, 标准误 Standard error of difference, 差别的标准误 Standard error of estimate, 标准估计误差Standard error of rate, 率的标准误 Standard normal distribution, 标准正态分布 Standardization, 标准化Starting value, 起始值 Statistic, 统计量Statistical control, 统计控制 Statistical graph, 统计图Statistical inference, 统计推断 Statistical table, 统计表Steepest descent, 最速下降法 Stem and leaf display, 茎叶图Step factor, 步长因子 Stepwise regression, 逐步回归Storage, 存 Strata, 层（复数）Stratified sling, 分层抽样 Stratified sling, 分层抽样Studentized residual, 学生化残差/t 化残差 Sufficient statistic, 充分统计量Sum of products, 积和 Sum of squares, 离差平方和Sum of squares about regression, 回归平方和 Sum of squares between groups, 组间平方和 Sum of squares of partial regression, 偏回归平方和Sure event, 必然事件Survey, 调查 Survival, 生存分析Survival rate, 生存率 Symmetry, 对称Systematic error, 系统误差 Systematic sling, 系统抽样Tags, 标签 Tail area, 尾部面积Tail length, 尾长 Tail weight, 尾重Target distribution, 目标分布 Taylor series, 泰勒级数Tendency of dispersion, 离散趋势 Testing of hypotheses, 假设检验Theoretical frequency, 理论频数 Time series, 时间序列Tolerance interval, 容忍区间 Total sum of square, 总平方和Total variation, 总变异 Transformation, 转换Treatment, 处理 Trend, 趋势Trend of percentage, 百分比趋势 Trial, 试验Trial and error method, 试错法 Two sided test, 双向检验Two-stage least squares, 二阶最小平方 Two-tailed test, 双侧检验Two-way analysis of variance, 双因素方差分析 Type I error, 一类错误/α错误Type II error, 二类错误/β错误 UMVU, 方差一致最小无偏估计简称Unbiased estimate, 无偏估计 Unconstrained nonlinear regression , 无约束非线性回归 Unequal subclass number, 不等次级组含量 Ungrouped data, 不分组资料Uniform coordinate, 均匀坐标Uniform distribution, 均匀分布Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计 Upper limit, 上限Upward rank, 升秩 Validity, 有效性VARP (Variance ponent estimation), 方差元素估计Variability, 变异性Variable, 变量 Variance, 方差Variation, 变异 Varima_ orthogonal rotation, 方差最大正交旋转 W test, W 检验Weibull distribution, 威布尔分布 Weight, 权数Weighted Chi-square test, 加权卡方检验/Cochran 检验Weighted linear regression method, 加权直线回归 Weighted mean, 加权平均数Weighted mean square, 加权平均方差 Weighted sum of square, 加权平方和 Weighting coefficient, 权重系数Weighting method, 加权法W-estimation, W 估计量W-estimation of location, 位置 W 估计量 Width, 宽度Wilco_on paired test, 威斯康星配对法/配对符号秩和检验 Z test, Z 检验Zero correlation, 零相关 Z-transformation, Z 变换。

SPSS术语中英文对照分析

SPSS术语中英文对照分析在SPSS（统计包软件）中，有很多重要的术语。

这些术语包括统计方法、变量类型、数据分析概念以及软件功能等。

下面是一些SPSS术语的中英文对照分析。

1. Variable（变量）：SPSS中用于存储数据的测量项目。

分为定量变量（continuous variable）和分类变量（categorical variable）。

2. Data set（数据集）：SPSS中存储数据的文件。

每个数据集通常含有多个变量。

3. Descriptive statistics（描述性统计）：对数据进行整体描述的统计指标，如平均值（mean）、中位数（median）、众数（mode）、标准差（standard deviation）等。

4. Inferential statistics（推论统计）：根据样本数据来进行推断、推算总体的统计推断方法，如t检验（t-test）、方差分析（analysis of variance，ANOVA）、相关分析（correlation analysis）等。

5. Continuous variable（定量变量）：表示连续的数据，如年龄、收入等。

6. Categorical variable（分类变量）：表示离散的数据，如性别、教育程度等。

7. Nominal variable（名义变量）：一种分类变量，没有顺序或等级，如颜色、性别等。

8. Ordinal variable（有序变量）：一种分类变量，有固定的顺序，但没有固定的间隔，如教育程度（小学、初中、高中、大学）。

9. Dependent variable（因变量）：在研究中受到其他变量影响的变量，也被称为响应变量。

10. Independent variable（自变量）：用于解释或预测因变量的变量。

11. Hypothesis testing（假设检验）：根据样本数据来检验统计假设，通常包括零假设（null hypothesis）和备择假设（alternative hypothesis）两种。

[SPSS统计分析]英汉词汇表

% of cases个案数的%1/square root1/平方根–2 log-likelihood-2*对数似然值2-D dot plot二维点图2-stage least squares regression二阶段最小二乘回归3-D area三维面积图3-D bar charts三维条形图3-D density三维密度图3-D histogram三维直方图3-D pie三维饼图3-D scatterplot三维散点图4th四次项5% trimmed mean5%调整均值5th五次项95% confidence interval95%置信区间95% confidence interval回归系数的95%置信区间AAAD, Average absolute deviation平均绝对偏差above上方above categories to which they apply上述类别中它们适用的类别absent不存在absolute value below排除小于绝对值如下absolute values绝对值across all sources simultaneously同时跨所有源active dataset活动数据集active dataset is keyed table活动数据集为基于关键字的表actual % outside specification limits实际%外部规格限制actual category probability实际类别概率add a file添加一个文件add aggregated variables to active dataset将汇总变量添加到活动数据集add cases添加个案add category添加类别add subtotal添加小计add to file添加至文件add variables添加变量additive加法additive patch可加修补adjust p-values for multiple comparisons为多重比较调整P值（Bonferroni方法）(Bonferroni method)adjusted调节adjusted predicted value调整预测值Adjusted R2调整R2adjusted residual调整残差adjusted residuals plot调整残差图adjusted standardized调整标准化（残差）agglomeration schedule合并进程表aggregate分类汇总aggregate data汇总数据aggregate function汇总函数aggregate variable(s)汇总变量Akaike information criterion ,AIC Akaike信息准则algorithms算法align对齐alignment within margins对齐all 2-way所有二阶all 3-way所有三阶all 4-way所有四阶all 5-way所有五阶all breaks in first column所有分组都在第一列中all cases全部个案all categories equal所有类别相等all clusters所有聚类all groups equal所有组相等all models所有模型all points equal所有点相等all possible sign patterns所有可能符号模式all sources所有源all variables multiple nominal所有变量为多重标称allow negative subject weights允许负主题权重alpha factoringα因子分解alphabetical字母顺序an external PASW Statistics data file外部PASW Statistics 数据文件an open dataset打开的数据集analysis of covariance, ANCOVA/MANCOVA 协方差分析analysis of variance, ANOVA方差分析analysis variables分析变量analysis-of-variance table ，ANOVA table方差分析表analyze分析analyze all cases, do not create groups分析所有个案，不创建组analyze patterns分析模式anchor first bin定位第一个块Anderberg’s D Anderberg D值Anderson-Rubin Anderson-Rubin法Andrews' wave estimator Andrews波动估计值ANOVA table and eta ANOVA表与etaanti-image反影像anti-image correlation matrix反影像相关矩阵anti-image covariance matrix反影像协方差矩阵apply template from从文件应用模板apply to all应用到全部apply transformations应用转换approx. chi-square近似χ2approximately % of all cases大约所有个案的% approximations近似值area charts面积图area represents面积的表征ARIMA综合自回归移动平均模型ARIMA model ARIMA模型ARIMA model parameters ARIMA模型参数ARIMA models only仅限ARIMA模型ARIMA orders for dependent variables因变量的ARIMA阶数arithmetic difference算术差值arithmetic function算术函数arithmetic label算术标签ascending升序ascending counts按计数升序排序ascending means按均值升序排序ascending values按值升序排序assign rank 1 to将秩1指定给association table相关表assumed standardized已标准化的计数asymptotic 95% confidence interval渐近95% 置信区间asymptotic correlation and covariance matrices渐进相关与协方差矩阵asymptotic correlation matrix of parameter参数估计值的渐进相关系数矩阵estimatesasymptotic correlation of parameter estimates参数估计值的渐进相关性asymptotic correlations渐进相关asymptotic covariance and correlation matrix渐进协方差与相关系数矩阵asymptotic covariance matrix渐近协方差矩阵asymptotic covariance of parameter estimates参数估计的渐进协方差asymptotic covariances渐进协方差asymptotic only仅渐进法asymptotic standard error渐进标准误at each step在每个步骤中at last step在最后一个步骤中auto-clustering自动聚类autocorrelation function, ACF自相关函数autocorrelations自相关auto-fill自动填充automatic自动automatic data preparation自动数据准备automatic labels自动标签automatic recode自动重新编码automatically align vertically自动垂直对齐autoregressive integrated moving average自回归集成滑动平均autoregressive，p自回归available可用average absolute deviation AAD（平均绝对偏差）average stress平均应力Bbacktransform scores逆转换得分backward elimination向后去除backward stepwise向后步进bar chart条形图bar of counts计数条形图bar pair represents条对表征bars represent条表征Bartlett Bartlett法Bartlett's approximation Bartlett的近似值Bartlett's Test of Sphericity Bartlett球形度检验based on eigenvalue基于特征值based on time or case range基于时间或个案全距begin new page & reset page number开始新页并重新设置页数begin next page开始下一页below下方below categories to which they apply以下类别中它们适用的类别best-fitting models最佳拟合模型betaβ分布between cases个案间between groups组间between variables变量间between-groups linkage组间联接，类间平均法between-subject factors组间因素between-subjects model群体间模型bias corrected accelerated, BCa偏差修正加速bin sizes块大小binary logistic regression二值logistic 回归binary measure二分类度量bi-negative exponential双负指数binned scatterplot离散化散点图binned variable离散的变量binomial distribution二项式分布binomial test二项式检验biplot双标图biplot and triplot variables双标图和三标图变量biplot variables双标图变量bivariate correlation双变量相关分析blank空blank lines before summaries n摘要前的空行block块blom Blom法Bonferroni，LSDMCD修正最小显著差异法bootstrap estimates of standard error标准误的Bootstrap估计（标准误自助估计）both files provide cases两个文件都提供个案bottom底端boxplot箱图Box's M Box M统计量Box's M test Box M检验Box's test of equality of covariance matrices协方差矩阵齐性的Box检验Bray-Curtis nonnumeric coefficient Bray-Curtis非量度系数break columns分组列break columns variables终止列变量，分组列变量break format for中断格式break options for中断选项break ties arbitrarily强制打开结break variable(s)分组变量Breslow Breslow检验Brown's exponential smoothing Brown 指数平滑法Brown's linear trend Brown 线性趋势bubble plot泡泡图build term(s)构建项Cc, u control chart缺陷数、单位缺陷数控制图cache data缓存数据calculate from data从数据中计算canonical correlation典型相关系数canonical discriminant function coefficients典型判别式函数系数capability sigma容量σcaption题注case labels个案标签case number of sign pattern to use要使用的符号模式个案号case processing summary个案处理摘要case studies个案研究case summaries个案汇总case to treat as supplementary视为补充的个案cases are个案为cases are subgroups个案为子组cases scanned已扫描个案casewise diagnostics个案诊断casewise listing of residuals个案残差列表casewise results个案结果categorical分类资料categorical covariates分类协变量分类主成分分析categorical principal components analysis，CATPCAcategorical regression，CATREG分类回归categorical variables分类变量categories and total分类和总计categories must be equal类别必须相等category类别category axis类别轴category centroids类别质心category centroids plot类别质心图category constraints类别约束category coordinates类别坐标category coordinates plot类别坐标图category is supplemental类别为补充型category order类别顺序category plots类别图category position类别位置category quantifications类别量化category quantifications and contributions类别量化和贡献category range for row variable行变量的分类全距cell covariate(s)单元协变量cell display单元显示cell information单元格信息cell percentages单元格百分比cell probabilities单元格可能性cell statistics单元格统计量cell structure单元结构cell weights单元格权重censored截尾censored data，cen截尾数据center居中centered leverage value居中杠杆值centered moving average中心移动平均centered within column在列中居中centimeters厘米central tendency集中趋势central tendency and dispersion集中趋势和离散centroid clustering质心聚类法，重心距离法centroid coordinate按质心坐标centroids质心CF tree tuning criteria CF树调节准则change contrast更改对比change in R2R2改变量change sign更改符号change value更改值chart builder图表构建程序chart type图表类型chart values图表值charts图表check separation of data points from iteration从迭代中检查数据点分离情况chi-squareχ2chi-square measureχ2统计量度量chi-square or t-test of significance显著性χ2检验或t检验chi-square statisticχ2统计量chi-square testχ2检验，卡方检验classical MDS，CMDS古典多维尺度分析classification cutoff分类标准值classification function coefficients分类函数系数classification plots分类图classification results分类结果classification table分类表classify分类，分类分析clear清除close关闭cluster analysis聚类分析cluster centers聚类中心cluster features tree，CFT聚类特征树cluster frequencies聚类频率cluster information for each case每个个案的聚类信息cluster membership聚类成员cluster model update聚类模型更新cluster pie chart聚类饼图clustered bar chart复式条形图clustered boxplot复式箱图clustered error bar复式误差条图clustered high-low-close chart复式高低收盘图clustered range bar群集范围栏clustered range bar chart复式极差图clustering criterion聚类准则Cochran chi-square Cochran χ2Cochran test Cochran 检验Cochran’s Q test Cochran Q检验Cochran's and Mantel-Haenszel statistic Cochran's与Mantel-Haenszel统计量codebook代码本coefficient alphaα系数coefficient alpha for each half每半α系数coefficient correlations系数相关性coefficient display format系数显示格式coefficient of concordance一致性系数coefficient of dispersion, COD离散系数，CODcoefficient statistics系数统计coefficient total系数总计coefficients系数cohen's kappa Cohen κ系数col/row/layer count % (base: responses)列/行/层计数 %（基数：响应）col/row/layer responses %列/行/层响应 %col/row/layer responses % (base: count)列/行/层响应 %（基数：计数）collinearity diagnostics共线性诊断column content列内容column labels in rows行中的列标签column means are removed列均值已剔除column percentages列百分比column point plot列点图column points列点column principal主要列column profiles列简要表，列轮廓表column title justification列标题调整column title列标题column totals are equalized and means are使列总和相等，删除均值removedcolumn width列宽columns列columns variables列变量comma逗号command syntax reference指令语法参考common space公共空间common space coordinates公共空间坐标common space scatterplot公共空间散点图common variance公共方差communality公因子方差compact view压缩视图compare column means (t-tests)比较列平均值（t检验）compare column proportions (z-tests)比较列比例（z检验）compare factor比较因子compare factor levels比较因子水平compare groups比较组compare levels of first factor比较第一个因子水平compare main effects比较主效应compare means比较均值compare variables比较变量comparisons are exact比较是精确的comparisons for control variable控制变量的比较comparisons of column means列均值的比较complementary log-log补充对数-对数complete完全complete data完全数据complex sample复杂抽样complex sample plan复杂抽样计划component covariation成分共变component loading成分载荷component loadings plot成分载荷图component matrix成分矩阵component plot in rotated space旋转空间成分图component score coefficient matrix成分得分系数矩阵compound复合compute counts from data从数据计算计数compute distances计算距离compute from group sizes根据组大小计算compute variable计算变量computing time-dependent covariates计算依时协变量concentration index集中指数conditionality条件性confidence interval置信区间confidence interval adjustment置信区间调节confidence interval for exp(B)优势比估计值的置信区间confidence interval for mean均值置信区间confidence interval for the mean均值置信区间confidence interval percentage置信区间百分比confidence interval width (%)置信区间宽度(%) confidence intervals for fit values拟合值的置信区间confidence intervals for forecasts预测值的置信区间confidence level置信水平confidence statistic置信统计量configuration配置confusion matrix混乱矩阵connect连接connect cases between variables连接变量之间的个案contingency coefficient相依系数，列联系数continuous variables连续变量contrast coefficient matrix对比系数矩阵contrasts对比contrasts variable(s)对比变量contribution of dimension to inertia of point维数对点惯量的贡献率control chart控制图control package test控制包装检验control rules控制规则converge to lerance收敛容限度convergence收敛性convergence criterion收敛性标准conversion function转换函数convert numeric strings to numbers将数值字符串转换为数值Cook's distance Cook 距离coordinate坐标coordinate of the common space公共空间坐标coordinate points of the ROC Curve ROC曲线坐标点copy复制copy bins复制块copy data properties复制数据属性copy dataset复制数据集copy properties复制属性copy selected cases to a new dataset将选定个案复制到新数据集corner角注corrected item-total correlation校正的项总计相关性correlate相关correlation between variables变量间相关系数correlation coefficients相关系数correlation matrix相关性矩阵correlation matrix of parameter estimates参数估计的相关性矩阵correlation of estimates估计值的相关性correlations相关性correlations and tolerance相关性和容差correlations between transformed predictors转换预测值的相关系数correlations between untransformed predictors未转换预测值的相关系数correlations of original and transformed原始变量和转换后变量的相关性variablescorrelations of original variables原始变量的相关性correlations of transformed variables转换变量的相关性correlations original variables初始变量的相关系数correlations transformed variables已转换变量的相关系数correspondence analysis对应分析correspondence measure对应度量correspondence table对应表cosine余弦cospectral density余谱密度图count计数count duplicate responses for multiple category计算多个类别集中的重复响应setscount occurrences of values within cases计算个案内值出现次数count of continuous variables连续变量计数count values within cases对个案内的值计数counted value计数值counts measure计数度量counts or sums for groups of cases个案组的计数或和covariance协方差covariance matrix协方差矩阵covariance ratio协方差比率covariances协方差covariate patterns defined by factors and由因子和协变量定义的协变量模式covariatescovariate patterns defined by variable list由下面的变量列表定义的协变量模式belowcovariate values plotted at协变量值的位置covariates协变量Cox regression Cox回归Cox w/Time-Dep cov Cox依时协变量Cramer's V Cramer V值create a new dataset containing only the创建只包含汇总变量的新数据集aggregated variablescreate approximations创建近似值create cluster membership variable创建聚类成员变量create coefficient statistics创建系数统计create discretized data创建离散化数据create distance matrix创建距离矩阵create distances from data从数据创建距离create extension bundles创建扩展束create measure from data从数据中创建度量create new dataset创建新数据集create object scores创建对象得分create proximities from data从数据中创建近似值create time series创建时间序列create transformed variables创建已转换的变量create variables创建变量criteria标准Cronbach's alpha if item deleted项已删除的Cronbach α值cross amplitude交叉振幅图cross-correlation function, CCF交叉相关函数cross-correlations交叉相关图cross-over design交叉设计cross-product deviations and covarances叉积偏差和协方差cross-product of deviations叉积离差阵crosstabs列联（交叉）分析crossvalidation交叉验证cubic立方，三次曲线模型cum hazard累积危险率cum. % of cases累积%cum. n累积个数cum. number of cases个案的累积个数cum. percentage of cases个案的累积百分比cumulative %累积贡献率cumulative distribution function，CDF累积分布函数cumulative events累积事件cumulative hazard function累积危险度函数cumulative percentage累积百分数cumulative proportion surviving累积生存率cumulative proportion surviving at the time此时生存的累积比例cumulative sum累计求和cumulative survival累积生存率current date/time function当前日期/时间函数current periodicity当前周期current status当前状态current variable当前变量curve estimation曲线参数估计法custom设定，自定义模型custom attributes自定义属性custom configuration设定配置custom currency设定货币custom dialog builder自定义对话框构建程序custom dialogs定制对话框custom tables设定表格custom/stepwise设定/步进式customize variable view自定义变量视图cut剪切cut point割点cut points for n equal groups割点n相等组Ddamped exponential smoothing阻尼指数平滑法damped trend阻尼趋势data数据data are already sorted数据已经排序data are distances数据为距离数据data cell appearance数据单元格外观data column rows & break labels数据列行与分组标注data column variables数据列变量data file数据文件data file comments数据文件注释data format数据格式data in charts are图表中的数据为data matrix数据矩阵data organization数据组织data reduction数据简化data view数据视图dataset name数据集名称date日期date and time wizard日期和时间向导date arithmetic function日期计算函数date creation function日期创建函数date extraction function日期提取函数decimal小数decision trees决策树default缺省值define定义define clusters by定义聚类define dates定义日期define dichotomy定义二分法define event定义事件define events for status variable为状态变量定义事件define groups定义组define multiple response sets定义多重响应数据集define parameter constraint定义参数约束define population pyramid定义人口金字塔define range定义范围define range for factor定义因子范围define rules定义规则define selection rule定义选择规则define simple dot plot定义简单点图define slices by定义分区define stacked by定义堆栈define subpopulations定义子总体define validation rules定义验证规则define variable properties定义变量属性define variable sets定义变量集degree度delete all cutpoints删除所有分割点delete all labels删除所有标签delete row删除行delete unselected cases删除未选定个案deleted删除deleted residual删除残差deltaδ值dendrogram分类树状图denominator分母density密度dependent list因变量列表dependent variable因变量dependent variable transformation因变量转换dependents together不分组derivatives导数derived stimulus configuration派生激励配置图descending降序descending counts按计数降序排序descending means按均值降序排序descending values按值降序排序descriptive描述性descriptive statistics描述性统计分析descriptive statistics for variables that are已离散化变量的描述统计binneddescriptives by cluster按聚类进行描述design matrix设计矩阵destination for created values创建值的目的文件detect outliers automatically自动检测离群值determinant行列式determine automatically自动确定developer central开发者中心deviance residuals偏差残差deviance residuals plot偏差残差图deviation偏差diagnostics诊断dice骰子dichotomies二分法difference差分difference area chart差别面积图differences between groups组之间的差值differences between groups of cases个案组之间移动的差值differences between variables变量之间差值differences for summary statistics摘要统计量差值dimension reduction降维分析dimensions维数dimensions for multiple nominal多标定维数dimensions in solution解的维数direct marketing直销分析direct method直接法direct oblimin直接Oblimin方法discrete missing values离散缺失值discretization离散化discretized data离散化数据discriminant analysis判别分析discriminant scores判别得分discrimination measures辨别度量，区分测量discrimination measures plots区分测量图dispersion离散dispersion accounted for，DAF离散考虑情况dispersion scale离散度量，离散尺度display输出，显示display actual significance level显示实际显著性水平display all dimensions in the solution显示解中的所有维数display ANOVA and estimates显示ANOVA 和估计display autocorrelations at periodic lags在周期延迟处显示自相关display baseline function显示基线函数display below labels显示在标注下面display cases显示个案display casewise list显示对象删除列表display chart with case labels使用个案标签显示图表display clustered bar charts显示复式条形图display component loadings显示成分载入display covariance of parameters显示参数估计的协方差矩阵display cross-correlations at periodic lags在周期延迟处显示互相关display cumulative line显示累积线display data file information显示数据文件信息display error bars显示误差条形图display factor score coefficient matrix显示因子得分系数矩阵display for saturated model显示饱和模型display forecasts显示预测值display frequencies for created variables显示已创建变量的显示频率display frequency tables显示频率表格display groups defined by missing values显示由缺失值定义的组display means for显示均值display model information显示模型信息display normal curve显示正态曲线display on same row显示在同一行上display regularization plots显示规则化图display results显示结果display subgroups defined by missing values显示由缺失值定义的子组display summary tables显示摘要表display time intervals显示时间间隔displaying a design显示设计dissimilarities不相似性dissimilarity data相异性资料distance from cluster center与聚类中心的距离distance measure距离度量distances距离distribution分布distribution assumption分布假定distribution of cell counts单元计数分布distribution parameters分布参数distribution-free分布自由do not create不要创建do not weight cases请勿对个案加权documents文档dollar美元dot点dot plot点图download a file下载文件drop-line line chart垂直线图dual y-axis charts双y轴图Durbin-Watson test Durbin-Watson检验dynamic cluster动态聚类分析dynamic data动态数据Eeach plot displays每张图显示的内容edit编辑edit query编辑查询effect效度eigenvalue特征值eigenvalues greater than保留特征值大于elastic net弹性网络elastic net plots弹性网络图empty categories空类别empty cells空单元格endpoints for bins块的端点endpoints weighted by 0.5结束点按0.5加权ends in column结束列ends on line结束行enter in single step一步进入enter independent together强迫引入法entry probability输入可能性equal intervals相等区间equal percentiles based on scanned cases基于已扫描个案的等百分位equal to等于equal variances assumed假定方差齐性equal width intervals等宽度间隔equamax最大平衡值法error bar误差条形图error bars represent误差条图的表征estimate using r-bar使用R条估计estimate using s-bar使用S条估计estimated common inter-item correlation估计公共项目间相关性estimated from data从数据中估计estimated marginal means估算边际均值estimated odds ratio exp(B)优势比估计值estimated reliability估计可靠性estimated response probabilities估计响应概率estimates估计estimates of effect size功效估计estimates of error variance误差方差估计estimation method估计方法eta h统计量eta coefficientη系数eta squaredη2值Euclidean distance Euclidean距离events事件exact精确exact tests精确检验exclude both user-missing and system missing排除用户缺失值和系统缺失值valuesexclude cases analysis by analysis按分析顺序排除个案exclude cases listwise按列表排除个案exclude cases listwise within categories在类别内按照列表顺序排除个案exclude cases listwise within dichotomies在二分集内按照列表顺序排除个案exclude cases pairwise按对排除个案exclude cases test-by-test按检验排除个案exclude cases variable by variable按变量顺序排除个案exclude cases with missing values listwise按列表排除含有缺失值的个案exclude cut off value for positive classification排除明确分类的分界值exclude objects with missing values on this排除此变量具有缺失值的对象variableexcluded排除excluded variables已排除的变量excluding multinomial constant不包含多项常量execute the command执行此命令exit退出expected期望值expected mean squares预期均值平方expected range期望全距expected values期望值expert modeler专家建模器expert modeler considers seasonal models专家建模器考虑季节性模型explanatory解释变量explore探索性分析exponential指数exponential distribution指数分布exponential smoothing指数平滑法exponential smoothing criteria指数平滑法条件exponential smoothing model指数平滑法模型exponential smoothing models only仅限指数平滑法模型export CF tree导出CF树export final model导出最终模型export model file导出模型文件export model information to XML file将模型信息导出到XML文件export to database导出到数据库expression表达式extension bundles扩展束external file外部文件extra category附加分类extract抽取，提取extraction method提取方法FF for pairwise distances两两组间距离的F值factor因子factor analysis因子分析factor covariance matrix因子协方差矩阵factor label因子标签factor levels together按因子水平分组factor list因子列表factor loading因子载荷factor name因子名称factor score coefficient matrix因子得分系数矩阵factor(s) and factor interactions因子与因子交互factorial design析因设计factorial experiment design析因实验设计factors & covariates因子与协变量factors to extract要提取的因子fiducial confidence intervals信仰置信区间file文件file information文件信息file is already sorted文件已排序file is already sorted on break variable(s)文件已经按分组变量排序file label文件标签file name文件名filter by indicator values根据指示符的值进行筛选filter models based on goodness of fit基于拟合优度过滤模型filter out unselected cases过滤掉未选定的个案final cluster centers最终聚类中心final maximum absolute difference最终最大绝对差值find查找find next查找下一个first第一个first case is第一个个案为first category第一类别first cutpoint location第一个分割点的位置first-order controls一阶控制Fisher’s linear discriminant functions Fisher线性判别函数Fisher's exact test Fisher精确检验Fisher's function coefficient Fisher函数系数fit拟合fit measures拟合度量fit statistic拟合统计量fit values拟合值fixed固定fixed factor(s)固定因子fixed number of factors因子的固定数量fixed number of models模型的固定数量flag significant correlations标记显著性相关fonts字体for each stratum对于每层forced entry terms强制输入项forecast period预测阶段forecast values预测值forecasting预测format格式forward entry向前进入forward selection向前选择法forward stepwise向前步进fractional rank分数秩fractional rank as %%分数秩fractions分数frequencies频数frequency频率分析frequency count频数计数frequency variable频率变量Friedman chi-square Friedmanχ2Friedman test Friedman检验from another variable从另一个变量full factorial全因子full matrix满矩阵function函数function plot for density概率密度函数图function plot for hazard rate危险率函数图function plot for log survival对数生存函数图function plot for one minus survival1减生存函数图function plot for survival生存函数图function precision函数精度functions and special variables函数和特殊变量functions at group centroids组质心处的函数functions group函数组furthest neighbor最远邻元素，最长距离法GGabriel Gabriel法gain增益图gamma g统计量general estimable function一般估计函数general linear model一般线性模型general loglinear analysis一般对数线性分析generalized estimating equations广义估计方程generalized Euclidean广义欧几里德generalized Euclidean model广义Euclidean模型generalized GMDS一般多维尺度分析generalized least squares综合最小平方法generalized linear models广义线性模型generalized log-odds ratio，GLOR广义对数优势比generate生成generate orthogonal design生成正交设计generating class生成类geometric mean几何均值get counts from variable从变量获取计数get from data从数据中获取get value from earlier case(lag)从较早个案获取值（滞后）get value from later case(lead)从较晚个案获取值（提前）GLM Univariate analysis of variance GLM单变量方差分析go to case转至个案go to imputation转至归因go to variable转向变量gold standard金标准goodman and kruskal's tau Goodman与Kruskal τ统计量goodness of fit measure拟合优度测量goodness-of-fit拟合度goodness-of-fit statistics拟合优度统计量goodness-of-fit test拟合优度检验graphboard template chooser图形画板模板选择程序graphs图形greater than大于greater than or equal to大于等于grid网格grid lines网格线group membership组成员group plots组图group statistics组统计量group variable组变量grouped median组内中位数grouping分组grouping variable(s)分组变量groups based on分组方式groups of cases个案组growth增长Guttman models Guttman模型Guttman split-half reliability Guttman半分可靠性Hhalf-normal半正态分布Hampel's redescending M-estimator Hampel再降M估计值harmonic mean调和均值hazard function危险函数hazard rate危险率heat map热图help帮助hex binned scatterplot六边形离散化散点图hicicle水平冰柱图hide隐藏hierarchical cluster analysis系统聚类分析high高high proportion高比例highest dimension最高维数highest value最高值high-low charts高-低图histogram直方图Hochberg Hochberg法holdout cases延续个案数Holt's exponential smoothing Holt 指数平滑法Holt's linear trend Holt 线性趋势Homogeneity analysis, HOMALS多重对应分析homogeneity of variance test方差同质性检验homogeneity tests方差齐性检验horizontal axis水平轴Hosmer-Lemeshow goodness-of-fit Hosmer-Lemeshow 拟合度Hosmer-Lemeshow goodness-of-fit statistic Hosmer-Lemeshow 拟合优度统计量Hotelling’s trace Hotelling 轨迹Hotelling's T-Squared test Hotelling T2检验Huber's M-estimator Huber稳健最大似然估计值Iicicle冰柱图ID label width for line plots线图的标识标签宽度ID label width for scatterplots散点图的标识标签宽度identify duplicate cases标识重复个案identify points by点的标识依据identify significant differences标识显著性差异identify unusual cases标识异常个案identity恒等函数IDF, Inverse distribution function逆分布函数if condition is satisfied如果条件满足image factoring映像因子import CF Tree XML file导入CF树XML文件importance measure重要性度量improvement chi-squareχ2值增量impute missing data values归因缺失数据值impute missing values为缺失值归因in a separate table在单独表中inches英寸include all cases包括所有个案include all models in output在输出中包括所有模型include categories of包括类别include centroids包含质心include constant for dependent包含因变量常量include constant in equation在等式中包含常量include constant in model在模型中包含常数include cutoff value for positive classification包含明确分类的分界值include if case satisfies condition如果个案满足条件则包括include intercept in model在模型中包含截距include multiple response variables in tests检验中包含多重响应变量include residual plots包含残差图include the covariance matrix包含协方差矩阵included包含including multinomial constant包含多项常量indent at each break n每个分组处的缩进independence model独立模型independent variable自变量independent variable transformations自变量转换independent variables transformation plot自变量转换图independent-samples t test独立样本t检验indicate case source as variable将个案源表示为变量indicator of primary cases基本个案指示符individual cases个别个案individual chart单值控制图individual difference model，INDSCAL个别差异模型individual differences Euclidean distance个别差异Euclidean距离个别差异尺度模型individual differences scaling model，INDSCALindividual matrices for单个矩阵individual space私有空间individual space coordinates私有空间坐标individual space weight scatterplot私有空间权重散点图individual space weights私有空间权重individual spaces scatterplot私有空间散点图individual subject plots个别主题图individuals个体individuals and moving range个体和移动全距individuals, moving control chart单值、移动极差控制图inertia惯量infinite step size无限步长influence影响information criteria信息标准initial最初initial cluster centers初始聚类中心initial configuration初始配置initial distance change threshold初始距离更改阈值initial eigenvalues初始特征值initial solution原始分析结果innovational创新的input data输入数据input variable输入变量insert case插入个案insert variable插入变量inside内部install custom dialog安装自定义对话框install extension bundles安装扩展束。

SPSS-CHINESE（SPSS的词汇中文翻译）

SPSS-CHINESE（SPSS的词汇中文翻译）SPSS词汇(中英文对照)Absolute deviation, 绝对离差Absolute number, 绝对数Absolute residuals, 绝对残差Acceleration array, 加速度立体阵Acceleration in an arbitrary direction, 任意方向上的加速度Acceleration normal, 法向加速度Acceleration space dimension, 加速度空间的维数Acceleration tangential, 切向加速度Acceleration vector, 加速度向量Acceptable hypothesis, 可接受假设Accumulation, 累积Accuracy, 准确度Actual frequency, 实际频数Adaptive estimator, 自适应估计量Addition, 相加Addition theorem, 加法定理Additivity, 可加性Adjusted rate, 调整率Adjusted value, 校正值Admissible error, 容许误差Aggregation, 聚集性Alternative hypothesis, 备择假设Among groups, 组间Amounts, 总量Analysis of correlation, 相关分析Analysis of covariance, 协方差分析Analysis of regression, 回归分析Analysis of time series, 时间序列分析Analysis of variance, 方差分析Angular transformation, 角转换ANOV A （analysis of variance）, 方差分析ANOV A Models, 方差分析模型Arcing, 弧/弧旋Arcsine transformation, 反正弦变换Area under the curve, 曲线面积AREG , 评估从一个时间点到下一个时间点回归相关时的误差ARIMA, 季节和非季节性单变量模型的极大似然估计Arithmetic grid paper, 算术格纸Arithmetic mean, 算术平均数Arrhenius relation, 艾恩尼斯关系Assessing fit, 拟合的评估Associative laws, 结合律Asymmetric distribution, 非对称分布Asymptotic bias, 渐近偏倚Asymptotic efficiency, 渐近效率Asymptotic variance, 渐近方差Attributable risk, 归因危险度Attribute data, 属性资料Attribution, 属性Autocorrelation, 自相关Autocorrelation of residuals, 残差的自相关Average, 平均数Average confidence interval length, 平均置信区间长度Average growth rate, 平均增长率Bar chart, 条形图Bar graph, 条形图Base period, 基期Bayes' theorem , Bayes定理Bell-shaped curve, 钟形曲线Bernoulli distribution, 伯努力分布Best-trim estimator, 最好切尾估计量Bias, 偏性Binary logistic regression, 二元逻辑斯蒂回归Binomial distribution, 二项分布Bisquare, 双平方Bivariate Correlate, 二变量相关Bivariate normal distribution, 双变量正态分布Bivariate normal population, 双变量正态总体Biweight interval, 双权区间Biweight M-estimator, 双权M估计量Block, 区组/配伍组BMDP(Biomedical computer programs), BMDP统计软件包Boxplots, 箱线图/箱尾图Breakdown bound, 崩溃界/崩溃点Canonical correlation, 典型相关Caption, 纵标目Case-control study, 病例对照研究Categorical variable, 分类变量Catenary, 悬链线Cauchy distribution, 柯西分布Cause-and-effect relationship, 因果关系Cell, 单元Censoring, 终检Center of symmetry, 对称中心Centering and scaling, 中心化和定标Central tendency, 集中趋势Central value, 中心值CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测Chance, 机遇Chance error, 随机误差Chance variable, 随机变量Characteristic equation, 特征方程Characteristic root, 特征根Characteristic vector, 特征向量Chebshev criterion of fit, 拟合的切比雪夫准则Chernoff faces, 切尔诺夫脸谱图Chi-square test, 卡方检验/χ2检验Choleskey decomposition, 乔洛斯基分解Circle chart, 圆图Class interval, 组距Class mid-value, 组中值Class upper limit, 组上限Classified variable, 分类变量Cluster analysis, 聚类分析Cluster sampling, 整群抽样Code, 代码Coded data, 编码数据Coding, 编码Coefficient of contingency, 列联系数Coefficient of determination, 决定系数Coefficient of multiple correlation, 多重相关系数Coefficient of partial correlation, 偏相关系数Coefficient of production-moment correlation, 积差相关系数Coefficient of rank correlation, 等级相关系数Coefficient of regression, 回归系数Coefficient of skewness, 偏度系数Coefficient of variation, 变异系数Cohort study, 队列研究Column, 列Column effect, 列效应Column factor, 列因素Combination pool, 合并Combinative table, 组合表Common factor, 共性因子Common regression coefficient, 公共回归系数Common value, 共同值Common variance, 公共方差Common variation, 公共变异Communality variance, 共性方差Comparability, 可比性Comparison of bathes, 批比较Comparison value, 比较值Compartment model, 分部模型Compassion, 伸缩Complement of an event, 补事件Complete association, 完全正相关Complete dissociation, 完全不相关Complete statistics, 完备统计量Completely randomized design, 完全随机化设计Composite event, 联合事件Composite events, 复合事件Concavity, 凹性Conditional expectation, 条件期望Conditional likelihood, 条件似然Conditional probability, 条件概率Conditionally linear, 依条件线性Confidence interval, 置信区间Confidence limit, 置信限Confidence lower limit, 置信下限Confidence upper limit, 置信上限Confirmatory Factor Analysis , 验证性因子分析Confirmatory research, 证实性实验研究Confounding factor, 混杂因素Conjoint, 联合分析Consistency, 相合性Consistency check, 一致性检验Consistent asymptotically normal estimate, 相合渐近正态估计Consistent estimate, 相合估计Constrained nonlinear regression, 受约束非线性回归Constraint, 约束Contaminated distribution, 污染分布Contaminated Gausssian, 污染高斯分布Contaminated normal distribution, 污染正态分布Contamination, 污染Contamination model, 污染模型Contingency table, 列联表Contour, 边界线Contribution rate, 贡献率Control, 对照Controlled experiments, 对照实验Conventional depth, 常规深度Convolution, 卷积Corrected factor, 校正因子Corrected mean, 校正均值Correction coefficient, 校正系数Correctness, 正确性Correlation coefficient, 相关系数Correlation index, 相关指数Correspondence, 对应Counting, 计数Counts, 计数/频数Covariance, 协方差Covariant, 共变Cox Regression, Cox回归Criteria for fitting, 拟合准则Criteria of least squares, 最小二乘准则Critical ratio, 临界比Critical region, 拒绝域Critical value, 临界值Cross-over design, 交叉设计Cross-section analysis, 横断面分析Cross-section survey, 横断面调查Crosstabs , 交叉表Cross-tabulation table, 复合表Cube root, 立方根Cumulative distribution function, 分布函数Cumulative probability, 累计概率Curvature, 曲率/弯曲Curvature, 曲率Curve fit , 曲线拟和Curve fitting, 曲线拟合Curvilinear regression, 曲线回归Curvilinear relation, 曲线关系Cut-and-try method, 尝试法Cycle, 周期Cyclist, 周期性D test, D检验Data acquisition, 资料收集Data bank, 数据库Data capacity, 数据容量Data deficiencies, 数据缺乏Data handling, 数据处理Data manipulation, 数据处理Data processing, 数据处理Data reduction, 数据缩减Data set, 数据集Data sources, 数据来源Data transformation, 数据变换Data validity, 数据有效性Data-in, 数据输入Data-out, 数据输出Dead time, 停滞期Degree of freedom, 自由度Degree of precision, 精密度Degree of reliability, 可靠性程度Degression, 递减Density function, 密度函数Density of data points, 数据点的密度Dependent variable, 应变量/依变量/因变量Dependent variable, 因变量Depth, 深度Derivative matrix, 导数矩阵Derivative-free methods, 无导数方法Design, 设计Determinacy, 确定性Determinant, 行列式Determinant, 决定因素Deviation, 离差Deviation from average, 离均差Diagnostic plot, 诊断图Dichotomous variable, 二分变量Differential equation, 微分方程Direct standardization, 直接标准化法Discrete variable, 离散型变量DISCRIMINANT, 判断Discriminant analysis, 判别分析Discriminant coefficient, 判别系数Discriminant function, 判别值Dispersion, 散布/分散度Disproportional, 不成比例的Disproportionate sub-class numbers, 不成比例次级组含量Distribution free, 分布无关性/免分布Distribution shape, 分布形状Distribution-free method, 任意分布法Distributive laws, 分配律Disturbance, 随机扰动项Dose response curve, 剂量反应曲线Double blind method, 双盲法Double blind trial, 双盲试验Double exponential distribution, 双指数分布Double logarithmic, 双对数Downward rank, 降秩Dual-space plot, 对偶空间图DUD, 无导数方法Duncan's new multiple range method, 新复极差法/Duncan新法Effect, 实验效应Eigenvalue, 特征值Eigenvector, 特征向量Ellipse, 椭圆Empirical distribution, 经验分布Empirical probability, 经验概率单位Enumeration data, 计数资料Equal sun-class number, 相等次级组含量Equally likely, 等可能Equivariance, 同变性Error, 误差/错误Error of estimate, 估计误差Error type I, 第一类错误Error type II, 第二类错误Estimand, 被估量Estimated error mean squares, 估计误差均方Estimated error sum of squares, 估计误差平方和Euclidean distance, 欧式距离Event, 事件Event, 事件Exceptional data point, 异常数据点Expectation plane, 期望平面Expectation surface, 期望曲面Expected values, 期望值Experiment, 实验Experimental sampling, 试验抽样Experimental unit, 试验单位Explanatory variable, 说明变量Exploratory data analysis, 探索性数据分析Explore Summarize, 探索-摘要Exponential curve, 指数曲线Exponential growth, 指数式增长EXSMOOTH, 指数平滑方法Extended fit, 扩充拟合Extra parameter, 附加参数Extrapolation, 外推法Extreme observation, 末端观测值Extremes, 极端值/极值F distribution, F分布F test, F检验Factor, 因素/因子Factor analysis, 因子分析Factor Analysis, 因子分析Factor score, 因子得分Factorial, 阶乘Factorial design, 析因试验设计False negative, 假阴性False negative error, 假阴性错误Family of distributions, 分布族Family of estimators, 估计量族Fanning, 扇面Fatality rate, 病死率Field investigation, 现场调查Field survey, 现场调查Finite population, 有限总体Finite-sample, 有限样本First derivative, 一阶导数First principal component, 第一主成分First quartile, 第一四分位数Fisher information, 费雪信息量Fitted value, 拟合值Fitting a curve, 曲线拟合Fixed base, 定基Fluctuation, 随机起伏Forecast, 预测Four fold table, 四格表Fourth, 四分点Fraction blow, 左侧比率Fractional error, 相对误差Frequency, 频率Frequency polygon, 频数多边图Frontier point, 界限点Function relationship, 泛函关系Gamma distribution, 伽玛分布Gauss increment, 高斯增量Gaussian distribution, 高斯分布/正态分布Gauss-Newton increment, 高斯-牛顿增量General census, 全面普查GENLOG (Generalized liner models), 广义线性模型Geometric mean, 几何平均数Gini's mean difference, 基尼均差GLM (General liner models), 一般线性模型Goodness of fit, 拟和优度/配合度Gradient of determinant, 行列式的梯度Graeco-Latin square, 希腊拉丁方Grand mean, 总均值Gross errors, 重大错误Gross-error sensitivity, 大错敏感度Group averages, 分组平均Grouped data, 分组资料Guessed mean, 假定平均数Half-life, 半衰期Hampel M-estimators, 汉佩尔M估计量Happenstance, 偶然事件Harmonic mean, 调和均数Hazard function, 风险均数Hazard rate, 风险率Heading, 标目Heavy-tailed distribution, 重尾分布Hessian array, 海森立体阵Heterogeneity, 不同质Heterogeneity of variance, 方差不齐Hierarchical classification, 组内分组Hierarchical clustering method, 系统聚类法High-leverage point, 高杠杆率点HILOGLINEAR, 多维列联表的层次对数线性模型Hinge, 折叶点Histogram, 直方图Historical cohort study, 历史性队列研究Holes, 空洞HOMALS, 多重响应分析Homogeneity of variance, 方差齐性Homogeneity test, 齐性检验Huber M-estimators, 休伯M估计量Hyperbola, 双曲线Hypothesis testing, 假设检验Hypothetical universe, 假设总体Impossible event, 不可能事件Independence, 独立性Independent variable, 自变量Index, 指标/指数Indirect standardization, 间接标准化法Individual, 个体Inference band, 推断带Infinite population, 无限总体Infinitely great, 无穷大Infinitely small, 无穷小Influence curve, 影响曲线Information capacity, 信息容量Initial condition, 初始条件Initial estimate, 初始估计值Initial level, 最初水平Interaction, 交互作用Interaction terms, 交互作用项Intercept, 截距Interpolation, 内插法Interquartile range, 四分位距Interval estimation, 区间估计Intervals of equal probability, 等概率区间Intrinsic curvature, 固有曲率Invariance, 不变性Inverse matrix, 逆矩阵Inverse probability, 逆概率Inverse sine transformation, 反正弦变换Iteration, 迭代Jacobian determinant, 雅可比行列式Joint distribution function, 分布函数Joint probability, 联合概率Joint probability distribution, 联合概率分布K means method, 逐步聚类法Kaplan-Meier, 评估事件的时间长度Kaplan-Merier chart, Kaplan-Merier图Kendall's rank correlation, Kendall等级相关Kinetic, 动力学Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验Kurtosis, 峰度Lack of fit, 失拟Ladder of powers, 幂阶梯Lag, 滞后Large sample, 大样本Large sample test, 大样本检验Latin square, 拉丁方Latin square design, 拉丁方设计Leakage, 泄漏Least favorable configuration, 最不利构形Least favorable distribution, 最不利分布Least significant difference, 最小显著差法Least square method, 最小二乘法Least-absolute-residuals estimates, 最小绝对残差估计Least-absolute-residuals fit, 最小绝对残差拟合Least-absolute-residuals line, 最小绝对残差线Legend, 图例L-estimator, L估计量L-estimator of location, 位置L估计量L-estimator of scale, 尺度L估计量Level, 水平Life expectance, 预期期望寿命Life table, 寿命表Life table method, 生命表法Light-tailed distribution, 轻尾分布Likelihood function, 似然函数Likelihood ratio, 似然比line graph, 线图Linear correlation, 直线相关Linear equation, 线性方程Linear programming, 线性规划Linear regression, 直线回归Linear Regression, 线性回归Linear trend, 线性趋势Loading, 载荷Location and scale equivariance, 位置尺度同变性Location equivariance, 位置同变性Location invariance, 位置不变性Location scale family, 位置尺度族Log rank test, 时序检验Logarithmic curve, 对数曲线Logarithmic normal distribution, 对数正态分布Logarithmic scale, 对数尺度Logarithmic transformation, 对数变换Logic check, 逻辑检查Logistic distribution, 逻辑斯特分布Logit transformation, Logit转换LOGLINEAR, 多维列联表通用模型Lognormal distribution, 对数正态分布Lost function, 损失函数Low correlation, 低度相关Lower limit, 下限Lowest-attained variance, 最小可达方差LSD, 最小显著差法的简称Lurking variable, 潜在变量Main effect, 主效应Major heading, 主辞标目Marginal density function, 边缘密度函数Marginal probability, 边缘概率Marginal probability distribution, 边缘概率分布Matched data, 配对资料Matched distribution, 匹配过分布Matching of distribution, 分布的匹配Matching of transformation, 变换的匹配Mathematical expectation, 数学期望Mathematical model, 数学模型Maximum L-estimator, 极大极小L 估计量Maximum likelihood method, 最大似然法Mean, 均数Mean squares between groups, 组间均方Mean squares within group, 组内均方Means (Compare means), 均值-均值比较Median, 中位数Median effective dose, 半数效量Median lethal dose, 半数致死量Median polish, 中位数平滑Median test, 中位数检验Minimal sufficient statistic, 最小充分统计量Minimum distance estimation, 最小距离估计Minimum effective dose, 最小有效量Minimum lethal dose, 最小致死量Minimum variance estimator, 最小方差估计量MINITAB, 统计软件包Minor heading, 宾词标目Missing data, 缺失值Model specification, 模型的确定Modeling Statistics , 模型统计Models for outliers, 离群值模型Modifying the model, 模型的修正Modulus of continuity, 连续性模Morbidity, 发病率Most favorable configuration, 最有利构形Multidimensional Scaling (ASCAL), 多维尺度/多维标度Multinomial Logistic Regression , 多项逻辑斯蒂回归Multiple comparison, 多重比较Multiple correlation , 复相关Multiple covariance, 多元协方差Multiple linear regression, 多元线性回归Multiple response , 多重选项Multiple solutions, 多解Multiplication theorem, 乘法定理Multiresponse, 多元响应Multi-stage sampling, 多阶段抽样Multivariate T distribution, 多元T分布Mutual exclusive, 互不相容Mutual independence, 互相独立Natural boundary, 自然边界Natural dead, 自然死亡Natural zero, 自然零Negative correlation, 负相关Negative linear correlation, 负线性相关Negatively skewed, 负偏Newman-Keuls method, q检验NK method, q检验No statistical significance, 无统计意义Nominal variable, 名义变量Nonconstancy of variability, 变异的非定常性Nonlinear regression, 非线性相关Nonparametric statistics, 非参数统计Nonparametric test, 非参数检验Nonparametric tests, 非参数检验Normal deviate, 正态离差Normal distribution, 正态分布Normal equation, 正规方程组Normal ranges, 正常范围Normal value, 正常值Nuisance parameter, 多余参数/讨厌参数Null hypothesis, 无效假设Numerical variable, 数值变量Objective function, 目标函数Observation unit, 观察单位Observed value, 观察值One sided test, 单侧检验One-way analysis of variance, 单因素方差分析Oneway ANOV A , 单因素方差分析Open sequential trial, 开放型序贯设计Optrim, 优切尾Optrim efficiency, 优切尾效率Order statistics, 顺序统计量Ordered categories, 有序分类Ordinal logistic regression , 序数逻辑斯蒂回归Ordinal variable, 有序变量Orthogonal basis, 正交基Orthogonal design, 正交试验设计Orthogonality conditions, 正交条件ORTHOPLAN, 正交设计Outlier cutoffs, 离群值截断点Outliers, 极端值OVERALS , 多组变量的非线性正规相关Overshoot, 迭代过度Paired design, 配对设计Paired sample, 配对样本Pairwise slopes, 成对斜率Parabola, 抛物线Parallel tests, 平行试验Parameter, 参数Parametric statistics, 参数统计Parametric test, 参数检验Partial correlation, 偏相关Partial regression, 偏回归Partial sorting, 偏排序Partials residuals, 偏残差Pattern, 模式Pearson curves, 皮尔逊曲线Peeling, 退层Percent bar graph, 百分条形图Percentage, 百分比Percentile, 百分位数Percentile curves, 百分位曲线Periodicity, 周期性Permutation, 排列P-estimator, P估计量Pie graph, 饼图Pitman estimator, 皮特曼估计量Pivot, 枢轴量Planar, 平坦Planar assumption, 平面的假设PLANCARDS, 生成试验的计划卡Point estimation, 点估计Poisson distribution, 泊松分布Polishing, 平滑Polled standard deviation, 合并标准差Polled variance, 合并方差Polygon, 多边图Polynomial, 多项式Polynomial curve, 多项式曲线Population, 总体Population attributable risk, 人群归因危险度Positive correlation, 正相关Positively skewed, 正偏Posterior distribution, 后验分布Power of a test, 检验效能Precision, 精密度Predicted value, 预测值Preliminary analysis, 预备性分析Principal component analysis, 主成分分析Prior distribution, 先验分布Prior probability, 先验概率Probabilistic model, 概率模型probability, 概率Probability density, 概率密度Product moment, 乘积矩/协方差Profile trace, 截面迹图Proportion, 比/构成比Proportion allocation in stratified random sampling, 按比例分层随机抽样Proportionate, 成比例Proportionate sub-class numbers, 成比例次级组含量Prospective study, 前瞻性调查Proximities, 亲近性Pseudo F test, 近似F检验Pseudo model, 近似模型Pseudosigma, 伪标准差Purposive sampling, 有目的抽样QR decomposition, QR分解Quadratic approximation, 二次近似Qualitative classification, 属性分类Qualitative method, 定性方法Quantile-quantile plot, 分位数-分位数图/Q-Q图Quantitative analysis, 定量分析Quartile, 四分位数Quick Cluster, 快速聚类Radix sort, 基数排序Random allocation, 随机化分组Random blocks design, 随机区组设计Random event, 随机事件Randomization, 随机化Range, 极差/全距Rank correlation, 等级相关Rank sum test, 秩和检验Rank test, 秩检验Ranked data, 等级资料Rate, 比率Ratio, 比例Raw data, 原始资料Raw residual, 原始残差Rayleigh's test, 雷氏检验Rayleigh's Z, 雷氏Z值Reciprocal, 倒数Reciprocal transformation, 倒数变换Recording, 记录Redescending estimators, 回降估计量Reducing dimensions, 降维Re-expression, 重新表达Reference set, 标准组Region of acceptance, 接受域Regression coefficient, 回归系数Regression sum of square, 回归平方和Rejection point, 拒绝点Relative dispersion, 相对离散度Relative number, 相对数Reliability, 可靠性Reparametrization, 重新设置参数Replication, 重复Report Summaries, 报告摘要Residual sum of square, 剩余平方和Resistance, 耐抗性Resistant line, 耐抗线Resistant technique, 耐抗技术R-estimator of location, 位置R估计量R-estimator of scale, 尺度R估计量Retrospective study, 回顾性调查Ridge trace, 岭迹Ridit analysis, Ridit分析Rotation, 旋转Rounding, 舍入Row, 行Row effects, 行效应Row factor, 行因素RXC table, RXC表Sample, 样本Sample regression coefficient, 样本回归系数Sample size, 样本量Sample standard deviation, 样本标准差Sampling error, 抽样误差SAS(Statistical analysis system ), SAS统计软件包Scale, 尺度/量表Scatter diagram, 散点图Schematic plot, 示意图/简图Score test, 计分检验Screening, 筛检SEASON, 季节分析Second derivative, 二阶导数Second principal component, 第二主成分SEM (Structural equation modeling), 结构化方程模型Semi-logarithmic graph, 半对数图Semi-logarithmic paper, 半对数格纸Sensitivity curve, 敏感度曲线Sequential analysis, 贯序分析Sequential data set, 顺序数据集Sequential design, 贯序设计Sequential method, 贯序法Sequential test, 贯序检验法Serial tests, 系列试验Short-cut method, 简捷法Sigmoid curve, S形曲线Sign function, 正负号函数Sign test, 符号检验Signed rank, 符号秩Significance test, 显著性检验Significant figure, 有效数字Simple cluster sampling, 简单整群抽样Simple correlation, 简单相关Simple random sampling, 简单随机抽样Simple regression, 简单回归simple table, 简单表Sine estimator, 正弦估计量Single-valued estimate, 单值估计Singular matrix, 奇异矩阵Skewed distribution, 偏斜分布Skewness, 偏度Slash distribution, 斜线分布Slope, 斜率Smirnov test, 斯米尔诺夫检验Source of variation, 变异来源Spearman rank correlation, 斯皮尔曼等级相关Specific factor, 特殊因子Specific factor variance, 特殊因子方差Spectra , 频谱Spherical distribution, 球型正态分布Spread, 展布SPSS(Statistical package for the social science), SPSS统计软件包Spurious correlation, 假性相关Square root transformation, 平方根变换Stabilizing variance, 稳定方差Standard deviation, 标准差Standard error, 标准误Standard error of difference, 差别的标准误Standard error of estimate, 标准估计误差Standard error of rate, 率的标准误Standard normal distribution, 标准正态分布Standardization, 标准化Starting value, 起始值Statistic, 统计量Statistical control, 统计控制Statistical graph, 统计图Statistical inference, 统计推断Statistical table, 统计表Steepest descent, 最速下降法Stem and leaf display, 茎叶图Step factor, 步长因子Stepwise regression, 逐步回归Storage, 存Strata, 层（复数）Stratified sampling, 分层抽样Stratified sampling, 分层抽样Strength, 强度Stringency, 严密性Structural relationship, 结构关系Studentized residual, 学生化残差/t化残差Sub-class numbers, 次级组含量Subdividing, 分割Sufficient statistic, 充分统计量Sum of products, 积和Sum of squares, 离差平方和Sum of squares about regression, 回归平方和Sum of squares between groups, 组间平方和Sum of squares of partial regression, 偏回归平方和Sure event, 必然事件Survey, 调查Survival, 生存分析Survival rate, 生存率Suspended root gram, 悬吊根图Symmetry, 对称Systematic error, 系统误差Systematic sampling, 系统抽样Tags, 标签Tail area, 尾部面积Tail length, 尾长Tail weight, 尾重Tangent line, 切线Target distribution, 目标分布Taylor series, 泰勒级数Tendency of dispersion, 离散趋势Testing of hypotheses, 假设检验Theoretical frequency, 理论频数Time series, 时间序列Tolerance interval, 容忍区间Tolerance lower limit, 容忍下限Tolerance upper limit, 容忍上限Torsion, 扰率Total sum of square, 总平方和Total variation, 总变异Transformation, 转换Treatment, 处理Trend, 趋势Trend of percentage, 百分比趋势Trial, 试验Trial and error method, 试错法Tuning constant, 细调常数Two sided test, 双向检验Two-stage least squares, 二阶最小平方Two-stage sampling, 二阶段抽样Two-tailed test, 双侧检验Two-way analysis of variance, 双因素方差分析Two-way table, 双向表Type I error, 一类错误/α错误Type II error, 二类错误/β错误UMVU, 方差一致最小无偏估计简称Unbiased estimate, 无偏估计Unconstrained nonlinear regression , 无约束非线性回归Unequal subclass number, 不等次级组含量Ungrouped data, 不分组资料Uniform coordinate, 均匀坐标Uniform distribution, 均匀分布Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计Unit, 单元Unordered categories, 无序分类Upper limit, 上限Upward rank, 升秩V ague concept, 模糊概念V alidity, 有效性V ARCOMP (V ariance component estimation), 方差元素估计V ariability, 变异性。

SPSS术语中英文对照

【常用软件】SPSS 术语中英文对照第菜单项(下拉菜单)SPSS的统计分析过程均包含在Analysis菜单中。

我们只学以下两大分析过程: Descriptive Statistics （描述性统计）和Multiple Response （多选项分析）。

Descriptive Statistics （描述性统计）包含的分析功能：1.Frequencies过程：主要用于统计指定变量各变量值的频次（Frequency）、百分比（Percent ）。

2.Descriptives过程：主要用于计算指定变量的均值（Mean）、标准差（Std.Deviation ）o3.Crosstabs过程：主要用于两个或两个以上变量的交叉分类。

Multiple Response （多选项分析）的分析功能：1.Define Set过程：该过程定义一个由多选项组成的多响应变量。

2.Frequencies过程：该过程对定义的多响应变量提供一个频数表。

3.Crosstabs过程：该过程提供所定义的多响应变量与其他变量的交叉分类表。

Absolute deviation,绝对离差Absolute number,绝对数Absolute residuals,绝对残差Acceleration array,加速度立体阵Acceleration in an arbitrary direction,任意方向上的力□速度Acceleration normal,法向力口速度Acceleration space dimension,加速度空间的维数Acceleration tangential,切向加速度Acceleration vector,力口速度向量Acceptable hypothesis,可接受假设Accumulation,累积Accuracy,准确度Actual frequency,实际频数Adaptive estimator,自适应估计量Addition,相力口Addition theorem,加法定理Additivity,可加性Adjusted rate,调整率Adjusted value,校正值Admissible error,容许误差Aggregation,聚集性Alternative hypothesis,备择假设Among groups,组间Amounts,总量Analysis of correlation,相关分析Analysis of covariance,协方差分析Analysis of regression,回归分析Analysis of time series,时间序歹列分析Analysis of variance,方差分析Angular transformation,角转换ANOVA (analysis of variance),方差分析ANOVA Models,方差分析模型Arcing,弧/弧旋Arcsine transformation,反正弦变换Area under the curve,曲线面积AREG ,评估从一个时间点到下一个时间点回归相关时的误差ARIMA,季节和非季节性单变量模型的极大似然估计Arithmetic grid paper,算术格纸Arithmetic mean,算术平均数Arrhenius relation,艾恩尼斯关系Assessing fit,拟合的评估Associative laws,结合律Asymmetric distribution,非对称分布Asymptotic bias,渐近偏倚Asymptotic efficiency,渐近效率Asymptotic variance,渐近方差Attributable risk,归因危险度Attribute data,属性资料Attribution,属性Autocorrelation,自相关Autocorrelation of residuals,残差的自相关Average,平均数Average confidence interval length,平均置信区间长度Average growth rate,平均增长率Bar chart,条形图Bar graph,条形图Base period,基期Bayes' theorem , Baye定理Bell-shaped curve,钟形曲线Bernoulli distribution,伯努力分布Best-trim estimator,最好切尾估计量Bias,偏性Binary logistic regression,二元逻辑斯蒂回归Binomial distribution,二项分布Bisquare,双平方Bivariate Correlate,二变量相关Bivariate normal distribution,双变量正态分布Bivariate normal population,双变量正态总体Biweight interval,双权区间Biweight M-estimator,双权M 估计量Block,区组/配伍组BMDP(Biomedical computer programs), BMDP 统计软件包Boxplots,箱线图/箱尾图Breakdown bound,崩溃界/崩溃点Canonical correlation,典型相关Caption,纵标目Case-control study,病例对照研究Categorical variable,分类变量Catenary,悬链线Cauchy distribution,柯西分布Cause-and-effect relationship,因果关系Cell,单元Censoring,终检Center of symmetry,对称中心Centering and scaling,中心化和定标Central tendency,集中趋势Central value,中心值CHAID -x2 Automatic Interaction Detector,卡方自动交互检测Chance,机遇Chance error,随机误差Chance variable,随机变量Characteristic equation,特征方程Characteristic root,特征根Characteristic vector,特征向量Chebshev criterion of fit,拟合的切比雪夫准则Chernoff faces,切尔诺夫脸谱图Chi-square test,卡方检验仪2检验Choleskey decomposition,乔洛斯基分解Circle chart,圆图Class interval,组距Class mid-value,组中值Class upper limit,组上限Classified variable,分类变量Cluster analysis,聚类分析Cluster sampling,整群抽样Code,代码Coded data,编码数据Coding,编码Coefficient of contingency,歹列联系数Coefficient of determination,决定系数Coefficient of multiple correlation,多重相关系数Coefficient of partial correlation,偏相关系数Coefficient of production-moment correlation,积差相关系数Coefficient of rank correlation,等级相关系数Coefficient of regression,回归系数Coefficient of skewness,偏度系数Coefficient of variation,变异系数Cohort study,队列研究Column,列Column effect,列效应Column factor,列因素Combination pool,合并Combinative table,组合表Common factor,共性因子Common regression coefficient,公共回归系数Common value,共同值Common variance,公共方差Common variation, 公共变异Communality variance, 共性方差Comparability,可比性Comparison of bathes,扑匕比较Comparison value,比较值Compartment model,分部模型Compassion,伸缩Complement of an event,补事件Complete association,完全正相关Complete dissociation,完全不相关Complete statistics,完备统计量Completely randomized design,完全随机化设计Composite event,联合事件Composite events,复合事件Concavity,凹性Conditional expectation,条件期望Conditional likelihood,条件似然Conditional probability,条件概率Conditionally linear,依条件线性Confidence interval,置信区间Confidence limit,置信限Confidence lower limit,置信下限Confidence upper limit,置信上限Confirmatory Factor Analysis ,验证性因子分析Confirmatory research,证实性实验研究Confounding factor,混杂因素Conjoint,联合分析Consistency,相合性Consistency check, 一致性检验Consistent asymptotically normal estimate,相合渐近正态估计Consistent estimate,相合估计Constrained nonlinear regression,受约束非线性回归Constraint,约束Contaminated distribution,污染分布Contaminated Gausssian,污染高斯分布Contaminated normal distribution,污染正态分布Contamination,污染Contamination model,污染模型Contingency table,列联表Contour,边界线Contribution rate,贡献率Control,对照Controlled experiments,对照实验Conventional depth,常规深度Convolution,卷积Corrected factor,校正因子Corrected mean,校正均值Correction coefficient,校正系数Correctness,正确性Correlation coefficient,相关系数Correlation index,相关指数Correspondence,对应Counting,计数Counts,计数/频数Covariance,协方差Covariant,共变Cox Regression, Cox 回归Criteria for fitting,拟合准则Criteria of least squares,最小二乘准则Critical ratio,临界比Critical region,拒绝域Critical value,临界值Cross-over design,交叉设计Cross-section analysis,横断面分析Cross-section survey,横断面调查Crosstabs ,交叉表Cross-tabulation table,复合表Cube root,立方根Cumulative distribution function,分布函数Cumulative probability,累计概率Curvature,曲率/弯曲Curvature,曲率Curve fit ,曲线拟和Curve fitting,曲线拟合Curvilinear regression,曲线回归Curvilinear relation,曲线关系Cut-and-try method,尝试法Cycle,周期Cyclist,周期性D test, D 检验Data acquisition,资料收集Data bank,数据库Data capacity,数据容量Data deficiencies,数据缺乏Data handling,数据处理Data manipulation,数据处理Data processing,数据处理Data reduction,数据缩减Data set,数据集Data sources,数据来源Data transformation,数据变换Data validity,数据有效性Data-in,数据输入Data-out,数据输出Dead time,停滞期Degree of freedom,自由度Degree of precision,精密度Degree of reliability,可靠性程度Degression,递减Density function,密度函数Density of data points,数据点的密度Dependent variable,应变量/依变量/因变量Dependent variable,因变量Depth,深度Derivative matrix,导数矩阵Derivative-free methods,无导数方法Design,设计Determinacy,确定性Determinant,行列式Determinant,决定因素Deviation,离差Deviation from average,离均差Diagnostic plot,诊断图Dichotomous variable,二分变量Differential equation,微分方程Direct standardization,直接标准化法Discrete variable,离散型变量DISCRIMINANT,判断Discriminant analysis,判别分析Discriminant coefficient,判别系数Discriminant function,判别值Dispersion,散布/分散度Disproportional,不成比例的Disproportionate sub-class numbers,不成比例次级组含量Distribution free,分布无关性/免分布Distribution shape,分布形状Distribution-free method,任意分布法Distributive laws,分配律Disturbance,随机扰动项Dose response curve,剂量反应曲线Double blind method,双盲法Double blind trial,双盲试验Double exponential distribution,双指数分布Double logarithmic,双对数Downward rank,降秩Dual-space plot,对偶空间图DUD,无导数方法Duncan's new multiple range method,复极差法/Duncan 新法Effect,实验效应Eigenvalue,特征值Eigenvector,特征向量日lipse,椭圆Empirical distribution,经验分布Empirical probability,经验概率单位Enumeration data,计数资料Equal sun-class number,相等次级组含量Equally likely,等可能Equivariance,同变性Error,误差/错误Error of estimate,估计误差Error type I,第一类错误Error type II,第二类错误Estimand,被估量Estimated error mean squares,估计误差均方Estimated error sum of squares,估计误差平方和Euclidean distance,欧式距离Event,事件Event,事件Exceptional data point,异常数据点Expectation plane,期望平面Expectation surface,期望曲面Expected values,期望值Experiment,实验Experimental sampling,试验抽样Experimental unit,试验单位Explanatory variable,说明变量Exploratory data analysis,探索性数据分析Explore Summarize,探索-摘要Exponential curve,指数曲线Exponential growth,指数式增长EXSMOOTH,指数平滑方法Extended fit,扩充拟合Extra parameter,附力口参数Extrapolation,夕卜推法Extreme observation,末端观测值Extremes,极端值/极值F distribution, F 分布F test, F 检验Factor,因素/因子Factor analysis,因子分析Factor Analysis,因子分析Factor score,因子得分Factorial,阶乘Factorial design,析因试验设计False negative,假阴性False negative error,假阴性错误Family of distributions,分布族Family of estimators,估计量族Fanning,扇面Fatality rate,病死率Field investigation,现场调查Field survey,现场调查Finite population,有限总体Finite-sample,有限样本First derivative, 一阶导数First principal component,第一主成分First quartile,第一四分位数Fisher information,费雪信息量Fitted value,拟合值Fitting a curve,曲线拟合Fixed base,定基Fluctuation,随机起伏Forecast,预测Four fold table,四格表Fourth,四分点Fraction blow,左侧比率Fractional error,相对误差Frequency,频率Frequency polygon,频数多边图Frontier point,界限点Function relationship,泛函关系Gamma distribution,伽玛分布Gauss increment,高斯增量Gaussian distribution,高斯分布/正态分布Gauss-Newton increment,高斯-牛顿增量General census,全面普查GENLOG (Generalized liner models),广义线性模型Geometric mean,几何平均数Gini's mean differenc基尼均差GLM (General liner models), 一般线性模型Goodness of fit,拟和优度/配合度Gradient of determinant,行列式的梯度Graeco-Latin square,希腊拉丁方Grand mean,总均值Gross errors,重大错误Gross-error sensitivity,大错敏感度Group averages,分组平均Grouped data,分组资料Guessed mean,假定平均数Half-life,半衰期Hampel M-estimators,汉佩尔M 估计量Happenstance,偶然事件Harmonic mean,调和均数Hazard function,风险均数Hazard rate,风险率Heading,标目Heavy-tailed distribution,重尾分布Hessian array,海森立体阵Heterogeneity,不同质Heterogeneity of variance,方差不齐Hierarchical classification,组内分组Hierarchical clustering method,系统聚类法High-leverage point,高杠杆率点HILOGLINEAR,多维列联表的层次对数线性模型Hinge,折叶点Histogram,直方图Historical cohort study,历史性队列研究Holes,空洞HOMALS,多重响应分析Homogeneity of variance, 方差齐性Homogeneity test,齐性检验Huber M-estimators,休伯M 估计量Hyperbola,双曲线Hypothesis testing,假设检验Hypothetical universe,彳假设总体Impossible event,不可能事件Independence,独立性Independent variable,自变量Index,指标/指数Indirect standardization,间接标准化法Individual,个体Inference band,推断带Infinite population,无限总体Infinitely great,无穷大Infinitely small,无穷小Influence curve,影响曲线Information capacity,信息容量Initial condition,初始条件Initial estimate,初始估计值Initial level,最初水平Interaction,交互作用Interaction terms,交互作用项Intercept,截足巨Interpolation,内插法Interquartile range,四分位距Interval estimation,区间估计Intervals of equal probability,等概率区间Intrinsic curvature,固有曲率Invariance,不变性Inverse matrix,逆矩阵Inverse probability,逆概率Inverse sine transformation,反正弦变换Iteration,迭代Jacobian determinant,雅可比行歹列式Joint distribution function, 分布函数Joint probability,联合概率Joint probability distribution,联合概率分布K means method,逐步聚类法Kaplan-Meier,评估事件的时间长度Kaplan-Merier chart, Kaplan-Merier 图Kendall’s rank correlation, Ke等级;相关Kinetic,动力学Kolmogorov-Smirnove test,柯尔莫哥洛夫-斯米尔诺夫检验Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验Kurtosis,峰度Lack of fit,失拟Ladder of powers,幂阶梯Lag,滞后Large sample,大样本Large sample test,大样本检验Latin square,拉丁方Latin square design,拉丁方设计Leakage,泄漏Least favorable configuration,最不利构形Least favorable distribution,最不利分布Least significant difference,最小显著差法Least square method,最小二乘法Least-absolute-residuals estimates,最小绝对残差估计Least-absolute-residuals fit,最小绝对残差拟合Least-absolute-residuals line,最小绝对残差线Legend,图例L-estimator, L 估计量L-estimator of location,位置L 估计量L-estimator of scale,尺度L 估计量Level,水平Life expectance,预期期望寿命Life table,寿命表Life table method,生命表法Light-tailed distribution,轻尾分布Likelihood function,似然函数Likelihood ratio,似然比line graph,线图Linear correlation,直线相关Linear equation,线性方程Linear programming,线性规戈ULinear regression,直线回归Linear Regression,线性回归Linear trend,线性趋势Loading,载荷Location and scale equivariance,位置尺度同变性Location equivariance,位置同变性Location invariance,位置不变性Location scale family,位置尺度族Log rank test,时序检验Logarithmic curve,对数曲线Logarithmic normal distribution,对数正态分布Logarithmic scale,对数尺度Logarithmic transformation,对数变换Logic check,逻辑检查Logistic distribution,逻辑斯特分布Logit transformation, Logit 转换LOGLINEAR,多维列联表通用模型Lognormal distribution,对数正态分布Lost function,损失函数Low correlation,低度相关Lower limit,下限Lowest-attained variance,最小可达方差LSD,最小显著差法的简称Lurking variable,潜在变量Main effect,主效应Major heading,主辞标目Marginal density function,边缘密度函数Marginal probability,边缘概率Marginal probability distribution,边缘概率分布Matched data,配对资料Matched distribution,匹配过分布Matching of distribution,分布的匹配Matching of transformation,变换的匹配Mathematical expectation,数学期望Mathematical model,数学模型Maximum L-estimator,极大极小L估计量Maximum likelihood method,最大似然法Mean,均数Mean squares between groups,组间均方Mean squares within group,组内均方Means (Compare means),均值-均值比较Median,中位数Median effective dose,半数效量Median lethal dose,半数致死量Median polish,中位数平滑Median test,中位数检验Minimal sufficient statistic,最小充分统计量Minimum distance estimation,最小距离估计Minimum effective dose,最小有效量Minimum lethal dose, 最小致死量Minimum variance estimator,最小方差估计量MINITAB,统计软件包Minor heading,宾词标目Missing data,缺失值Model specification,模型的确定Modeling Statistics ,模型统计Models for outliers,离群值模型Modifying the model,模型的修正Modulus of continuity,连续性模Morbidity,发病率Most favorable configuration,最有利构形Multidimensional Scaling (ASCAL),多维尺度/多维标度Multinomial Logistic Regression ,多项逻辑斯蒂回归Multiple comparison,多重比较Multiple correlation ,复相关Multiple covariance,多元协方差Multiple linear regression,多元线性回归Multiple response ,多重选项Multiple solutions,多解Multiplication theorem,乘法定理Multiresponse,多元响应Multi-stage sampling,多阶段抽样Multivariate T distribution,多元T 分布Mutual exclusive,互不相容Mutual independence,互相独立Natural boundary,自然边界Natural dead,自然死亡Natural zero,自然零Negative correlation,负相关Negative linear correlation,负线性相关Negatively skewed,负偏Newman-Keuls method, q 检验NK method, q 检验No statistical significance,无统计意义Nominal variable,名义变量Nonconstancy of variability,变异的非定常性Nonlinear regression,非线性相关Nonparametric statistics,非参数统计Nonparametric test,非参数检验Nonparametric tests,非参数检验Normal deviate,正态离差Normal distribution,正态分布Normal equation,正规方程组Normal ranges,正常范围Normal value,正常值Nuisance parameter,多余参数/讨厌参数Null hypothesis,无效假设Numerical variable,数值变量Objective function,目标函数Observation unit,观察单位Observed value,观察值One sided test,单侧检验One-way analysis of variance,单因素方差分析Oneway ANOVA ,单因素方差分析Open sequential trial,开放型序贯设计Optrim,优切尾Optrim efficiency,优切尾效率Order statistics,顺序统计量Ordered categories,有序分类Ordinal logistic regression ,序数逻辑斯蒂回归Ordinal variable,有序变量Orthogonal basis,正交基Orthogonal design,正交试验设计Orthogonality conditions,正交条件ORTHOPLAN,正交设计Outlier cutoffs,离群值截断点Outliers,极端值OVERALS ,多组变量的非线性正规相关Overshoot,迭代过度Paired design,配对设计Paired sample,配对样本Pairwise slopes,成对斜率Parabola,抛物线Parallel tests,平行试验Parameter,参数Parametric statistics,参数统计Parametric test,参数检验Partial correlation,偏相关Partial regression,偏回归Partial sorting,偏排序Partials residuals,偏残差Pattern,模式Pearson curves,皮尔逊曲线Peeling,退层Percent bar graph,百分条形图Percentage,百分比Percentile,百分位数Percentile curves,百分位曲线Periodicity,周期性Permutation,排歹列P-estimator, P 估计量Pie graph,饼图Pitman estimator,皮特曼估计量Pivot,枢轴量Planar,平坦Planar assumption,平面的假设PLANCARDS,生成试验的计划卡Point estimation,点估计Poisson distribution,泊松分布Polishing,平滑Polled standard deviation,合并标准差Polled variance,合并方差Polygon,多边图Polynomial,多项式Polynomial curve,多项式曲线Population,总体Population attributable risk,人群归因危险度Positive correlation,正相关Positively skewed,正偏Posterior distribution,后验分布Power of a test,检验效能Precision,精密度Predicted value,预测值Preliminary analysis,预备性分析Principal component analysis,主成分分析Prior distribution,先验分布Prior probability,先验概率Probabilistic model,概率模型probability,概率Probability density,概率密度Product moment,乘积矩/协方差Profile trace,截面迹图Proportion,比/构成比Proportion allocation in stratified random sampling,按比例分层随机抽样Proportionate,成比例Proportionate sub-class numbers,成比例次级组含量Prospective study,前瞻性调查Proximities,亲近性Pseudo F test,近似 F 检验Pseudo model,近似模型Pseudosigma,伪标准差Purposive sampling,有目的抽样QR decomposition, QR 分解Quadratic approximation,二次近似Qualitative classification,属性分类Qualitative method,定性方法Quantile-quantile plot,分位数-分位数图/Q-Q 图Quantitative analysis,定量分析Quartile,四分位数Quick Cluster,快速聚类Radix sort,基数排序Random allocation,随机化分组Random blocks design,随机区组设计Random event,随机事件Randomization,随机化Range,极差/全距Rank correlation,等级相关Rank sum test,秩和检验Rank test,秩检验Ranked data,等级资料Rate,比率Ratio,比例Raw data,原始资料Raw residual,原始残差Rayleigh’s test,雷氏检验Rayleigh’s Z,雷氏Z 值Reciprocal,倒数Reciprocal transformation,倒数变换Recording, i记录Redescending estimators,回降估计量Reducing dimensions,降维Re-expression,重新表达Reference set,标准组Region of acceptance,接受域Regression coefficient,回归系数Regression sum of square,回归平方和Rejection point,拒绝点Relative dispersion,相对离散度Relative number,相对数Reliability,可靠性Reparametrization,重新设置参数Replication,重复Report Summaries,报告摘要Residual sum of square,乘U余平方和Resistance,耐抗性Resistant line,耐抗线Resistant technique,耐抗技术R-estimator of location,位置R 估计量R-estimator of scale,尺度R 估计量Retrospective study,回顾性调查Ridge trace,岭迹Ridit analysis, Ridit 分析Rotation,旋转Rounding,舍入Row,行Row effects,行效应Row factor,行因素RXC table, RXC 表Sample,样本Sample regression coefficient,样本回归系数Sample size,样本量Sample standard deviation,样本标准差Sampling error,抽样误差SAS(Statistical analysis system ), SAS 统计软件包Scale,尺度/量表Scatter diagram,散点图Schematic plot,示意图/简图Score test,计分检验Screening,筛检SEASON,季节分析Second derivative,二阶导数Second principal component,第二主成分SEM (Structural equation modeling),结构化方程模型Semi-logarithmic graph,半对数图Semi-logarithmic paper,半对数格纸Sensitivity curve,敏感度曲线Sequential analysis,贯序分析Sequential data set,顺序数据集Sequential design,贯序设计Sequential method,贯序法Sequential test,贯序检验法Serial tests,系列试验Short-cut method,简捷法Sigmoid curve, S 形曲线Sign function,正负号函数Sign test,符号检验Signed rank,符号秩Significance test,显著性检验Significant figure,有效数字Simple cluster sampling,简单整群抽样Simple correlation,简单相关Simple random sampling,简单随机抽样Simple regression,简单回归simple table,简单表Sine estimator,正弦估计量Single-valued estimate,单值估计Singular matrix,奇异矩阵Skewed distribution,偏斜分布Skewness,偏度Slash distribution,斜线分布Slope,斜率Smirnov test,斯米尔诺夫检验Source of variation,变异来源Spearman rank correlation,斯皮尔曼等级相关Specific factor,特殊因子Specific factor variance,特殊因子方差Spectra ,频谱Spherical distribution,球型正态分布Spread,展布SPSS(Statistical package for the social science), SPSS 统计软件包Spurious correlation,假性相关Square root transformation,平方根变换Stabilizing variance,稳定方差Standard deviation,标准差Standard error,标准误Standard error of difference,差别的标准误Standard error of estimate,标准估计误差Standard error of rate,率的标准误Standard normal distribution,标准正态分布Standardization,标准化Starting value,起始值Statistic,统计量Statistical control,统计控制Statistical graph,统计图Statistical inference,统计推断Statistical table,统计表Steepest descent,最速下降法Stem and leaf display,茎叶图Step factor,步长因子Stepwise regression,逐步回归Storage,存Strata,层（复数）Stratified sampling,分层抽样Stratified sampling,分层抽样Strength,强度Stringency,严密性Structural relationship,结构关系Studentized residual,学生化残差/t化残差Sub-class numbers,次级组含量Subdividing,分割Sufficient statistic,充分统计量Sum of products,积和Sum of squares,离差平方和Sum of squares about regression,回归平方和Sum of squares between groups,组间平方和Sum of squares of partial regression,偏回归平方和Sure event,必然事件Survey,调查Survival,生存分析Survival rate,生存率Suspended root gram,悬吊根图Symmetry,对称Systematic error,系统误差Systematic sampling,系统抽样Tags,标签Tail area,尾部面积Tail length,尾长Tail weight,尾重Tangent line,切线Target distribution,目标分布Taylor series,泰勒级数Tendency of dispersion,离散趋势Testing of hypotheses,假设检验Theoretical frequency,理论频数Time series,时间序列Tolerance interval,容忍区间Tolerance lower limit,容忍下限Tolerance upper limit,容忍上限Torsion,扰率Total sum of square,总平方和Total variation,总变异Transformation,转换Treatment,处理Trend, 趋势Trend of percentage,百分比趋势Trial,试验Trial and error method,试错法Tuning constant,细调常数Two sided test,双向检验Two-stage least squares,二阶最小平方Two-stage sampling,二阶段抽样Two-tailed test,双侧检验Two-way analysis of variance,双因素方差分析Two-way table,双向表Type I error, 一类错误/a错误Type II error,二类错误不错误UMVU,方差一致最小无偏估计简称Unbiased estimate,无偏估计Unconstrained nonlinear regression ,无约束非线性回归Unequal subclass number,不等次级组含量Ungrouped data,不分组资料Uniform coordinate,均匀坐标Uniform distribution,均匀分布Uniformly minimum variance unbiased estimate,方差一致最小无偏估计Unit,单元Unordered categories,无序分类Upper limit,上限Upward rank,升秩Vague concept,模糊概念Validity,有效性VARCOMP (Variance component estimation),方差元素估计Variability,变异性Variable,变量Variance, 方差Variation, 变异Varimax orthogonal rotation,方差最大正交旋转Volume of distribution,容积W test, W 检验Weibull distribution,威布尔分布Weight,权数Weighted Chi-square test,加权卡方检验/Cochran 检验Weighted linear regression method,力口权直线回归Weighted mean,加权平均数Weighted mean square,加权平均方差Weighted sum of square,加权平方和Weighting coefficient,权重系数Weighting method,加权法W-estimation, W 估计量W-estimation of location,位置W 估计量Width,宽度Wilcoxon paired test,威斯康星配对法/配对符号秩和检验Wild point,野点/狂点Wild value,野值/狂值Winsorized mean,缩尾均值Withdraw,失访Youden’s index,尤登指数Z test, Z 检验Zero correlation,零相关Z-transformation, Z 变换。

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spss常用统计词汇中英对照表

spss常用统计词汇中英对照表-18页精选文档

spss常用统计词汇中英对照表

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spss常用统计词汇中英对照表

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