ssat_middle_level_test_quantitative_section
2015年6月CFA一级考试重点讲解：Quantitative Methods(定量分析)
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2015年6月CFA 一级考试重点讲解：Quantitative Methods （定量分析）
CFA 一级考试是所有级别中最简单也是最重要的，在一级的十个科目中分值占比较高的科目要数财务报表分析、伦理道德、固定收益和定量分析，这里金程CFA 小编就针对2015年6月考生重点讲解一下定量分析这一科目。
CFA 考试与很多考试不同的地方在于，其一二三级的考试科目内容级别相同，不同的地方在于其考试难度和分值占比。
其中Quantitative Methods （定量分析）在CFA Level I 中占到了12%，也就是说在总共240题中，定量分析占到了将近30题，这也是考生绝对不能掉以轻心的科目。
说了这么多，我们现在初步了解一下定量分析详解是什么？
定量分析就是以数量工具测算投资组合关联性，概率统计，为设定合理理性的投资规划提供技术支撑。
在一级二级考试中是考试占比比较大的考试科目，主要是计算方法的考核，记得住公式就肯定可以做对题。
定量分析的学习内容分布在CFA 官方教材第一本和Study Notes Book One 中，对于定量分析的学习必须在一级阶段打好基础，为了接下来的二三级考试铺好基石。
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SSAT考试核心词汇之人物篇
SSAT考试核心词汇之人物篇随着留学低龄化，在襄阳，越来越多的初中生开始选择到国外去读高中。
而美国作为世界教育领头者自然成为很多学生及家长考虑的首选。
一般情况下去美国读高中，如果只是读普通的高中，是不需要提交语言成绩的，但是如果想要读顶尖的高中，则不仅需要提交托福成绩还需要提交SSAT的成绩（SSAT全称Secondary School Admission Test，中文名称为美国中学入学考试，适用于美国、加拿大私立中学的入学，是申请者所必须具备的一个考试成绩。
主要测量学生的数学、语文以及阅读理解能力，考察考生的逻辑思维和发展潜力。
由Admission Test Board命题。
针对不同年龄的学生，SSAT考试分为高级（upper level）和低级（lower level），前者针对目前就读8-11年级的学生，后者针对目前就读5-7年级的学生。
俗称小赛达）。
学习SSAT的学生，一般在国内属于学霸级的人物。
这类学生，应对SSAT的数学，阅读理解题等均问题不大。
但是语文也就是VERBAL REASONING，对于很多备考的同学们而言都是一件头疼的事情。
主要原因在于题型及词汇本身都是我们国内的初中生们甚至是高中生们都所不熟悉的。
这道题一共分为2个部分，下面我们通过2016年的真题来了解一下：今天，我将会给大家分享2010-2016年SSAT考试VERBAL REASONING里面所有关于人物的词汇。
希望对于大家的备考能够有所帮助。
Carpenter 木匠Cobbler 鞋匠Chemist 化学家Sociologist 社会学家Mathematician 数学家Devotee信徒，爱好者Connoisseur鉴赏家，内行Pessimist悲观主义者Sycophant谄媚者，奉承者Optimist 乐观主义者Pundit专家，博学者，梵文学者Psychologist 心理学家Biologist 生物学家Philanthropist慈善家Architect 建筑师Extortionist勒索者Kleptomaniac有盗窃癖的人Iconoclast偶像破坏者，提倡打破旧习的人Plagiarist剽窃者Surveyor测量员，检验员Steelworker炼钢工人Physician 物理学家Diplomat 外交官Mercenary 佣兵Composer作曲家Miser 守财奴Toastmaster 宴会主持人Tailor裁缝Builder建筑者Poltroon 胆小鬼Jester 小丑Dynamo 精力充沛的人Machinist 机械工Satan撒旦（魔鬼）Athena雅典娜（智慧与技艺的女神）Shakespeare莎士比亚Midas大富翁；麦得斯（能点物成金）Choreographer编舞者，舞蹈指导Infant 婴儿Juror 陪审员Soothsayer 占卜者Judge 法官Philatelist 集邮家Champion 冠军Bodyguard 保镖Claustrophobic 幽闭恐怖症患者Misogynist 厌恶女人的人Glutton 贪吃的人Narcissist 自我陶醉者Myth 虚构的人Clown 小丑Zealot 狂热者；发烧友Spy间谍Cartographer 制图师Chef 厨师Kidnapper 绑匪Counselor 顾问Bellwether 领导者Embezzler 侵占公款者Proselyte 改信仰者Panhandler 乞丐。
美国留学SSAT考试形式和计分规则
美国留学SSAT考试形式和计分规则SSAT在全球有750多个考场，每年约有60,000名考生报考，至今没有考生有重复应考同一试卷的情况。
不提供ESL的私立中学评估是否接受学生申请入学时，SSAT是非常重要的参考指标，全球约有300多个私立中学要求申请入学学生一定要有SSAT成绩，另有300多个学校会要求或接受SSAT。
因为SSAT是设计给美国学生考试的，其英文部分相当难，数学的部份极简单，有时有提供少数ESL课程的高中，为了了解国际学生的英文程度，也会建议去考SSAT。
SSAT在美加以外地区的考试，每年于11、12、1、3、4月举行，考前四周报名截止。
在美国每年举办7次考试，在北美以外的国家和地区每年举办5次考试或更少。
SSAT考试形式和计分规则SSAT考试主要由阅读(Reading)、语文(Verbal)、数学(Quantitative)和写作(Essay)四部分构成，高年级考试每部分是800分，总得分2400分，作文部分(Essay)均不计分，但为校方选择学生的重要参考之一，整个考试时间大约在180分钟，选择题每题只有一个正确答案，答对得1分，答错倒扣1/4分，不答题不加分也不扣分。
SSAT的试题是直接从题库调用的，所以每个学生的题目都不一样，至今没有考生是重复使用同一试卷应考的。
考试提供两种程度的测试：低年级(在美国就读5-7年级的考生，相当于在中国就读五年级-初一的学生)和高年级(在美国就读8-11年级的考生，相当于在中国就读初二-高二的学生)。
两种测试的考试形式相同，都分为写作和选择题两部分。
SSAT的计分主要有四种形式，学校通常采用的是以下两种：等级分（scale score）将题目的对错换算成等级分，低级SSAT，各部分的等级分区间为440-710，故总分为1320—2130;高级SSAT，各部分的等级分区间为500-800，总分1500 — 2400。
百分成绩（percentile）用百分比来表示学生成绩在所有参考学生中所在的位置，最高为99%，最低为1%。
SPSS术语中英文对照
【常用软件】SPSS术语中英文对照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）.3．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。
ssat考试分数的换算方法 太傻咨询网
ssat考试分数的换算方法太傻咨询网申请美国高中SSAT总分至少2000分以上，甚至有时需要2200分以上，且单项百分比也不能低，那ssat考试分数是怎么换算的?ssat成绩百分比又是什么意思呢?下面太傻留学ssat考试频道为考生详细介绍下这些问题，希望对考生备考成绩的提高有帮助。
ssat考试分数的换算方法第一，按照答题卡算出具体分数，正确的计1分，错误计扣0.25分，不答题不扣分不得分。
第二，按照正确的个数和错误的个数以及未答的个数，按照：正确*1+错误*0.25+未答*0=X，这个公式算出ssat考试分数。
第三，现在没有lower了，变成了middle level。
原来的lower level 改名middle，对现年5-7年级学生。
这个对少数申请7-8年级的学生有用。
第四，upper的名字没变。
对现年8-11年级的学生。
绝大部分申请高中的学生应该考这个。
第五，现在SSAT对学生应该考哪个规定很明确，就是学生在读的年级，跟年龄无关。
对于八申九的学生，即使生日小，按这个官网上的规定也应该考upper level。
第六，换算表：由于ssat考试分数只和做对的题数以及做错的题数相关，所以懂得适当的放弃，也是一种智慧，那么ssat考试分数是否是越高越好呢?答案是：不一定。
其实SSAT成绩单中有一项叫做“SSAT percentile”，即：SSAT百分比，才是各个美国高中录取一个学生的关键。
当我们查询学校对于学生录取成绩的要求时，往往看到的都是百分比要求。
例如菲利普安多福的ssat平均成绩是94%，乔特罗斯玛丽的平均成绩是85%，那SSAT百分比是什么意思呢?SSAT百分比其实就是该学生与近三年来全球所有同年龄同性别的其他考生相比处在哪个位置，百分比越高越是说明他/她的拔尖(1%-99%)。
对于美国优秀的私立高中而言，一般要求SSAT百分比不得低于60%，有些甚至不得低于85%。
相反，有时候有个学生的总分只有1900，但是他/她的SSAT百分比却可高达70%以上。
AP考试Statistics专业词汇中英文对照
AP考试Statistics专业词汇中英文对照据360教育集团介绍：以下是对AP的探索性数据、抽样和实验设计的词汇中英文对照。
Part 1 exploring data (探索性数据分析)Frequency-频数 relative frequency-相对频数cumulative frequency-累积频数symmetric distribution-对称分布left-skewed distribution- 左偏分布right-skewed distribution-右偏分布clusters and gaps-集群和缺口 outlier-异常值mean-均值 median-中位数 range-极差quartiles -四分位数 interquartile range- 四分位差percentile- 百分位数 standard deviation-标准差standardized scores(z-scores)-标准计分correlation coefficient-相关系数Pearson‘s correlation coefficient-皮尔逊相关系数 (这只是两种说法，实际等价) Least squares regression line--最小二乘回归线Dependent variable--因变量 independent variable--自变量Predicted value--预测值 the coefficient of determination-判定系数Influential observation-有影响的观测值Residual plot--残差图Part 2 sampling and experimentation(抽样和实验设计)Population--总体 sample--样本 sample survey--抽样调查Census-普查experiment -实验设计 observational study--观测研究biased sampling--有偏抽样judgmental sampling--判断抽样samples of convenience--方便样本volunteer samples--自愿样本simple random sampling--简单随机抽样systematic sampling--系统抽样stratified random sampling--分层抽样proportional sampling--比率抽样cluster sampling--整群抽样sampling error--抽样误差response bias--回答偏差nonresponse bias--无回答偏差undercoverage bias--覆盖不全偏差wording effect bias--措辞偏差experimental unit--实验单位 observational unit--观测单位confounding variable --混淆变量factor--因子 treatment--处理control group--控制组 placebo group--安慰剂组single-blind experiments--单盲实验double-blind experiments--双盲实验randomization--随机化blocking(block)--区组replication--复制，重复completely randomized design--完全随机设计randomized block design--随机区组设计matched-pairs design--配对设计Part 3 anticipating patternsProbability--概率 sample space--样本空间Tree diagram--树形图Impossible events--不可能事件Sure events--必然事件Complement of an event--事件的补事件Disjoint or mutually exclusive events--互斥事件Conditional event--条件事件 independence--独立Random variable--随机变量Discrete random variable--离散型随机变量Continuous random variable--连续性随机变量Probability distribution of a discrete random variable-离散型随机变量的概率分布Cumulative distribution function--累积分布函数Expected value--期望值，数学期望Probability distribution of a continuous random variable-离散型随机变量的概率分布Parameter--参数 statistics--统计量Sampling distribution--抽样分布Central limit theorem--中心极限定理Part 4 statistical inference 统计推断Estimation process--估计过程 estimate--估计值Point estimation--点估计 interval estimation--区间估计Margin of error--误差界限Confidence interval--置信区间 confidence level--置信水平Significance--显著性Statistical hypothesis--统计假设Null hypothesis--零假设，原假设Alternative hypothesis--备择假设Test statistics--检验统计量Type I error--第一类错误 type II error--第二类错误Rejection region--拒绝域 nonrejection region--非拒绝域Critical value--临界值Left-tailed test--左尾检验Right-tailed test--右尾检验Two-tailed test--双尾检验Sample size--样本容量Student’s t distribution--学生t分布Chi-square distribution--卡方分布Goodness of fit --拟合优度。
CFA资料-一级易考点-数量 quantitative method
知识点4-Quantitative Method:CV /Sharpe Ratio1.CV (Coefficient of Variation)✓s CV=X,表示单位回报对应的风险，越小越好。
2.Sharpe Ratio：✓P F PR - R Sharpe ratio = σ，单位风险对应的超额回报，越大越好。
知识点5-Quantitative Method:Covariance /Correlation1.Covariance✓衡量两个变量的线性关系。
✓取值范围：(-∞,+∞)，正值代表正相关，负值代表负相关。
2.Correlation✓公式i j i j i,j i,j i j i jCov(R ,R )Cov(R ,R )ρ=, r =σσs s 。
✓取值范围：(-1,+1)，+1/-1代表完全正/负相关，0代表没有线性关系。
知识点6-Quantitative Method:Normal Distribution1.正态分布的性质：✓X~N(μ,σ²)，由均值μ和方差σ²两个参数完全描述。
✓skewness=0，kurtosis=3.✓正态分布变量的线性组合还是服从正态分布。
2.正态分布的置信区间：✓68%confidence interval is [μ-σ,μ+σ].✓90%confidence interval is [μ-1.65σ,μ+1.65σ].✓95%confidence interval is [μ-1.96σ,μ+1.96σ].✓99%confidence interval is [μ-2.58σ,μ+2.58σ].3.正态分布的应用：✓Shortfall risk：回报低于shortfall level（R L ，最低可接受回报）的概率。
✓Safety-first Ratio：♦()p L pR R E SFRatio = σ-，表示预期回报与最低可接受回报（R L ）之间有几个标准差的安全边际，Safety-first Ratio 越大越好。
ssat考试指南
SSAT Test Study GuideTable of ContentsSSAT TEST RESOURCES (4)SSAT OVERVIEW (5)TESTING AND ANALYSIS (7)INTRODUCTION TO THE SSAT (9)THE SSAT SCORING SCALE (10)QUANTITATIVE TEST (12)Q UESTION T YPES (13)A RITHMETIC (13)D IVISIBILITY (15)M ULTIPLICATION (16)A DDITION (16)S UBTRACTION (17)E VENS AND O DDS (18)P RIME N UMBERS (20)P ERCENTS (22)S QUARE OF A N UMBER (25)E XPONENTS (27)R OOTS (29)A VERAGES (30)VERBAL TEST (32)S YNONYMS AND A NALOGIES (32)Characteristic (32)Source (32)Location (32)Sequential (32)Reciprocal (33)Cause/Effect (33)Creator/Creation (33)Provider/Provision (33)User/Tool (34)Whole/Part (34)Category (34)Synonym or Definition (34)Antonym or Contrast (34)Intensity (35)Word Part/ Meaning (35)U SING S ENTENCES (35)F OCUS ON W HAT Y OU K NOW (35)READING COMPREHENSION TEST (37)F LYING O VER THE P ASSAGE (37)C REATING A T ENTATIVE S UMMARY (37)O PENINGS AND E NDINGS (38)E XTRANEOUS I NFORMATION (39)U SING K ITCHEN L OGIC (39)G ETTING INTO THE A UTHOR’S M IND (40)E MOTIONAL W ORDS (41)F INDING THE K EY W ORDS (42)M AKING P ROPER I NFERENCES (43)A PPLYING I DEAS FOR G ENERALIZATIONS (44)U SING C ONTEXT C LUES (44)B REAKING D OWN P ASSAGE O RGANIZATION (46)F IRST W ORD A NALYSIS (47)U NDERSTANDING THE I NTIMIDATION (48)F INDING YOUR O PTIMAL P ACE (49)D ON’T BE A P ERFECTIONIST (50)F ACTUALLY C ORRECT, BUT A CTUALLY W RONG (51)D IFFERENT V IEWPOINTS (51)WRITING SAMPLE (53)P LANNING S TAGE (53)S TICKING TO THE P LAN (53)R EVIEWING THE P LAN (53)B RAINSTORMING S MART (54)E NDING AT THE S TART (57)S TAYING C ONSISTENT (58)M AINTAINING THE F LOW (59)B ACKING UP Y OUR P OINTS (59)U SING P ROPER G RAMMAR (60)W ATCHING Y OUR V OCABULARY (61)A VOIDING T UNNEL V ISION (62)J UST D O I T (63)C ONCLUSION IS R EVIEW (64)C OMMUNICATING R EASON, NOT P ASSION (64)A NSWERING THE W HY? (65)GETTING READY FOR TEST DAY (67)POST SSAT (69)SSAT Test ResourcesFree SSAT Practice Tests/ssat_practice.htmFinancial Aid FactsScholarship HelpStudy Tips and Information/resource_tips.htmSSAT OverviewThe SSAT is indeed a difficult examination, and as such, it was required that media be chosen by which intellectual ability could be measured. In the case of the SSAT, math, verbal, reading, and writing were the selected media. While there is an ongoing, low-profile controversy about whether or not this test truly measure’s your abilities with regards to what skills you’ll need for school, that is not the purpose of this book. The purpose is, however, to make sure that you’re able to achieve the best possible state of preparation, allowing you to maximize your score potential - no matter if your actual aptitude has been measured.As no test can measure all aspects of a person’s intelligence, the SSAT measures those skills deemed most critical to a new student. Then again, if any admission test, no matter how cleverly assembles, is inherently inadequate, why perform this type of testing at all? This is a question posed by every student who sees the SSAT looming ahead of him/her. Nevertheless, the answer to this question is quite simple, and quite reasonable; to make school acceptance a more fair experience, by expanding the basis approval beyond your grades.Your SSAT score is one of the most critical elements to your qualification for school, so it is naturally much too important for you to take this test unprepared. The higher your SSAT score, the better your chances of admission will be for a respected, competitive program.While different programs assign a different weight or importance to your SSAT scores, it is safe to assume that your SSAT will be a major determining factor when it comes to the final admission decision made by each school to which you’ve applied.Careful preparation, as described in this expert guide, along with hard work, will dramatically enhance your probability of success. In fact, it is wise to apply this philosophy not only to your school applications, but to other elements of your life as well, to raise you above the competition. Your SSAT score is one of the areas in the admission process over which you have a substantial amount of control; this opportunity should not be taken lightly. Hence, a rational, prepared approach to your SSAT test as well as the rest of the admission process will contribute considerably to the likelihood of acceptance.Keep in mind, that although it is possible to take an SSAT test more than once, you should never take the test as an “experiment” just to see how well you do. It is of extreme importance that you always be prepared to do your best when taking the SSAT.Testing and AnalysisIt won’t take you long to discover that the SSAT is unlike any test you’ve taken before, and it is probably unlike any test you will ever take again in your academic career. The typical school test is a knowledge-based test. The SSAT, however, is skills-based.What does this mean to you? It means that you’ll have to prepare yourself in a completely different way! You won’t simply be reciting memorized facts as they were phrased in some textbook.The SSAT requires you to think in a thorough, quick and strategic manner…and still be accurate, logical and wise.This test is designed to judge your writing, verbal and mathematical ability in the ways that schools feel is vital to the success of first year students.To some extent, you have already gradually obtained these abilities over the length of your academic career. However, what you probably have not yet become familiar with is the capability to use these abilities for the purpose of maximizing performance within the complex and profound environment of a standardized, skills-based examination.There are different strategies, mindsets and perspectives that you will be required to apply throughout the SSAT. You’ll need to be prepared to use your whole brain as far as thinking and assessment is concerned, and you’ll need to do this in a timely manner. This is notsomething you can learn from taking a course or reading a book, but it is something you can develop through practice and concentration.This guide provides you with the professional instruction you require for understanding the traditional SSAT test. Covered are all aspects of the test and preparation procedures that you will require throughout the process. Upon completion of this guide, you’ll have the confidence and knowledge you need for maximizing your performance on your SSAT.Introduction to the SSATThe purpose of the SSAT is to establish a standard method of measurement for the skills that have been acquired by school applicants. These skills are considered critical to schools for a first-year student to be able to succeed. The principle behind the SSAT is similar to the SAT’s that are required for application to American colleges. Although these tests are similar experiences, the SSAT is in many ways much more challenging and complex.Fortunately, the SSAT does not change very dramatically from year to year. What this means to you, is that it has become possible for quality practice tests to be produced, and if you should take enough of these tests, in addition to learning the correct strategies, you will be able to prepare for the test in an effective manner.The SSAT Scoring ScaleSSAT scoring is not hard to comprehend when it is properly explained.There is no “passing” score to the SSAT, but you will need to know what the cut off average score is for the schools to which you’re looking to apply. For this information, check their website, or call, and they’ll tell you the average score of students who are accepted.Each school has a different policy for weighing SSAT scores with your GPA. The majority of schools will weigh your SSAT score more heavily than your GPA. In fact, some schools will weigh your SSAT at 70% and your GPA at 30%, which means that this one examination is worth more than years of previous schoolwork.It’s up to you to look into the schools to which you’ll be applying, so that you’ll have this information, and know the exact value of your SSAT. Many schools will make their calculation structure for the combination of SSAT and GPA available to the public.Knowing this information before you enter the SSAT examination means that you know exactly what you’re facing that day. You will have a realistic perception of the worth of the test, and you will have the proper motivation to fully apply yourself to reach your maximum potential.You’ll also be able to realistically judge the type of school to which you should be applying, and you can better set out your future plans in your mind.Quantitative TestThese tests will require you to:-understand basic concepts-reason quantitatively-solve problems in a quantitative settingTo identify the skills that need extra work, complete a practice test that gives additional information, or, complete a practice test and look for yourself at the areas where you excelled, and the areas where struggle was apparent.Your “critical” math skills will be in the areas where you have made the most wrong answers on your practice test. Those will be the math skills that will best help your score in the shortest period of time, if you manage to practice and better these skills. This is the area in which you can maximize your score increase potential.To master your critical math skills, there are certain steps you may take:y Read over the skill lesson in this book, very carefullyy Find some practice tests and work specifically on the questions that test your critical math skills, practicing the new skills that you have learned in through your review.y Use textbooks for increased detail, assistance, and question examples for the areas in which you are struggling the most.y Practice, practice, practice!The best way to get to learn your math skills is to rehearse them with as many new sample questions as you can get your hands on. The questions you do, the more you will become familiar and comfortable with that type of question, so that you can move on and concentrate on other areas for perfection.Question TypesThe test is very consistent with the type of mathematics questions that it uses, year after year. The following are the types of mathematical questions that you are likely to encounter:y Arithmeticy Divisibilityy Multiplicationy Additiony Subtractiony Evens and Oddsy Prime Numbersy Percentsy Square of a Numbery Exponentsy Rootsy AveragesArithmeticArithmetic skills refer to the questions that can be solved by using addition, subtraction, multiplication and/or division.On these questions, you’ll need to recall your order of operations. A good trick to recall your order of operations is “P lease E xcuse M y D ear A unt S ally”…before you say “huh?” recognize the first letters in this phrase:y Work within P arenthesisy Simplify E xponentsy M ultiplication and D ivisiony A ddition and S ubtractionThe majority of arithmetic questions will require you to take multiple steps, and will likely test other skills as well, instead of being purely arithmetic. Often, the questions will be presented in the form of word problems, where you will need to decide when to add, subtract, multiply and divide.For example:How many egg cartons are needed to hold 300 eggs, if each carton can hold one dozen (1 dozen = 12)A.15B.18C.22D.25E.28Note: the answer is 25DivisibilityThe factors of integer X are the integers by which X can be divided without leaving a remainder. Thus, X is divisible by its factors.For example:The number 10 is divisible by both 5 and 2. 10 can be divided by both of these integers without leaving a remainder.To review the rules of divisibility, have a look at the following:1.Numbers divisible by 2 end in even numbers.2.Numbers divisible by 3 can be determined by adding the sum of their digits and checking if that number is divisible by 3 (for example the number 123: 1+2+3=6, 6 is divisible by 3 with no remainder).3.Numbers divisible by 4 can be identified if their last two digits will divide by 4 without a remainder (for example, the number 624: the last two digits are 24, which are divisible by 4 with no remainder).4.Numbers divisible by 5 end only in 5 or 0.5.Numbers divisible by 9 occur when the sum of its their digits are divisible by 9 (for example, the number 639: 6+3+9 = 18, which is divisible by 9).6.A number is only divisible by 10 if it ends in 0The following is an example of a divisibility question:Which of the following integers divides into both 200 and 150?A.3B.7C.30D.50E.300Note: The correct answer is (D)MultiplicationThe following are a few simple rules to keep your multiplications on track:Positive x Positive = PositiveNegative x Negative = PositiveNegative x Positive = NegativeAdditionHere are some rules to be certain that there are no slips while doing addition:Positive + Positive = PositiveNegative + Negative = NegativeNegative + Positive = either positive or negative (you must use the absolute value of both: subtract the smaller from the larger and keep the sign of whichever absolute value was larger)SubtractionThe definition of subtraction is: A - B = A + (-B)A minusB is the same as A plus (the opposite of B)X > 0, means that X is a positive numberX < 0, means that X is a negative number-(A - B) = -A + B = B - A(-X)2 = X2If X - 0, X2 > 0If, on the number line, one number occurs to the left of another number, the number on the left is the smallest number.Therefore, when studying the line above, you will know that X < Y and Y < Z.For example:Use the number line to make conclusions with regards to whether each number is positive or negative.In this situation, you will have an easier time if you implement specific numbers to fit the problem. For example, let X = -7, Y = -2, and Z = 3. Be certain to utilize some negative numbers while substituting.The following is an example of a subtraction question:Y - XSolution: Positive Y is greater than X.-2 - (-7) = -2 + 7 = 5Evens and OddsAn even number is any word that is divisible by 2: numbers that are within the set {…-6, -4, -2, 0, 2, 4, 6,…}. Remember, though, that an even number is divisible by 2 and not have any remainder. Keep in mind also that 0 is an even number. Consecutive even numbers are all located 2 units apart. For example, if x is an even number, then the next consecutive even number would be represented as X + 2.Odd numbers, on the other hand, are numbers within the set {…-5, -3,-1, 1, 3, 5,…}.The following charts demonstrate the properties of odd and evennumbers. To check the property of a number, you can simplysubstitute the appropriate numbers.Properties of odd and even numbers with AdditionProperty Example Even + Even = Even 2 + 8 = 10Odd + Odd = Even 3 + 9 = 12Odd + Even = Odd 3 + 8 = 11Properties of odd and even numbers with AdditionProperty Example Even x Even = Even 4 x 6 = 24Even x Odd = Even 4 x 5 = 20Odd x Odd = Odd 3 x 9 = 27Consider the following example:If R is an odd integer, what are the next two consecutive odd integers?A) T and VB) R and R+1C) R+1 and R+2D) R+2 and R+4E) R+1 and R+3Note: the correct answer is (D)Here’s another example:If x is an odd integer and y is an even integer, tell whether each expression is odd or even.A.x2B.xyC.y2D.x + yE.2x + yNote (A) is odd. (B) is even. (C) is even. (D) is odd, and (E) is even.Prime NumbersA prime number is defined as an integer that is greater than 1, and has only two positive factors, 1 and itself.For example, 7 is a prime number, as its only factors are 1 and 7. However, 6 is not a prime number, because its factors are 1, 2, 3, 6The first ten prime numbers are: 2, 3, 5, 7, 11, 13, 17, 19, 23, 29Note, though that 1 is not a prime number, and both the smallest and the only even prime number is 2.Prime factorization is the process by which you express a number as a result of only prime numbers.For example:To create the prime factorization of 24, you’d represent it as:2 x 2 x 2 x3 or 23 × 3To create the prime factorization of 15, you’d represent it as:5 x 3An example of a factor question is:If xy = 13 and both x and y are positive integers, then what is the sum of x + y?A.13B.14C.16D.20E.26Note: the answer is BHere is another example:What is the sum of the first 5 prime numbers?A.18B.28C.30D.34E.38Note: The first five prime numbers are 2, 3, 5, 7, 11 and their sum is 28. The answer is B.PercentsThe word percent means “hundredths” or a number which is divided by 100. Converting a number into a percentage involves multiplying the number by 100.A percent can be determined by performing the division of the part by the total and multiplying it by 100:Percent = Part x 100TotalFor example, if Wendy missed 12 out of 80 examination questions, what is the percent of questions she missed?Percent = missed questions x 100 = 12/80 x 100 = 0.15 x 100 = 15%TotalThe phrase “X is N percent of Y” can also be written mathematically asX = N x Y100The word “is” means equal (=), while the word “of” means “multiply” However, before multiplying, you must change a percent into adecimal or fractional format.For example:5 is 20% of 25, means 5 = 0.20 x 25To change the fraction into the percent, you must first change thefraction into a decimal, and then multiply by 100 (or move the decimalpoint by 2 places to the right)For example:Change the fraction 1/5 into a percent.First, change the fraction 1/5 into the decimal 0.2, and multiply by 100 (move the decimal 2 places to the right). Therefore:1/5 x 100 = 20%The following table provides the common percentages that you will useon a regular basis, and may wish to memorize.Fraction Decimal Percent1/1000.011%1/100.110%1/70.142857114.3%1/60.16666...16.6% or 16.7%1/50.220%1/40.2525%1/30.3333.3%1/20.550%3/50.660%1 1.0100%3/2 1.5150%Please note that numbers over 1 achieve percentages that are greater than 100%Consider the following example:What is 20% of 50?A.5B.8C.10D.12E.15Note: the answer is CTo solve this question, you must rewrite it as an algebraic question. Therefore, let x represent the unknown number.X = 0.20 x 50Keep in mind that to change the percent to a decimal, and that the word “of” means that you should multiply.X = 10Here is another example:5 is what percent of 2?A.2.5%B.25%C.100%D.250%E.500%Rewrite this as an algebraic equation. 5 = n × 2Solve for n and remember to change the answer to a percent.n = 5/2 = 2.5 = 250%Therefore, the answer is (D)Square of a NumberSquaring a number means to multiply that number by itself.The notation for squaring a number (x) is as follows: x2When squaring an integer, the result obtained is called a perfect square.When preparing for the test, make sure that you are fully capable of understanding and reproducing the following table, as well as recognizing the numbers that are perfect squares and perfect cubes.n n2n3(n > 0) n3(n < 0)111-1248-83927-2741664-64525125-125636216-216749You will notneed to knowany higherYou will not need to know any higher864981101001112112144Squared numbers and special propertiesy x2 > 0 always, except for x = 0y x2 > x for x > 1y x2 < x for 0 < x < 1*importanty x2 = x for x = 1 or 0y The square root of x2 equals the absolute value of x.y If x2 = y2, then either x = y, or y = -x, or x = -y.The following is an example:Of the following numbers, which is a both a perfect square and a perfect cube?A.4B.8C.9D.16E.64Note: the answer is (E)ExponentsThe mathematical notations for numbers which are the result of a number that is multiplied by itself a number of times is called exponents.Examples:x3 = x × x × xx5 = x × x × x × x × xThe expression of x n is also called the n th power of x. The x is the base, while the n is the exponent. Math questions will usually only utilize integral exponents. x2 is read as x-squared, and x3 is read as x-cubed. All others are read as a power of x. x4 is read as the 4th power of x.When it comes to the power of 10, there is a simple, quick rule that simplifies the powers of 10, by writing it as 1, followed by the number of zeros as specified by the power.Examples: 105 = 1 followed by 5 zeros. 100000 = 100,000.An example you may find is:Represent 32,456 to the power of 10.The solution would be as follows:32,456 = 3 × 104 + 2 × 103 + 4 × 102 + 5 × 101 + 6 × 100Consider the following example:Solve for x: (x - 3)2 = 49.You could use algebra and take the square root of both sides or since 49 is a perfect square you could guess integers for x. Just remember x -3 must be positive or negative.If you try guessing, the integers 10 and -4 work. To get an algebra solution, do the following:(x - 3)2 = 49x - 3 = 7 or x - 3 = -7x = 10 or x = -4It is your goal to get problems correct quickly. Sometimes guessing (Guessing in this case means substituting in numbers to see which satisfy the equation.) is faster than solving an equation, if you train yourself to use the technique. Of course, if you cannot "see" the answers fast enough, use other approaches to answer the problem.RootsThe test will require you to manipulate both square roots and cube roots. Some of the questions will measure whether or not you understand these expressions.You should remember that none of the following should ever occur:1.No perfect square can be left underneath a radical (square root)sign.2.No radical can be within the denominator.3.No fractions may occur within the radical sign.AveragesThere are three basic components that comprise an average problem:1.Total2.Average (also known as a mean)3.# of numbersThe average is the total of elements that are within the set.To discover the average, simply divide the total by the # of numbers. For example:Jenna’s last four test scores were 35, 56, 75, and 28. What is the average of Jenna’s test scores?A.43B.48.5C.52.5D.54E.47Note: the answer is (B).35 + 56 + 75 + 28 = 194194 / 4 = 48.5Five things to remember when solving averages:1.If a number that is the same as the average is added, the newaverage will not change.2.If a number is added and it is less than the average, the averagewill decrease.3.If a number is added and it is greater than the average, theaverage will increase.4.If a pair of numbers are added, and they are “balanced” on bothsides of the average, the arithmetic mean is the middle value.5.To discover the average between two evenly spaced numbers, addthe first and the last terms and divide them by 2.Verbal TestSynonyms and AnalogiesCharacteristicSome characteristic analogies will focus on a characteristic of something else.Dog: Paw – The foot of a dog is its paw.Lady: Lovely – A lady has a lovely personality.Some characteristic analogies will focus on something that is NOT a characteristic of something else.Desert: Humidity – A desert does not have humidity.Job: Unemployed – A person without a job is unemployed.Quick: Considered – A quick decision is often not very considered.SourceCasting: Metal – A casting is made from metal.Forest: Trees – A forest is composed of trees.Slogans: Banners – A slogan is printed on banners.LocationEiffel Tower: Paris – The Eiffel Tower is a structure in Paris. Welsh: Wales – The Welsh are the inhabitants of Wales.Pound: England – The pound is the monetary unit of England.SequentialOne: Two – These are consecutive numbers.Birth: Death – These are the first and last events of a life or project.Spring: Summer – The season of Spring immediately precedes Summer.ReciprocalParent: Child – A parent cannot exist without a child.Power: Work – Power is a function of work.Owner: Possession – For possession to occur, there must be an owner.Cause/EffectStorm: Hail – Hail can be caused by a storm.Heat: Fire – Heat results from a fire.Monotony: Boredom – Boredom is a consequence of monotony.Creator/CreationCarpenter: House – A carpenter builds a house.Painter: Portrait – A painter makes a portrait.Burroughs: Tarzan – Edgar Rice Burroughs wrote the novel Tarzan.Provider/ProvisionJob: Salary – A job provides a salary.Therapist: Treatment – A therapist treats patients.Army: Defense – An army enables national defense.Object/FunctionPencil: Write – A pencil is used to write.Pressure: Barometer – A barometer measures pressure.Frown: Unhappy – A frown shows unhappiness.User/ToolCarpenter: Hammer – A carpenter uses a hammer.Teacher: Chalk – A teacher uses chalk.Farmer: Tractor – A farmer drives a tractor.Whole/PartDoor: House – A door is part of a house.State: Country – A country is made up of states.Day: Month – A month consists of many days.CategoryDoor: Window – Both a door and a window are parts of a house. Thigh: Shin – Both a thigh and a shin are parts of a leg. Measles: Mumps – Both measles and mumps are types of diseases.Synonym or DefinitionThese are analogies in which both terms have a similar meaning. Chase: Pursue – Both of these terms mean to “go after”. Achieve: Accomplish – Both of these terms refer to the successfulattainment of a goal.Satiate: Satisfy – Both of these terms mean to gratify a desire.Antonym or ContrastThese are analogies in which both terms have an opposite meaning. Disguise: Reveal – To disguise something is not to reveal it, but to conceal it.Peace: War – Peace is a state in which there is no war.Forget: Remember – The word “remember” means not to forget something.IntensityThese are analogies in which either one term expresses a higher degree of something than the other term.Exuberant: Happy – To be exuberant is to be extremely happy. Break: Shatter – To shatter is to strongly break.Deluge: Rain – A deluge is a heavy rain.Word Part/ MeaningThese are analogies in which one term explains what the other term means.Pre-: Before – The prefix “pre-“ means before; for example,predetermine means to determine before understandingor seeing all of the facts.Excessiveness: -ard – The suffix “-ard” means to do something excessively; for example, a drunkard is someone that drinks excessivelyMis-: Poorly – The prefix “mis-“ means to do something poorly; for example, to misspell a word is to spell it poorly.Using SentencesThe most commonly used strategy for solving these problems is still the best. You should try to put the words into sentences that make it easier to understand their meaning. The sentence doesn’t have to be complicated.Focus on What You Know。
CFA考前辅导：Quantitative Analysis(金融数量分析)的三个难点
CFA考前辅导：Quantitative Analysis(金融数量分析)的三个难点Quantitative Analysis（金融数量分析）的三个难点1.计算货币的时间价值，考生遇到的难点往往是计算在n期时间后开始的（永续）年金的折现值。
需要注意的是，考生若将计算器设置在END模式，计算出的现值即折现到第一个支付日的前一日。
2.在估量数据的标准误差时，考生常常疑惑何时应当用标准差s（standard deviation）度量、何时又应该用s/√n ）standard deviation divided by square root of n）度量。
考生须牢记，在计算样本均值的置信区间时，就要用s/√n来度量误差。
举例来说，考虑100个标上了正态随机数的乒乓球，这串随机数的均值（mean）是0，标准差（standard deviation）是10。
根据置信区间的计算，将有95%的随机数落在（-1.95*10，1.95*10）区间内。
现在考虑9个样本球，并假定这9个乒乓球的随机数均值为0，样本均值标准差为10/√9 = 10/3 = 3.33. 那么这9个样本球的均值有95%的概率落在（-1.96*3.33,1.96*3.33）区间内。
样本的规模越大，样本均值就越接近真实均值。
现在若考虑100个样本球随机数，均值标准差为10/√100 =10/10 = 1，则这100个随机数的均值95%的概率落在（-1.96,1.96）。
3.根据中心极限定理（Central Limit Theorem），如果乒乓球的随机数容量很大，即不符合正态分布，其样本均值将服从m为总体均值，s为总体标准差除以n平方根的正态分布各位考生，2015年CFA备考已经开始，为了方便各位考生能更加系统地掌握考试大纲的重点知识，帮助大家充分备考，体验实战，网校开通了全免费的高顿题库（包括精题真题和全真模考系统），题库里附有详细的答案解析，学员可以通过多种题型加强练习，通过针对性地训练与模考，对学习过程进行全面总结。
SSAT官方指南_UpperLevel-Test2-Section3_词汇整理
Test II (Section 3)Passage 1 (The Moon)1.whirl (vi) 使 ... 旋转, 回旋, 迅速移动2.tug (n) 用力拉3.gravity (n) 重力4.patch (n) 小块地, 片, 补缀, 碎片5.shadowy (adj) 阴暗的, 朦胧的, 鲜为人知的6.worship (vt) 崇拜, 爱慕7.myth (n) 神话, 虚构的故事8.dispel (vi) 驱散, 消除9.origin (n) 起源, 出身Passage 2 (Legends about Flag)1.legend (n) 传说, 传奇2.supposedly (adv) 推测地, 大概3.crude (adj) 天然的, 未加工的, 粗鲁的, 粗糙的, 简陋的4.dispatch (vt) 派遣, 发送5.rough (adj) 粗糙的, 粗略的, 粗暴的6.sketch (n) 速写, 素描, 草图, 概述7.seamstress (n) 女裁缝8.widow (n) 寡妇, 遗孀9.document (vt) 记载, (用文件等)证明 (n) 文件, 公文, 文档10.urgent (adj) 紧急的, 急迫的itary (adj) 军事的12.ingredient (n) 成分, 原料, 配料, 因素13.hasty (adj) 匆匆的, 轻率的, 急忙的14.defend (vi) 防守, 防护, 辩护15.stripe (n) 条纹16.conglomeration (n) 聚集, 凝聚, 混合物17.debunk (vt) 揭穿真相, 暴露18.fraud (n) 欺骗, 诈欺, 骗子19.victimize (vt) 使牺牲, 使受骗, 使受害20.insult (vt/n) 侮辱, 辱骂, 凌辱21.recipe (n) 秘诀, 食谱, 药方Passage 3 (Good New for Americans)1.troop (n) 军队, 群, 组,2.previously (adv) 先前, 在此之前3.abundant (adj) 丰富的, 充裕的4.at a rate: 按 ... 的比率(以 ... 的速度)5.approach (vt) 靠近, 接近, 动手处理 (n) 途径, 方法6.treble (vt) （使）成三倍7.Yank (n) 美国佬8.propaganda (n) 宣传9.generous (adj) 慷慨的, 宽宏大量的, 丰厚的, 丰盛的, 味浓的10.original (adj) 原始的, 最初的, 有独创性的, 原版的11.jubilant (adj) 欢呼的, 喜悦的, 喜洋洋的12.ambivilent (adj) 矛盾的, 摇摆不定的13.somber (adj) 微暗的, 阴暗的, 忧郁的, 严肃的, 严峻的14.charitable (adj) 仁慈的, (为)慈善事业的, 宽恕的15.surrender (vt) 投降, 屈服, 让与, 放弃16.casualty (n) 事故, 伤亡者, 伤亡人数Passage 4 (Po-wan)1.clink (vi) (使)叮当响2.distress (n) 不幸, 危难, 苦恼, 痛苦3.destitute (adj) 穷困的, 赤贫的, 缺乏的4.brood (n) 一窝, 一伙, 一家孩子5.starveling (n) 因饥饿而变瘦的人, 营养不良的人6.lodging (n) 寄宿处, 借宿7.wise (n) 方式, 方法(in such wise)8.dwindle (vi) 减少, 缩小9.scarcely (adv) 几乎不, 简直不10.flap (vi) 拍打, 鼓翼而飞11.threadbare (adj) 磨破的, 陈腐的12.seep (vi) 渗出, 渗漏13.marrow (n) 骨髓, 精华, 活力14.scrap (vi) 报废, 舍弃15.ponder (vt) 沉思, 考虑16.extravagantly (adv) 挥霍无度地17.evil (adj) 邪恶的, 有害的18.copper (n) 铜, 铜币19.confused (adj) 困惑的, 混乱的, 混杂的passionate (adj) 有同情心的21.pauper (n) 乞丐, 贫民, 穷人22.rag (n) 破布, 碎布, 破衣服23.frivolous (adj) 轻佻的, 妄动的, 琐碎的, 无足轻重的24.deserve (vt) 应受, 值得Passage 5 (The Story of Rikki-tikki-tavi)1.single-handed (adj) 单独一人的, 独立的, 单手的2.bungalow (n) (有凉台的)平房, 小屋3.cantonment (n) 训练营地, 兵营4.mongoose (n) [动]猫鼬5.weasel (n) 鼬鼠, 黄鼠狼, 狡猾的人6.scuttle (vi) 急走, 快跑7.burrow (n) (动物的)洞穴、地洞8.cluck (vi) 发咯咯声, 发啧啧声9.ditch (n) 沟渠, 壕沟10.funeral (n) 葬礼11.choke (vt) 使窒息, 阻塞, 抑制, 使说不出话12.wrap (vt) 包, 裹, 覆盖13.sneeze (vi) 打喷嚏14.scratch (vt) 抓, 搔（痒）15.immensely (adv) 极大地, 无限地16.roam (vi) 漫游, 闲逛, 徜徉17.nursery (n) 托儿所, 保育室18.beast (n) 兽, 畜牲19.bloodhound (n) 侦探犬, 侦探, 间谍20.muskrat (n) [动]麝鼠Passage 6 (Hospital Emergency Room)1.emergency room: 急诊室2.victim (n) 受害者, 受骗者, 牺牲3.simultaneously (adv) 同时地4.casualty (n) 事故, 伤亡者, 伤亡人数5.survive (vt/vi) 幸存6.allocate (vt) 分派, 分配, 分配额7.efficiently (adv) 高效率地, 有效地8.procedure (n) 程序, 手续, 步骤9.evaluate (vt) 评价, 评估10.stoppage (n) 停止plication (n) 复杂, 并发症, 纠纷ceration (n) 破口, 撕裂, 锯齿状的伤口13.fracture (n) 破碎, 骨折14.flu (n) 流行性感冒15.appropriate (adj) 适当的16.admit (vt) 容许, 承认, 接纳17.prioritize (vt) 把...区分优先次序18.get ride of: 避免, 摆脱, 除去19.distinguish (vi) 区别, 辨认, 使显著20.manual (n) 指南, 手册Passage 7 (Priest)1.deserted (adj) 荒芜的, 荒废的, 为人所弃的2.heap (n) 堆, 许多3.cautiously (adv) 慎重地, 谨慎地4.advance (vt) 前进5.troop (n) 群, 组, 军队6.amount (vi) (to) 总计, 等于7.halt (vi) 停止, 中止, 暂停8.clad (vt) 给 ... 穿衣, 覆盖nce (n) 枪矛, 矛状器具, 鱼叉, 配矛骑兵10.charge (vi) 装满, 控诉, 责令, 告诫11.dissolve (vi) 溶解, 消散12.behold (vt) 看到, 注视, 领悟13.vanish (vt) 消失14.hallucination (n) 幻觉, 幻想15.demon (n) 魔鬼, 恶魔, 精力充沛的人, 高手16.void (adj) 空的, 无效的, 缺乏的pose (vt) 使镇静18.watchtower (n) 瞭望塔19.lookout (n) 望员, 监视哨, 看守20.conceal (vt) 隐藏, 隐蔽, 隐瞒21.hollow (n) 洞, 窟窿, 山谷22.vessel (n) 船, 容器, 器皿, 脉管, 导管23.graze (vt) 放牧, 吃草, 擦伤, 擦过24.steed (n) [诗]马, 战马25.whilst (adv) <英>当 ... 时mander (n) 司令官, 指挥官27.guard house: 禁闭室28.wagon (n) 四轮马车, 货车29.arm (vt) 武装, 装备。
美国留学：如何读懂SSAT成绩单
美国留学：如何读懂SSAT成绩单SSAT考试的评分系统非常的科学和完善，既有绝对化的等级分数(scale score)，又有相对化的百分比成绩(percentile)。
在核查成绩时，私立中学的招生官们主要就是依据这个数据来决定的。
下面跟店铺一起来看看SSAT的成绩单包含哪些成绩，又该如何看吧?以一个学生的成绩单为例：Your SSAT Scores ：Upper Level Score Range : 500-800*Verbal Score 659(Personal Score Range: 638 - 680, SSAT Percentile 47%)*Math Score 788(Personal Score Range: 767 - 800, SSAT Percentile 90%)*Reading Score 581(Personal Score Range: 560 - 602, SSAT Percentile 13%)*Total Score 2028(Personal Score Range: NA, SSAT Percentile 48%)What Does My SSAT Percentile Mean?Your SSAT percentile is a score between 1 and 99. Your score compares your performance on the test to the performances of the other students of the same grade and gender who have taken the SSAT within the past three years. For example, if seventh-grader Sue Smith received a 65 SSAT percentile, she did as well as or better than 65% of the other 7th grade girls who took the SSAT in the past three years.评分因素有以下三项：标准分数(scale score)根据选择题的对错空情况，进行计分。
360°全面解析SSAT考试
360°全面解析SSAT考试SSAT考试作为近年来国内中小学生低龄留学潮中的标志性考试之一，SSAT考试也是申请美国中学必备的标准化考试成绩，虽然普及程度还远不及托福和雅思，但是SSAT考试每年的增长人数确实相当快。
由于SSAT考试是申请当年有效，大部分考生申请都集中在秋冬季节，因此每年11月、12月和1月的考试是最及时有效的，而3月和4月的考试成绩出来后，最优秀的中学招生往往已经截止，所以用途有限。
因此考生和家长务必要提前准备，争取在11月、12月的考试中一举成功。
考生该如何备考才能取得一个优异的成绩?SSAT考试扫描考生人数一直保持稳定近几年来报考SSAT的人数一直较为稳定，稳定的原因在于第一，中国学生去美国读私立高中，至少需要提供200万以上的保证金，每年的费用也不菲，这对很多家庭来说都是一笔不小的费用;其次，孩子还小，很多学生都舍不得。
相比之下，家长更倾向于让孩子去美国读大学。
SSAT备考攻略词汇和阅读是中国学生的软肋SSAT考试共分为四个部分：词汇、阅读、数学和写作。
前三个部分为计分项目，写作部分虽然不计分但是会在寄送官方成绩给学校时以复印件一并送达，所以也需要重视。
考试的时间和题目数目可以用下表表示：这个考试时间短，题目多，对于初中生来说难度还是比较大的。
另外中国孩子目前最困难的两个部分：词汇和阅读，特别是词汇，由于目前中国的初中生的词汇量充其量只有3000个左右，而SSAT低年级的词汇要求已达到7000个，而高年级的词汇要求为9000个甚至可以上万个，为了取得一个理想的分数，需要尽早开始准备。
想要在SSAT考试中，考试需要至少3个月的密集训练，包括背单词和做题。
SSAT考试全解剖SSAT分为两个级别中国学生集中在第二级别SSAT考试分为两个级别：Lower Level (低年级)和Upper Level(高年级)。
根据级别的不同，分数也会有一些差异。
Lower Level 一般是针对5—7年级的在读学生;Upper Level 一般是针对8—11年级的在读学生。
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SECTION 125 QuestionsFollowing each problem in this section, there are five suggested answers. Work each problem in your head or in the blank space provided at the right of the page. Then look at the five suggested answers and decide which one is best.Note: Figures that accompany problems in this section are drawn as accurately as possible EXCEPT when it is stated in a specific problem that its figure is not drawn to scale.Sample problem:1.If three times a number is 9, what is the number?(A)2(B)3(C)6(D)12(E) 272.If three dozen slices of pizza are divided equallyamong 36 people at a birthday party, how many slices will each person have?(A)1(B)2(C)3(D)4(E)12 USE THIS SPACE FOR FIGURING.3.Which of the following numbers is divisible by 6?(A)353(B)356(C)358(D)360(E)3624.19+31+11 is closest to(A)10+30+10(B)15+40+10(C)20+30+10(D)20+30+20(E)20+40+155.14 ,28 ,312 , 4∎ , …In the number pattern above, ∎ =(A)10(B)12(C)14(D)16(E)206.Aaron received tickets to a concert and divided themequally among himself and his four friends. Which ofthe following expressions shows the number of tickets that each person received?(A) /4(B) +4(C) −4(D) −5(E) /57.Caroline had a one hour nap, and then slept for sevenhours. What fraction of the full day was Carolineasleep?(A)14(B)13(C)23(D)424(E)7248.If =2and =19 ,then =(A)9.5(B)17(C)21(D)29(E)389.Nathan reads four books in the fall and two books inthe winter. In the summer, he reads twice the number of books he reads in the fall. In the spring, he readshalf the number of books he reads in the fall. If hecontinues to read at the same rate, how many bookswill he read in two full years?(A)16(B)18(C)22(D)24(E)3210.In Figure 1, the radius of the circle is 4. If a linesegment is drawn inside the circle so it does notextend beyond the circle’s outer edge, the line segment could have any of the following lengths EXCEPT:(A)10(B)8(C)7(D)6(E)411.The cost of go-karting is dollars for the first ten lapsaround the track and dollars for each additional lap.What is the cost, in dollars, of go-karting for 17 laps?(A) +( × 7)(B) +( × 7)(C)( ×10)+(D)( ×10)+(E)17+ +12.If Figure 2 is a rectangle, then =(A)45(B)60(C)90(D)180(E)36013.If 40 percent of a number is 200, then 10 percent ofthe same number is(A)10(B)20(C)50(D)140(E)190Figure 1 Figure 2Questions 14-15 are based on the graph in Figure 3.14. Which of the following statements is correct?(A) In 2004, Jack sold exactly twice as manytelevisions as he sold in 2002. (B) Jack sold the same number of televisionsin 2005 as in 2007. (C) In 2007, Jack sold more than twice asmany televisions as in 2003. (D) Jack sold the most televisions in 2007. (E) None of the above statements arecorrect.15. In 2006, the employee of the year sold 36 televisions.In 2006, Jack’s television sales were what fraction of the employee of the year’s sales?(A) 12(B) 13 (C) 23(D) 35 (E) 6716. A safari company offers group tours that cost $100 fortwo people and $20 more for each additional person. If five people share the cost of the tour equally, how much does each person pay?(A) $20.00 (B) $24.00 (C) $32.00 (D) $35.00 (E) $40.00246810121416182022200220032004200520062007N u m b e r o f T e l e v i s i o n s S o l dJack's Annual Television SalesFigure 317.498.57=(A)49+ + +(B)498++(C)498++(D)498+ +(E)498++18.In Figure 4, LMNO is a square. If the length of KL is 8and the length of LO is 3, what is the area of therectangle JKMN?(A)21(B)24(C)28(D)33(E)3619.There were 17 sunny days this year, which was 18fewer than last year. Two years ago, there were three times as many sunny days as there were this year.How many total sunny days were there in all threeyears?(A)35(B)51(C)54(D)103(E)104JK LOMNFigure 4Figure 520. How many fifths are there in 5?(A) 1 (B) 2 (C) 5 (D) 25 (E) 2721. The Smith family has four children. Matt is 5 yearsolder than Kim. Kim is half Kyle’s age. Meg is older than Kyle, but not Matt. Who is the second youngest child?(A) Matt (B) Kim (C) Kyle (D) Meg(E) It cannot be determined from the informationgiven.22. In Figure 5, an empty glass with a flat, circular rim isplaced upside down on a piece of paper. Which of the following shows all of the points where the glass touches the paper?(A)(B)(C)(D)(E)23.Patrick started at point A. He traveled 2 km north, 2km east, 2 km south, and 3 km west. How far is hefrom where he started?(A)1 km north(B)1 km east(C)1 km west(D)2 km south(E)3 km west24.If ∎ = + 2, what is the value of∎2?(A)5(B)7(C)8(D)10(E)1225.The sum of three consecutive odd numbers is 171.What is the largest number?(A)55(B)57(C)58(D)59(E)61STOPIF YOU FINISH BEFORE TIME IS CALLED,YOU MAY CHECK YOUR WORK ON THIS SECTION ONLY.DO NOT TURN TO ANY OTHER SECTION IN THE TEST.。