商务统计复习题集

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商务统计学笔试复习题

一、 The manager of the customer service division of a major consumer electronics company is interested in determining whether the customers who have purchased a videocassette recorder made by the company over the past 12 months are satisfied with their products.1., the population of interest isa)all the customers who have bought a videocassette recorder madeby the company over the past 12 months.b)all the customers who have bought a videocassette recorder madeby the company and brought it in for repair over the past 12 months.c)all the customers who have used a videocassette recorder over thepast 12 months.d)all the customers who have ever bought a videocassette recordermade by the company.ANSWER:a2., which of the following will be a good frame for drawing a samplea)Telephone directory.b)Voting registry.c)The list of customers who returned the registration card.d) A list of potential customers purchased from a database marketingcompany.ANSWER:c3.the possible responses to the question "How many videocassette recordersmade by other manufacturers have you used" are values from aa)discrete random variable.b)continuous random variable.c)categorical random variable.d)parameter.ANSWER:a4. the possible responses to the question "Are you happy, indifferent, orunhappy with the performance per dollar spent on the videocassette recorder" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:cTYPE: MC DIFFICULTY: EasyKEYWORDS: categorical random variable, types of data5.the possible responses to the question "What is your annual income roundedto the nearest thousands" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:a6.the possible responses to the question "How much time do you use thevideocassette recorder every week on the average" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:b7.the possible responses to the question "How many people are there in yourhousehold" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:a8.the possible responses to the question "How would you rate the qualityof your purchase experience with 1 = excellent, 2 = good, 3 = decent,4 = poor,5 = terrible" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER: c9.the possible responses to the question "What brand of videocassetterecorder did you purchase" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:c10.the possible responses to the question "Out of a 100 point score with100 being the highest and 0 being the lowest, what is your satisfaction level on the videocassette recorder that you purchased" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:a11.the possible responses to the question "In which year were you born" arevalues from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:a二、The chancellor of a major university was concerned about alcohol abuse on her campus and wanted to find out the proportion of students at herHer assistant took a random sample of 250 students. The total number of students in the sample who visited campus bars on the weekend before the final exam week is an example ofe) a categorical random variable.f) a discrete random variable.g) a continuous random variable.h) a parameter.ANSWER:b三、T he chancellor of a major university was concerned about alcohol abuse onher campus and wanted to find out the proportion of students at her university who visited campus bars on the weekend before the final exam week.Her assistant took a random sample of 250 students and computed the portion of students in the sample who visited campus bars on the weekend before the final exam. The portion of all students at her university who visited campus bars on the weekend before the final exam week is an example ofi) a categorical random variable.j) a discrete random variable.k) a continuous random variable.l) a parameter.ANSWER:d四、T he chancellor of a major university was concerned about alcohol abuse onher campus and wanted to find out the proportion of students at herHer assistant took a random sample of 250 students. The portion of students in the sample who visited campus bars on the weekend before the final exam week is an example of __________.m) a categorical random variable.n) a discrete random variable.o) a parameter.p) a statisticANSWER:d五、The ordered array below resulted from taking a sample of 25 batches of 500 computer chips and determining how many in each batch were defective.Defects1 2 4 4 5 5 6 7 9 9 12 12 1517 20 21 23 23 25 26 27 27 28 29 291.Referring to Table 2-11, if a frequency distribution for the defects datais constructed, using "0 but less than 5" as the first class, the frequency of the “20 but less than 25” class would be ________.ANSWER:42.Referring to Table 2-11, if a frequency distribution for the defects datais constructed, using "0 but less than 5" as the first class, the relative frequency of the “15 but less than 20” class would be ________.ANSWER:or 8% or 2/253.Referring to Table 2-11, construct a frequency distribution for thedefects data, using "0 but less than 5" as the first class.ANSWER:Defects Frequency0 but less than 5 45 but less than 10 610 but less than 15 215 but less than 20 220 but less than 25 425 but less than 30 74.Referring to Table 2-11, construct a relative frequency or percentagedistribution for the defects data, using "0 but less than 5" as the first class.ANSWER:Defects Percentage0 but less than 5 165 but less than 10 2410 but less than 15 815 but less than 20 820 but less than 25 1625 but less than 30 28for the defects data if the corresponding frequency distribution uses "0 but less than 5" as the first class.ANSWER:Defects CumPct0 05 1610 4015 4820 5625 7230 1006.Referring to Table 2-11, construct a histogram for the defects data, using"0 but less than 5" as the first class.ANSWER:the defects data if the corresponding frequency distribution uses "0 but less than 5" as the first class.ANSWER:Cumulative Percentage Polygon0%10%20%30%40%50%60%70%80%90%100%0510********Number of Defects六、Health care issues are receiving much attention in both academic and political arenas. A sociologist recently conducted a survey of citizens over 60 years of age whose net worth is too high to qualify for Medicaid and have no private health insurance. The ages of 25 uninsured senior citizens were as follows:60 61 62 63 64 65 66 68 68 69 70 73 7374 75 76 76 81 81 82 86 87 89 90 921. Referring to Table 3-1, calculate the arithmetic mean age of the uninsuredsenior citizens to the nearest hundredth of a year.ANSWER:years2.Referring to Table 3-1, identify the median age of the uninsured seniorcitizens.ANSWER:73 years3.Referring to Table 3-1, identify the first quartile of the ages of theuninsured senior citizens.ANSWER:years4.Referring to Table 3-1, identify the third quartile of the ages of theuninsured senior citizens.ANSWER:years5.Referring to Table 3-1, identify the interquartile range of the ages ofthe uninsured senior citizens.ANSWER:16 years6.Referring to Table 3-1, identify which of the following is the correctstatement.a)One fourth of the senior citizens sampled are below years of age.b)The middle 50% of the senior citizens sampled are between andyears of age.c)The average age of senior citizens sampled is years of age.d)All of the above are correct.ANSWER:a7.Referring to Table 3-1, identify which of the following is the correctstatement.a)One fourth of the senior citizens sampled are below 64 years ofage.b)The middle 50% of the senior citizens sampled are between andyears of age.c)25% of the senior citizens sampled are older than years of age.d)All of the above are correct.ANSWER:c8.Referring to Table 3-1, what type of shape does the distribution of thesample appear to haveANSWER:Slightly positive or right-skewed.9.Referring to Table 3-1, calculate the variance of the ages of theuninsured senior citizens correct to the nearest hundredth of a year squared.ANSWER:years210.Referring to Table 3-1, calculate the standard deviation of the ages ofthe uninsured senior citizens correct to the nearest hundredth of a year.ANSWER:years11.Referring to Table 3-1, calculate the coefficient of variation of theages of the uninsured senior citizens.ANSWER:%七、The stem-and-leaf display below represents the number of cargo manifests approved by customs inspectors of the Port of New York in a sample of 35 days.STEM LEAVES1H 678892L 0042H 993L 1122Note (1): 1H means the “high teens” 15, 16, 17, 18, or 19; 2L means the “low twenties” 20, 21, 22, 23, or 24; 2H means the “high twenties” 25, 26, 27, 28, or 29, etc.Note (2): For this sample, the sum of the observations is 838, the sum of the squares of the observations is 20,684, and the sum of the squared differences between each observation and the mean is .1.Referring to Table 3-4, the arithmetic mean of the customs data is________.ANSWER:2.Referring to Table 3-4, the median of the customs data is ________.ANSWER:233.Referring to Table 3-4, the first quartile of the customs data is________.ANSWER:214.Referring to Table 3-4, the third quartile of the customs data is________.ANSWER:275.Referring to Table 3-4, the range of the customs data is ________.ANSWER:166.Referring to Table 3-4, the interquartile range of the customs data is________.ANSWER:67.Referring to Table 3-4, the variance of the customs data is ________.ANSWER:8.Referring to Table 3-4, the standard deviation of the customs data is________.ANSWER:9.Referring to Table 3-4, the coefficient of variation of the customs datais ________ percent.ANSWER:% or 18%10.Referring to Table 3-4, the five-number summary for the data in thecustoms sample consists of ________, ________, ________, ________, ________.ANSWER:16, 21, 23, 27, 3211.Referring to Table 3-4, construct a boxplot of this sample.Box-and-whisker Plot101520253035ANSWER:八、Times spent studying by students in the week before final exams follow a normal distribution with standard deviation 8 hours. A random sample of 4 students was taken in order to estimate the mean study time for the population of all students.1.what is the probability that the sample mean exceeds the population meanby more than 2 hoursANSWER:2. what is the probability that the sample mean is more than 3 hours belowthe population meanANSWER:3.what is the probability that the sample mean differs from the populationmean by less than 2 hoursANSWER:using Excel or using Table4.what is the probability that the sample mean differs from the populationmean by more than 3 hoursANSWER:using Excel or using Table九、A quality control engineer is interested in the mean length of sheet insulationbeing cut automatically by machine. The desired length of the insulation is 12 feet. It is known that the standard deviation in the cutting length is feet.A sample of 70 cut sheets yields a mean length of feet. This sample will beused to obtain a 99% confidence interval for the mean length cut by machine.1.Referring to Table 8-3, the critical value to use in obtaining theconfidence interval is ________.ANSWER:2.Referring to Table 8-3, the confidence interval goes from ________ to________.ANSWER:to3.True or False: Referring to Table 8-3, the confidence interval indicatesthat the machine is not working properly.ANSWER:True4.True or False: Referring to Table 8-3, the confidence interval is validonly if the lengths cut are normally distributed.ANSWER:FalseEXPLANATION: With a sample size of 70, this confidence interval will still be valid if the lengths cut are not normally distributed due to the central limit theorem.KEYWORDS: confidence interval, mean, standardized normal distribution, central limit theorem5.Referring to Table 8-3, suppose the engineer had decided to estimate themean length to within with 99% confidence. Then the sample size would be ________.ANSWER:rounds up to 166十、A manager of the credit department for an oil company would like to determine whether the average monthly balance of credit card holders is equal to $75. An auditor selects a random sample of 100 accounts and finds that the average owed is $ with a sample standard deviation of $. If you were to conduct a test to determine whether the auditor should conclude that there is evidence that the average balance is different from $75, which test would you usea)Z-test of a population meanb)Z-test of a population proportionc)t-test of population meand)t-test of a population proportionANSWER:c十一、A manager of the credit department for an oil company would like to determine whether the average monthly balance of credit card holders is equal to $75. An auditor selects a random sample of 100 accounts and finds that the average owedis $ with a sample standard deviation of $. If you wanted to test whether the average balance is different from $75 and decided to reject the null hypothesis, what conclusion could you drawe)There is not evidence that the average balance is $75.f)There is not evidence that the average balance is not $75.g)There is evidence that the average balance is $75.h)There is evidence that the average balance is not $75.ANSWER:d十二、The marketing manager for an automobile manufacturer is interested in determining the proportion of new compact-car owners who would have purchased a passenger-side inflatable air bag if it had been available for an additional cost of $300. The manager believes from previous information that the proportion is . Suppose that a survey of 200 new compact-car owners is selected and 79 indicate that they would have purchased the inflatable air bags. If you were to conduct a test to determine whether there is evidence that the proportion is different from , which test would you usei)Z-test of a population meanj)Z-test of a population proportionk)t-test of population meanl)t-test of a population proportionANSWER:b十三、A student claims that he can correctly identify whether a person is a business major or an agriculture major by the way the person dresses. Supposein actuality that if someone is a business major, he can correctly identify that person as a business major 87% of the time. When a person is an agriculture major, the student will incorrectly identify that person as a business major 16% of the time. Presented with one person and asked to identify the major of this person (who is either a business or agriculture major), he considers this to be a hypothesis test with the null hypothesis being that the person is a business major and the alternative that the person is an agriculture major.2.Referring to Table 9-2, what would be a Type I errora)Saying that the person is a business major when in fact the personis a business major.b)Saying that the person is a business major when in fact the personis an agriculture major.c)Saying that the person is an agriculture major when in fact theperson is a business major.d)Saying that the person is an agriculture major when in fact theperson is an agriculture major.ANSWER:c3.Referring to Table 9-2, what would be a Type II errora)Saying that the person is a business major when in fact the personis a business major.b)Saying that the person is a business major when in fact the personis an agriculture major.c)Saying that the person is an agriculture major when in fact theperson is a business major.d)Saying that the person is an agriculture major when in fact theperson is an agriculture major.ANSWER:b4.Referring to Table 9-2, what is the “actual level of significance” ofthe testa)b)c)d)ANSWER:a5.Referring to Table 9-2, what is the “actual confidence coefficient”a)b)c)d)ANSWER:d6.Referring to Table 9-2, what is the value ofa)b)c)d)ANSWER:a7.Referring to Table 9-2, what is the value ofa)b)c)d)ANSWER:b十四、Are Japanese managers more motivated than American managers A randomly selected group of each were administered the Sarnoff Survey of Attitudes Toward Life (SSATL), which measures motivation for upward mobility. The SSATL scores are summarized below.American JapaneseSample Size211100Mean SSATL ScorePopulation Std. Dev.1.Referring to Table 10-1, judging from the way the data were collected,which test would likely be most appropriate to employa)Paired t testb)Pooled-variance t test for the difference between two meansc)Independent samples Z test for the difference between two meansd)Related samples Z test for the mean differenceANSWER:c2. Referring to Table 10-1, give the null and alternative hypotheses todetermine if the average SSATL score of Japanese managers differs from the average SSATL score of American managers.a) H 0: μA –μJ ≥0 ver sus H 1: μA –μJ <0 b) H 0: μA –μJ ≤0 ver sus H 1: μA –μJ >0 c) H 0: μA –μJ =0 ver sus H 1: μA –μJ ≠0 d) H 0: X A –X J =0 versus H 1: X A –X J ≠0ANSWER: c3. Referring to Table 10-1, assuming the independent samples procedure wasused, calculate the value of the test statistic.a) Z =65.75–79.839.82211+9.82100b) Z =65.75–79.8311.07211+6.41100c) Z =65.75–79.839.822211+9.822100d) Z =65.75–79.8311.072211+6.412100ANSWER: d4. Referring to Table 10-1, suppose that the test statistic is Z = . Findthe p -value if we assume that the alternative hypothesis was a two-tailed test (0– :1≠J A H μμ).b)c)d)ANSWER:b十五、An airline wants to select a computer software package for its reservation system. Four software packages (1, 2, 3, and 4) are commercially available. The airline will choose the package that bumps as few passengers, on the average,as possible during a month. An experiment is set up in which each package is used to make reservations for 5 randomly selected weeks. (A total of 20 weekswas included in the experiment.) The number of passengers bumped each week is obtained, which gives rise to the following Excel output:ANOVASource of Variation SS df MS F P-value F crit Between Groups3Within GroupsTotal1.Referring to Table 10-15, the within groups degrees of freedom ise)3f)4g)16h)19ANSWER:c2.Referring to Table 10-15, the total degrees of freedom isi)3j)4l)19ANSWER:d3.Referring to Table 10-15, the among-group (between-group) mean squaresism)n)o)p)ANSWER:b4.Referring to Table 10-15, at a significance level of 1%,q)there is insufficient evidence to conclude that the average numbers of customers bumped by the 4 packages are not all the same.r)there is insufficient evidence to conclude that the average numbers of customers bumped by the 4 packages are all the same.s)there is sufficient evidence to conclude that the average numbers of customers bumped by the 4 packages are not all the same.t)there is sufficient evidence to conclude that the average numbers of customers bumped by the 4 packages are all the same.ANSWER:c十六、A study published in the American Journal of Public Health was conducted to determine whether the use of seat belts in motor vehicles depends on ethnicstatus in San Diego County. A sample of 792 children treated for injuries sustained from motor vehicle accidents was obtained, and each child was classified according to (1) ethnic status (Hispanic or non-Hispanic) and (2) seat belt usage (worn or not worn) during the accident. The number of children in each category is given in the table below.1.Referring to Table 11-1, the calculated test statistic isa)b)c)d)ANSWER:c2.Referring to Table 11-1, at 5% level of significance, the critical valueof the test statistic isa)b)c)d)ANSWER:a3.Referring to Table 11-1, at 5% level of significance, there is sufficientevidence to conclude thata)use of seat belts in motor vehicles is related to ethnic statusin San Diego County.b) use of seat belts in motor vehicles depends on ethnic status inSan Diego County.c) use of seat belts in motor vehicles is associated with ethnicstatus in San Diego County. d) All of the above.ANSWER: d十七、A large national bank charges local companies for using their services. A bank official reported the results of a regression analysis designed to predict the bank’s charges (Y ) -- measured in dollars per month -- for services rendered to local companies. One independent variable used to predict service charge to a company is the company’s sales revenue (X ) -- measured in millions of dollars. Data for 21 companies who use the bank’s services were used to fit the model :E (Y )=β0+β1XThe results of the simple linear regression are provided below.2,70020, 65, two-tailed value 0.034 (for testing )YX Y X S p β1=-+==1. Referring to Table 12-1, interpret the estimate of β0, the Y -interceptof the line.a) All companies will be charged at least $2,700 by the bank. b) There is no practical interpretation since a sales revenue of $0is a nonsensical value.c) About 95% of the observed service charges fall within $2,700 ofthe least squares line.d) For every $1 million increase in sales revenue, we expect a servicecharge to decrease $2,700.ANSWER:b2.Referring to Table 12-1, interpret the estimate of σ, the standarddeviation of the random error term (standard error of the estimate) in the model.a)About 95% of the observed service charges fall within $65 of theleast squares line.b)About 95% of the observed service charges equal theircorresponding predicted values.c)About 95% of the observed service charges fall within $130 of theleast squares line.d)For every $1 million increase in sales revenue, we expect a servicecharge to increase $65.ANSWER:c3.Referring to Table 12-1, interpret the p-value for testing whether β1 exceeds 0.a)There is sufficient evidence (at the α = to conclude that salesrevenue (X) is a useful linear predictor of service charge (Y).b)There is insufficient evidence (at the α = to conclude thatsales revenue (X) is a useful linear predictor of service charge(Y).c)Sales revenue (X) is a poor predictor of service charge (Y).d)For every $1 million increase in sales revenue, we expect a servicecharge to increase $.ANSWER:ais (15, 30).4.Referring to Table 12-1, a 95% confidence interval for β1 Interpret the interval.a)We are 95% confident that the mean service charge will fall between$15 and $30 per month.b)We are 95% confident that the sales revenue (X) will increasebetween $15 and $30 million for every $1 increase in service charge(Y).c)We are 95% confident that average service charge (Y) will increasebetween $15 and $30 for every $1 million increase in sales revenue(X).d)At the α = level, there is no evidence of a linear relationshipbetween service charge (Y) and sales revenue (X).ANSWER:c。

《商务统计学》题集

《商务统计学》题集一、选择题（每题2分，共10分）1.下列哪项不属于商务统计学的应用范围？A. 市场调查B. 质量控制C. 财务分析D. 天气预测2.在统计学中，总体是指什么？A. 研究的全部对象B. 研究中的一部分对象C. 某个具体的样本D. 某一特定数据3.下列哪种抽样方法是随机抽样？A. 方便抽样B. 系统抽样C. 配额抽样D. 判断抽样4.如果一组数据的均值是20，中位数是22，那么这组数据的分布可能是？A. 正偏态B. 负偏态C. 对称分布D. 无法确定5.在回归分析中，解释变量和被解释变量分别是什么？A. 因变量和自变量B. 自变量和因变量C. 都是自变量D. 都是因变量二、填空题（每空1分，共10分）1.在统计学中，用来衡量数据分布集中趋势的指标有______、______和______。

2.若一组数据的四分位数Q1=10，Q2=20，Q3=30，则该组数据的中位数为______。

3.在假设检验中，如果P值小于显著性水平α，则我们______原假设。

4.统计表中，频数和频率分别表示数据的______和______。

5.在回归分析中，回归系数的经济意义是解释变量每增加一个单位，被解释变量平均增加______单位。

三、判断题（每题1分，共10分）1.统计学的目的是收集、整理、分析和解释数据，从而帮助人们做出决策。

（）2.在正态分布中，均值、中位数和众数三者相等。

（）3.标准差是衡量数据波动大小的一个重要指标，标准差越大，说明数据的波动越大。

（）4.在假设检验中，如果P值大于显著性水平α，则我们有足够的证据拒绝原假设。

（）5.相关系数r的取值范围是[-1, 1]，r=1表示完全正相关，r=-1表示完全负相关。

（）6.如果一组数据的偏度系数大于0，则说明这组数据是正偏态分布。

（）7.在抽样调查中，样本容量越大，抽样误差就越小。

（）8.统计推断是通过样本数据来推断总体的特征。

（）9.移动平均法是一种常用的时间序列预测方法。

商务统计学复习题

复习题一、单项选择题1.下列数据属于名义尺度(nominal scale)的是（）A．性别B) 年龄C)体重D)年级2.下列数据属于名义尺度(nominal scale)数据的是（）。

A．性别 B. 年龄 C. 体重 D. 年级3.下列数据属于区间尺度(order scale)数据的是（）。

A．气温 B. 产量 C. 体重 D.年级4.针对z-分数(z-score)，下列说法不正确的是（）。

A. 若z-分数小于0，则变量值小于平均数B. 若z-分数大于0，则变量值大于平均数C. 若z-分数等于0，则变量值等于平均数D. 若z-分数等于0，则变量值等于05.下列选项中，不属于变异指标(measure of variability)的是（）A) 平均数B) 极差C) 标准差D) 变异系数6.下列几种分布中，属于离散型随机变量(discrete random variable)的分布的是（）。

A. 二项分布B. 泊松分布C.D. 超几何分布7.下列几种常见的分布中，属于连续型随机变量(continuous random variable)的分布的是（）。

A. 二项分布B. 泊松分布C. 指数分布D. 超几何分布8.一个特定研究中感兴趣的对象的全体称为（）A) 样本(sample) B) 参数(a parameter)C) 统计量(statistic)D) 总体(population)9. 下列不属于描述统计(descriptive statistics)常用形式的是（）A) 绘制图形B) 绘制表格C) 计算平均数D) 区间估计10. 下列属于统计推断(statistical inference)内容的是（）A) 绘制图形B) 绘制表格C) 计算平均数D) 区间估计11. 下列图形中，不能用于分类数据(categorical data)的是（）A)条形图B) 茎叶图C) 柱状图D) 饼状图12. 商务数据的相对频数( relative frequency)之和为（）A)1 B) 2 C) 0 D)不确定13. 若偏度=-0.85，则该组数据的分布形态为（）A)适度左偏B) 适度右偏C) 对称D) 无法确定14. 若偏度=0.85，则该组数据的分布形态为（）A.适度左偏B.适度右偏C.对称D.无法确定15.当总体服从正态分布时，样本均值x 的抽样分布(sampling distribution)服从于（）。

商务统计试题5精选全文

精选全文完整版（可编辑修改）《商务统计》试题5------------------------------------------------------------------------------------------------------------------------一、判断题（每题1分，共10分）1.应用切比雪夫定理估计与平均数的距离在z个标准差之内的数据项所占比例时，z的取值可以是任意正数( )。

2.条形图和直方图都可以用于描述分类数据的频数分布、相对频数分布或百分比频数分布( )。

3.在样本容量一定的情况下，为了确保更高的置信度，置信区间的宽度必须变大( )。

4.事件A与其补A c是互斥的( )。

5.无论是单侧检验还是双侧检验，如果p值≤α，则拒绝原假设H0( )。

6.对于简单随机样本，样本均值x̅的数学期望、标准差受到样本容量n的影响 ( )。

7.在联列表中，两个变量必须都是分类变量或者都是数值型变量( )。

8.当分类数据用数值表示时，可以进行有意义的算术运算( )。

9.在满足一定条件时，可以用正态分布近似计算二项分布 ( )。

10.方差分析仅能用于实验性研究得到的数据而不能用于观测性研究得到的数据( )。

二、单项选择题（每题2分，共30分）1.由于改变生产方法所需的时间和成本都很大，所以在一种新方法实施之前，制造负责人必须使管理人员确信，推荐的制造方法能降低成本。

目前生产方法的平均成本是每小时22美元。

一项调研工作是在样本生产期同，测量新方法的成本。

以下假设合适的是( )。

A. H0:μ≥22 H a:μ<22B.H0:μ≤22 H a:μ>22C.H0:μ>22 H a:μ≤22D.H0:μ<22 H a:μ≥222.以下关于众数的说法错误的是( )。

A.众数是数据集中出现频率最高的数据值B.众数仅适用于数值型数据C.众数是一种位置度量指标D.众数有可能存在两个或更多3.以下关于事件的概率说法错误的是( )。

商务统计-期末试题和答案-B讲课教案

一、单项选择题（共15题，每小题2 分，共30分）1. 统计学的两大基本内容是：A) 统计资料的收集和分析 B) 理论统计和运用统计 C ）统计预测和决策 D 描述统计和推断统计 2. 五位部门经理的年收入如右表：要描述五位部门经理的年收入的一般水平, 用___来测度这一集中趋势比较合适。

A ）众数B ）中位数C ）平均数D ）极差 3. 若随机事件A 与B 满足条件P(AB)=P(A)P(B)，则A) A 与B 相互独立 B) A 与B 不独立 C ）A 与B 相互排斥 D ) A 与B 相关 4. 某汽车交易市场共发生了150项交易，将销售记录按付款方式及汽车类型加以区分如下：）。

A ）0.95 B ）0.5 C ）0.8 D ）0.255. 当总体的大小为N ，方差为σ2，采用有放回的简单随机抽样，样本量为N ，其样本均值的标准误差为（）A ）nN n N 21σ•-- B ）nσ C ）nN n N σ•--1 D ）nNn N σ•-6. 某班学生的平均成绩是80分，标准差是10分。

如果已知该班学生的考试分数为对称分布，可以判断成绩在70~90分之间的学生大约占（） A) 95% B) 89% C) 68% D) 99%7. 所有可能实验结果的集合被称为一个（）：A ）样本空间B ）事件C ）实验D ）概率8. 用抽样的方法对一大批寄售的零部件的次品进行检查。

检查5个零部件，如果发现两个或者更多的次品，那么就全部拒收。

如果某次寄售的零部件包含10%的次品，那么这次寄售的零部件被拒收的概率大约是多少？A) 7% B) 8% C) 9% D) 10% 9. 某快餐店想要估计每位顾客午餐的平均花费，在为期3周的时间里选取49名顾客组成了一个简单随机样本。

假定总体标准差为15元，则样本均值的抽样标准误差为： A) 2.14 B) 5.66 C) 7.28 D) 15 10. 关于假设检验的两类错误，下列说法不正确的有A ）第一类错误被称为弃真错误.B ）第一类错误被称为纳伪错误.C ）第二类错误是原假设不正确，但却被接受的错误.D ）第一类错误是原假设正确，但却被拒绝的错误.11. 假设检验中，00:μμ≥H ，01:μμ<H ，N 为大样本，统计量Z=x μσ-,05.0=α，拒绝域为:A) Z<-1.96 B) Z>1.96 C) Z>1.65 D) Z<-1.65 12. 关于F 分布的说法，哪个是正确的?A) F 0.05,10,20 = 1/F 0.95,10,20 B) F 0.05,10,20 = 1/F 0.05,20,10 C) F 0.95,10,20 = 1/F 0.95,20,10 D) F 0.95,10,20 = 1/F 0.05,20,1013. 采取随机抽样抽取1000人，其中有450人支持候选人A ，那么支持候选人A 的置信度为95%的置信区间为:A) （1.645，1.96）. B) （0.40，0.50）. C) （0.45，0.55）. D) （0.419，0.481）. 14. 在方差分析中，检验统计量F 是（）。

商务统计试题及答案

商务统计试题及答案### 商务统计试题及答案#### 一、选择题1. 统计数据收集的方法不包括以下哪项？- A. 观察法- B. 实验法- C. 调查法- D. 假设法答案：D2. 以下哪项不是描述性统计分析的内容？- A. 数据的分类- B. 数据的汇总- C. 数据的推断- D. 数据的图表展示答案：C3. 在统计学中，中位数是指：- A. 数据集中出现次数最多的数值- B. 数据集的算术平均值- C. 将数据集从小到大排列后位于中间位置的数值 - D. 所有数据的和除以数据的个数答案：C#### 二、简答题1. 解释什么是标准差，并简述其在商务统计中的重要性。

标准差是衡量一组数据离散程度的统计量，它表示数据集中的数值与平均值的偏差平方的平均数的平方根。

在商务统计中，标准差用于评估数据的波动性，帮助决策者了解业务风险和市场波动。

2. 描述相关系数的概念及其在商务分析中的应用。

相关系数是度量两个变量之间线性关系强度和方向的统计指标。

在商务分析中，相关系数可以用来评估不同因素对业务结果的影响，例如，销售额与广告支出之间的关系。

#### 三、计算题1. 给定以下数据集：10, 12, 15, 20, 25, 请计算平均值、中位数和标准差。

- 平均值 = (10 + 12 + 15 + 20 + 25) / 5 = 18- 中位数 = 15（数据集从小到大排列后位于中间位置的数值）- 标准差= √[(Σ(xi - 平均值)²) / n] = √[(10 - 18)² + (12 - 18)² + ... + (25 - 18)²] / 5 ≈ 5.392. 假设某公司连续5个月的销售额分别为：30万、35万、40万、45万和50万。

计算这5个月的平均销售额和销售额的增长趋势。

- 平均销售额 = (30 + 35 + 40 + 45 + 50) / 5 = 40万- 销售额的增长趋势可以通过计算每月销售额的增长率来分析，例如，从第一个月到第二个月的增长率为 (35 - 30) / 30 * 100% = 16.67%。

商务统计复习题集.doc

商务统计复习题集《商务统计习题》一CZW1一、单选题；1、在数据采集活动中，进行观测记录的基本单位与总体屮的个体（）。

A、必须相同B、必须不同C、可以相同，也可以不同D、完全没有关系2、对于内部差异很大口有明显的不同类型界限或标志的总体，进行抽样调查应该采用的抽样方式是（）。

A、简单随机抽样B、系统抽样C、分层抽样D、整群抽样3、构成次数分布表的基本要素是（）oA、各个个体的名称与指标数值B、各组变量值与次数C、各组变量值与其方差D、各组均值与方差4、如果观测变量的取值很多且数值成比例变化，则编制次数分布表时采用（）。

A、单值B、等距分组C、异距分组D、复合分组5、统计指标是用来测度统计活动研究对象某种特征数量的（）。

《商务统计习题》一czw2A、概念B、数值C、概念和数值D、数值尺度6、统计指标口径是指统计指标所包括的（）。

A、总体大小B、个体多少C、理论范围D、具体范围7、统计推断是一种（）。

A、演绎推理B、完全归纳推理C、不完全归纳推理D、非逻辑推理。

8、根据斯特吉斯公式，对于样本容量为1000的一个观测样本，采用等距分组，英组数应该为（）。

A、9 组B、10 组C、11 组D、12 组9、从0-1分布总体屮进行不放回抽样，样本屮具有1值的个体数服从（）。

A、两点分布B、二项分布C、超几何分布D、泊松分布10、对于由观测变量的各个分组和各组变量总值顺序排列的分组分布表，计算算术平均数需采用的计算公式为（）0A、简单算术平均数B、加权算术平均数C、简单调和平均数D、加权调和平均数口、随机变量的观测值中出现次数最多的变量值是该变量的（）oA、众数B、中位数C、极值D、均值12、两个观测值之间如果存在同方向的线性函数关系，则二者的相关关系为（）。

A、0B、1C、-1D、0.5)o15、变量x 和y 的相关系数的符号，取决于（）。

A 、正态分布B 、x 分布C 、t 分布D 、均匀分布2 18、抽样分布是指（ )oA 、抽取样本的总体分布B 、样本自身的分布C 、样本统计量的分布D 、抽样观测变量的分布估计量是一个（）。

商务统计期末试题及答案

商务统计期末试题及答案【注意：以下为示例文章格式，实际内容与题目无关】一、选择题（每题2分，共30分）1. 下面哪个选项是正确的？A. 1+1=2B. 1+1=3C. 1+1=4D. 1+1=5答案：A2. 给定数据集的平均值为5，标准差为2，那么方差为多少？A. 1B. 2C. 4D. 8答案：C二、判断题（每题2分，共20分）1. 描述性统计是通过样本数据推断总体特征的方法。

答案：正确2. 概率分布函数可以描述随机变量的所有可能取值的概率。

答案：正确三、计算题1. 一个班级有30名学生，其中男生有20名，女生有10名。

请计算男生人数占总人数的比例，并将结果四舍五入到小数点后两位。

答案：20 / 30 = 0.67，四舍五入为 0.672. 有一个餐厅，星期一到星期五的销售额分别为1000、1500、1200、800、2000元，请计算平均销售额。

答案：(1000 + 1500 + 1200 + 800 + 2000) / 5 = 1100元3. 一家公司销售了3种产品，产品A的销售额占总销售额的30%，产品B的销售额占总销售额的40%，产品C的销售额为2000元，求总销售额。

答案：产品C的销售额占总销售额的30% + 40% = 70%，则总销售额为2000元 / 70% = 2857.14元四、应用题某公司进行了一次市场调研，调查了1000名顾客的购买行为。

以下是调查结果：- 500人购买了产品A- 300人购买了产品B- 200人购买了产品C- 100人购买了产品A和产品B- 50人购买了产品B和产品C- 20人购买了产品A和产品C- 10人购买了三种产品请回答以下问题：1. 购买了产品A但未购买产品B的顾客有多少人？答案：购买了产品A的人数减去购买了产品A和产品B的人数：500 - 100 = 400人2. 购买了产品B且同时购买了产品C的顾客有多少人？答案：购买了产品B和产品C的人数：50人3. 购买了至少一种产品的顾客有多少人？答案：购买了产品A、B或C的人数加上购买了三种产品的人数：500 + 300 + 200 - 10 = 990人五、简答题1. 请解释什么是样本调查？答：样本调查是从总体中选取一部分样本，并对这些样本进行调查和研究，通过对样本的观察和分析来推断总体的特征和规律。

商务统计学笔试复习题

一、The manager of the customer service division of a major consumer electronics company is interested in determining whether the customers who have purchased a videocassette recorder made by the company over the past 12 months are satisfied with their products.1., the population of interest isa)all the customers who have bought a videocassette recorder made by thecompany over the past 12 months.b)all the customers who have bought a videocassette recorder made by thecompany and brought it in for repair over the past 12 months.c)all the customers who have used a videocassette recorder over the past 12months.d)all the customers who have ever bought a videocassette recorder made bythe company.ANSWER:a2., which of the following will be a good frame for drawing a sample?a)Telephone directory.b)Voting registry.c)The list of customers who returned the registration card.d) A list of potential customers purchased from a database marketingcompany.ANSWER:c3.the possible responses to the question "How many videocassette recorders made byother manufacturers have you used?" are values from aa)discrete random variable.b)continuous random variable.c)categorical random variable.d)parameter.ANSWER:a4.the possible responses to the question "Are you happy, indifferent, or unhappywith the performance per dollar spent on the videocassette recorder?" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:cTYPE: MC DIFFICULTY: EasyKEYWORDS: categorical random variable, types of data5.the possible responses to the question "What is your annual income rounded to thenearest thousands?" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:a6.the possible responses to the question "How much time do you use thevideocassette recorder every week on the average?" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:b7.the possible responses to the question "How many people are there in yourhousehold?" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:a8.the possible responses to the question "How would you rate the quality of yourpurchase experience with 1 = excellent, 2 = good, 3 = decent, 4 = poor, 5 = terrible?"are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER: c9.the possible responses to the question "What brand of videocassette recorder didyou purchase?" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:c10.the possible responses to the question "Out of a 100 point score with 100 being thehighest and 0 being the lowest, what is your satisfaction level on the videocassetterecorder that you purchased?" are values from aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:a11.the possible responses to the question "In which year were you born?" are valuesfrom aa)discrete numerical random variable.b)continuous numerical random variable.c)categorical random variable.d)parameter.ANSWER:a二、The chancellor of a major university was concerned about alcohol abuse on her campus and wanted to find out the proportion of students at her university who visited campus bars on the weekend before the final exam week. Her assistant took a random sample of 250 students. The total number of students in the sample who visited campus bars on the weekend before the final exam week is an example ofe) a categorical random variable.f) a discrete random variable.g) a continuous random variable.h) a parameter.ANSWER:b三、T he chancellor of a major university was concerned about alcohol abuse on her campusand wanted to find out the proportion of students at her university who visited campus bars on the weekend before the final exam week. Her assistant took a randomsample of 250 students and computed the portion of students in the sample whovisited campus bars on the weekend before the final exam. The portion of allstudents at her university who visited campus bars on the weekend before the final exam week is an example ofi) a categorical random variable.j) a discrete random variable.k) a continuous random variable.l) a parameter.ANSWER:d四、T he chancellor of a major university was concerned about alcohol abuse on her campusand wanted to find out the proportion of students at her university who visited campus bars on the weekend before the final exam week. Her assistant took a randomsample of 250 students. The portion of students in the sample who visited campus bars on the weekend before the final exam week is an example of __________.m)a categorical random variable.n) a discrete random variable.o) a parameter.p) a statisticANSWER:d五、The ordered array below resulted from taking a sample of 25 batches of 500 computer chips and determining how many in each batch were defective.Defects1 2 4 4 5 5 6 7 9 9 12 12 1517 20 21 23 23 25 26 27 27 28 29 291.Referring to Table 2-11, if a frequency distribution for the defects data isconstructed, u sing "0 but less than 5" as the first class, the frequency of the “20 but less than 25” class would be ________.ANSWER:42.Referring to Table 2-11, if a frequency distribution for the defects data isconstructed, using "0 but less than 5" as the first class, the relative frequency of the “15 but less than 20” class would be ________.ANSWER:0.08 or 8% or 2/253.Referring to Table 2-11, construct a frequency distribution for the defects data,using "0 but less than 5" as the first class.ANSWER:Defects Frequency0 but less than 5 45 but less than 10 610 but less than 15 215 but less than 20 220 but less than 25 425 but less than 30 74.Referring to Table 2-11, construct a relative frequency or percentage distribution forthe defects data, using "0 but less than 5" as the first class.ANSWER:Defects Percentage0 but less than 5 165 but less than 10 2410 but less than 15 815 but less than 20 820 but less than 25 1625 but less than 30 285.Referring to Table 2-11, construct a cumulative percentage distribution for thedefects data if the corresponding frequency distribution uses "0 but less than 5" as the first class.ANSWER:Defects CumPct0 05 1610 4015 4820 5625 7230 1006.Referring to Table 2-11, construct a histogram for the defects data, using "0 but lessthan 5" as the first class.ANSWER:7. Referring to Table 2-11, construct a cumulative percentage polygon for the defectsdata if the corresponding frequency distribution uses "0 but less than 5" as the firstclass.ANSWER:Cumulative Percentage Polygon0%10%20%30%40%50%60%70%80%90%100%0510********Number of Defects六、Health care issues are receiving much attention in both academic and political arenas. A sociologist recently conducted a survey of citizens over 60 years of age whose net worth is too high to qualify for Medicaid and have no private health insurance. The ages of 25 uninsured senior citizens were as follows:60 61 62 63 64 65 66 68 68 69 70 73 7374 75 76 76 81 81 82 86 87 89 90 921. Referring to Table 3-1, calculate the arithmetic mean age of the uninsured seniorcitizens to the nearest hundredth of a year.ANSWER:74.04 years2.Referring to Table 3-1, identify the median age of the uninsured senior citizens.ANSWER:73 years3.Referring to Table 3-1, identify the first quartile of the ages of the uninsured seniorcitizens.ANSWER:65.5 years4.Referring to Table 3-1, identify the third quartile of the ages of the uninsured seniorcitizens.ANSWER:81.5 years5.Referring to Table 3-1, identify the interquartile range of the ages of the uninsuredsenior citizens.ANSWER:16 years6.Referring to Table 3-1, identify which of the following is the correct statement.a)One fourth of the senior citizens sampled are below 65.5 years of age.b)The middle 50% of the senior citizens sampled are between 65.5 and 73.0years of age.c)The average age of senior citizens sampled is 73.5 years of age.d)All of the above are correct.ANSWER:a7.Referring to Table 3-1, identify which of the following is the correct statement.a)One fourth of the senior citizens sampled are below 64 years of age.b)The middle 50% of the senior citizens sampled are between 65.5 and 73.0years of age.c)25% of the senior citizens sampled are older than 81.5 years of age.d)All of the above are correct.ANSWER:c8.Referring to Table 3-1, what type of shape does the distribution of the sampleappear to have?ANSWER:Slightly positive or right-skewed.9.Referring to Table 3-1, calculate the variance of the ages of the uninsured seniorcitizens correct to the nearest hundredth of a year squared.ANSWER:94.96 years210.Referring to Table 3-1, calculate the standard deviation of the ages of the uninsuredsenior citizens correct to the nearest hundredth of a year.ANSWER:9.74 years11.Referring to Table 3-1, calculate the coefficient of variation of the ages of theuninsured senior citizens.ANSWER:13.16%七、The stem-and-leaf display below represents the number of cargo manifests approved by customs inspectors of the Port of New York in a sample of 35 days.STEM LEAVES1H 678892L 00111222233334442H 55666788993L 1122Note (1): 1H means the “high teens” 15, 16, 17, 18, or 19; 2L means the “lowtwenties” 20, 21, 22, 23, or 24; 2H means the “high twenties” 25, 26, 27, 28, or 29, etc.Note (2): For this sample, the sum of the observations is 838, the sum of the squares of the observations is 20,684, and the sum of the squared differences between eachobservation and the mean is 619.89.1.Referring to Table 3-4, the arithmetic mean of the customs data is ________.ANSWER:23.92.Referring to Table 3-4, the median of the customs data is ________.ANSWER:233.Referring to Table 3-4, the first quartile of the customs data is ________.ANSWER:214.Referring to Table 3-4, the third quartile of the customs data is ________.ANSWER:275.Referring to Table 3-4, the range of the customs data is ________.ANSWER:166.Referring to Table 3-4, the interquartile range of the customs data is ________.ANSWER:67.Referring to Table 3-4, the variance of the customs data is ________.ANSWER:18.28.Referring to Table 3-4, the standard deviation of the customs data is ________.ANSWER:4.39.Referring to Table 3-4, the coefficient of variation of the customs data is ________percent.ANSWER:17.8% or 18%10.Referring to Table 3-4, the five-number summary for the data in the customssample consists of ________, ________, ________, ________, ________.ANSWER:16, 21, 23, 27, 3211.Referring to Table 3-4, construct a boxplot of this sample.Box-and-whisker Plot101520253035ANSWER:八、Times spent studying by students in the week before final exams follow a normaldistribution with standard deviation 8 hours. A random sample of 4 students was taken in order to estimate the mean study time for the population of all students.1.what is the probability that the sample mean exceeds the population mean by morethan 2 hours?ANSWER:0.30852.what is the probability that the sample mean is more than 3 hours below thepopulation mean?ANSWER:0.22663.what is the probability that the sample mean differs from the population mean byless than 2 hours?ANSWER:0.3829 using Excel or 0.3830 using Table E.24.what is the probability that the sample mean differs from the population mean bymore than 3 hours?ANSWER:0.4533 using Excel or 0.4532 using Table E.2九、A quality control engineer is interested in the mean length of sheet insulation being cutautomatically by machine. The desired length of the insulation is 12 feet. It is known that thestandard deviation in the cutting length is 0.15 feet. A sample of 70 cut sheets yields a mean length of 12.14 feet. This sample will be used to obtain a 99% confidence interval for the mean length cut by machine.1.Referring to Table 8-3, the critical value to use in obtaining the confidence interval is________.ANSWER:2.582.Referring to Table 8-3, the confidence interval goes from ________ to ________.ANSWER:12.09 to 12.193.True or False: Referring to Table 8-3, the confidence interval indicates that themachine is not working properly.ANSWER:True4.True or False: Referring to Table 8-3, the confidence interval is valid only if thelengths cut are normally distributed.ANSWER:FalseEXPLANATION: With a sample size of 70, this confidence interval will still be valid if the lengths cut are not normally distributed due to the central limit theorem.KEYWORDS: confidence interval, mean, standardized normal distribution, central limit theorem5.Referring to Table 8-3, suppose the engineer had decided to estimate the meanlength to within 0.03 with 99% confidence. Then the sample size would be________.ANSWER:165.8724 rounds up to 166十、A manager of the credit department for an oil company would like to determine whether the average monthly balance of credit card holders is equal to $75. An auditor selects a random sample of 100 accounts and finds that the average owed is $83.40 with a sample standard deviation of $23.65. If you were to conduct a test to determine whether the auditor should conclude that there is evidence that the average balance is different from $75, which test would you use?a)Z-test of a population meanb)Z-test of a population proportionc)t-test of population meand)t-test of a population proportionANSWER:c十一、A manager of the credit department for an oil company would like to determine whether the average monthly balance of credit card holders is equal to $75. An auditor selects a random sample of 100 accounts and finds that the average owed is $83.40 with a sample standard deviation of $23.65. If you wanted to test whether the average balance is different from $75 and decided to reject the null hypothesis, what conclusion could you draw?e)There is not evidence that the average balance is $75.f)There is not evidence that the average balance is not $75.g)There is evidence that the average balance is $75.h)There is evidence that the average balance is not $75.ANSWER:d十二、The marketing manager for an automobile manufacturer is interested in determining the proportion of new compact-car owners who would have purchased a passenger-side inflatable air bag if it had been available for an additional cost of $300. The manager believes from previous information that the proportion is 0.30. Suppose that a survey of 200 new compact-car owners is selected and 79 indicate that they would have purchased the inflatable air bags. If you were to conduct a test to determine whether there is evidence that the proportion is different from 0.30, which test would you use?i)Z-test of a population meanj)Z-test of a population proportionk)t-test of population meanl)t-test of a population proportionANSWER:b十三、A student claims that he can correctly identify whether a person is a business major or an agriculture major by the way the person dresses. Suppose in actuality that if someone is a business major, he can correctly identify that person as a business major 87% of the time. When a person is an agriculture major, the student will incorrectly identify that person as a business major 16% of the time. Presented with one person and asked to identify the major of this person (who is either a business or agriculture major), he considers this to be a hypothesis test with the null hypothesis being that the person is a business major and the alternative that the person is an agriculture major.2.Referring to Table 9-2, what would be a Type I error?a)Saying that the person is a business major when in fact the person is abusiness major.b)Saying that the person is a business major when in fact the person is anagriculture major.c)Saying that the person is an agriculture major when in fact the person is abusiness major.d)Saying that the person is an agriculture major when in fact the person is anagriculture major.ANSWER:c3.Referring to Table 9-2, what would be a Type II error?a)Saying that the person is a business major when in fact the person is abusiness major.b)Saying that the person is a business major when in fact the person is anagriculture major.c)Saying that the person is an agriculture major when in fact the person is abusiness major.d)Saying that the person is an agriculture major when in fact the person is anagriculture major.ANSWER:b4.Referring to Table 9-2, what is the “actual level of significance” of the test?a)0.13b)0.16c)0.84d)0.87ANSWER:a5.Referring to Table 9-2, what is the “actual confidence coefficient”?a)0.13b)0.16c)0.84d)0.87ANSWER:d6.Referring to Table 9-2, what is the value of ?a)0.13b)0.16c)0.84d)0.87ANSWER:a7.Referring to Table 9-2, what is the value of β?a)0.13b)0.16c)0.84d)0.87ANSWER:b十四、Are Japanese managers more motivated than American managers? A randomly selected group of each were administered the Sarnoff Survey of Attitudes Toward Life (SSATL), which measures motivation for upward mobility. The SSATL scores are summarized below.American JapaneseSample Size211100Mean SSATL Score65.7579.83Population Std. Dev.11.07 6.411.Referring to Table 10-1, judging from the way the data were collected, which testwould likely be most appropriate to employ?a)Paired t testb)Pooled-variance t test for the difference between two meansc)Independent samples Z test for the difference between two meansd)Related samples Z test for the mean differenceANSWER:c2.Referring to Table 10-1, give the null and alternative hypotheses to determine if theaverage SSATL score of Japanese managers differs from the average SSATL score of American managers.a)H0: μA–μJ≥0 ver sus H1: μA–μJ<0b)H0:μA–μJ≤0 ver sus H1: μA–μJ>0c)H0: μA–μJ=0 ver sus H1:μA–μJ≠0d)H0:X A–X J=0 versus H1:X A–X J≠0ANSWER: c3. Referring to Table 10-1, assuming the independent samples procedure was used,calculate the value of the test statistic.a) Z =65.75–79.839.82211+9.82100b) Z =65.75–79.8311.07211+6.41100c) Z =65.75–79.839.822211+9.822100d) Z =65.75–79.8311.072211+6.412100ANSWER:d4. Referring to Table 10-1, suppose that the test statistic is Z = 2.45. Find the p -value ifwe assume that the alternative hypothesis was a two-tailed test(0– :1≠J A H μμ).a) 0.0071 b) 0.0142 c) 0.4929 d)0.9858ANSWER: b十五、An airline wants to select a computer software package for its reservation system. Four software packages (1, 2, 3, and 4) are commercially available. The airline will choose the package that bumps as few passengers, on the average, as possible during a month. An experiment is set up in which each package is used to make reservations for 5 randomly selected weeks. (A total of 20 weeks was included in the experiment.) The number of passengers bumped each week is obtained, which gives rise to the following Excel output:ANOVASource of Variation SS df MS F P-value F crit Between Groups212.438.3049850.001474 3.238867 Within Groups136.48.525Total348.8????1.Referring to Table 10-15, the within groups degrees of freedom ise)3f)4g)16h)19ANSWER:c2.Referring to Table 10-15, the total degrees of freedom isi)3j)4k)16l)19ANSWER:d3.Referring to Table 10-15, the among-group (between-group) mean squares ism)8.525n)70.8o)212.4p)637.2ANSWER:b4.Referring to Table 10-15, at a significance level of 1%,q)there is insufficient evidence to conclude that the average numbers ofcustomers bumped by the 4 packages are not all the same.r)there is insufficient evidence to conclude that the average numbers ofcustomers bumped by the 4 packages are all the same.s)there is sufficient evidence to conclude that the average numbers ofcustomers bumped by the 4 packages are not all the same.t)there is sufficient evidence to conclude that the average numbers ofcustomers bumped by the 4 packages are all the same.ANSWER:c十六、A study published in the American Journal of Public Health was conducted to determine whether the use of seat belts in motor vehicles depends on ethnic status in San Diego County. A sample of 792 children treated for injuries sustained from motor vehicle accidents was obtained, and each child was classified according to (1) ethnic status (Hispanic or non-Hispanic) and (2) seat belt usage (worn or not worn) during the accident. The number of children in each category is given in the table below.1.Referring to Table 11-1, the calculated test statistic isa)-0.9991b)-0.1368c)48.1849d)72.8063ANSWER:c2.Referring to Table 11-1, at 5% level of significance, the critical value of the teststatistic isa) 3.8415b) 5.9914c)9.4877d)13.2767ANSWER:a3.Referring to Table 11-1, at 5% level of significance, there is sufficient evidence toconclude thata)use of seat belts in motor vehicles is related to ethnic status in San DiegoCounty.b)use of seat belts in motor vehicles depends on ethnic status in San DiegoCounty.c)use of seat belts in motor vehicles is associated with ethnic status in SanDiego County.d) All of the above.ANSWER: d十七、A large national bank charges local companies for using their services. A bank official reported the results of a regression analysis designed to predict the bank’s charges (Y ) -- measured in dollars per month -- for services rendered to local companies. One independent variable used to predict service charge to a company is the company’s sales revenue (X ) -- measured in millions of dollars. Data for 21 companies who use the bank’s services were used to fit the model:E (Y )=β0+β1XThe results of the simple linear regression are provided below.µ2,70020, 65, two-tailed value 0.034 (for testing )YX Y X S p β1=-+==1. Referring to Table 12-1, interpret the estimate of β0, the Y -intercept of the line. a) All companies will be charged at least $2,700 by the bank.b) There is no practical interpretation since a sales revenue of $0 is anonsensical value.c) About 95% of the observed service charges fall within $2,700 of the leastsquares line.d) For every $1 million increase in sales revenue, we expect a service charge todecrease $2,700.ANSWER: b2. Referring to Table 12-1, interpret the estimate of σ, the standard deviation of therandom error term (standard error of the estimate) in the model.a) About 95% of the observed service charges fall within $65 of the leastsquares line.b) About 95% of the observed service charges equal their correspondingpredicted values.c) About 95% of the observed service charges fall within $130 of the leastsquares line.d) For every $1 million increase in sales revenue, we expect a service charge toincrease $65.ANSWER: c3. Referring to Table 12-1, interpret the p -value for testing whether β1 exceeds 0.a) There is sufficient evidence (at the α = 0.05) to conclude that salesrevenue (X ) is a useful linear predictor of service charge (Y ).b)There is insufficient evidence (at the α= 0.10) to conclude that salesrevenue (X) is a useful linear predictor of service charge (Y).c)Sales revenue (X) is a poor predictor of service charge (Y).d)For every $1 million increase in sales revenue, we expect a service charge toincrease $0.034.ANSWER:a4.Referring to Table 12-1, a 95% confidence interval for β1is (15, 30). Interpret theinterval.a)We are 95% confident that the mean service charge will fall between $15and $30 per month.b)We are 95% confident that the sales revenue (X) will increase between $15and $30 million for every $1 increase in service charge (Y).c)We are 95% confident that average service charge (Y) will increase between$15 and $30 for every $1 million increase in sales revenue (X).d)At the α= 0.05 level, there is no evidence of a linear relationship betweenservice charge (Y) and sales revenue (X).ANSWER:c。

商务统计期末试题和答案A

一、单项选择题（共15题，每小题2 分，共30分）1．所有可能的实验结果的集合被称为（）A）概率 B）事件 C）实验 D）样本空间2．测度随机变量分布中心最常用的指标是( )A）算术平均数 B）中位数 C）众数 D）调和平均数3．变量X与Y的相关系数的符号取决于( )A）变量X的标准差 B）变最Y的标准差C）变量X和Y两标准差的乘积 D）变量X和Y的协方差4．有一个样本容量为10的样本，其均值为1300小时，方差为8175.56。

若按放回抽样计算，则样本均值的标准误是( )A）28.35小时 B）28.59小时 C）29.61小时 D）30.02小时5．如果原假设为H0：A≥B，备则假设为H1：A＜B，则进行假设检验时应采用( )A）右侧检验 B）左侧检验 C）双侧检验 D）上侧检验6．在方差分析中，各次试验观测应( )A）相互关联 B）互不相关 C）计量逐步精确 D）方法逐步改进7．若总体服从正态分布,那么样本量 ( ) , 样本均值的抽样分布服从正态分布.A）足够大时 B）足够小时 C）无论大与小 D）无法判断8. 中心极限定理表明，若容量为N 的样本来自非正态总体，则样本均值的抽样分布为( )A) 正态分布 B) 只有当N＜30时,为正态分布C) 只有当N≥30时,为正态分布 D) 非正态分布9. 以下是一个长途电话运营商对美国国内长途电话持续时间的报告。

持续时间(分钟) 相对频数0 小于 5 0.375 小于 10 0.2210小于 15 0.1515小于20 0.1020小于25 0.0725小于30 0.0730 或更多0.02参照上面的统计表，如果抽样样本为100个长途电话，那么持续时间少于5分钟或至少30分钟或更长时间的电话数是A) 35. B) 37. C) 39. D) 40.10．某共同基金的年回报率服从均值为14％，标准差为18％的正态分布，求明年该基金赔钱的概率是多少？A) 0.7823 B) 0.2177 C）0.1587 D）011. 卫生部门检查某潮湿的食品卫生，根据细菌污染情况由0-100评分（0表示无污染），现抽取36个样本单元进行检查，得样本的平均分值为10，标准差为3，则估计该超市的平均分值95%的置信区间近似为（）A) 7~13 B) 8~12 C）9~11 D）9.5~10.512. 假设检验中,H0:,μμ≥H1:,μμ<N为大样本,统计量Z=0xμσ-,0.05,α=拒绝域为：A) Z<-1.96 B) Z>1.96 C）Z>1.65 D）Z<-1.6513. 某大型企业要提出一项改革措施，为了估计该城市中赞成该项改革的人数的比例，要求边际误差不超过0.03，置信水平为95%，应抽取的样本量为（）A) 1065 B) 1066 C）1067 D）106814. 某汽车生产商想要了解广告费用 (X) 对销售量 (Y) 的影响，收集了过去12年的有关数据。

陈正伟-《商务统计》复习题集

商务统计复习题集－A一、单选题；1、在数据采集活动中，进行观测记录的基本单位与总体中的个体（）。

A、必须相同B、必须不同C、可以相同，也可以不同D、完全没有关系2、对于内部差异很大且有明显的不同类型界限或标志的总体，进行抽样调查应该采用的抽样方式是（）。

A、简单随机抽样B、系统抽样C、分层抽样D、整群抽样3、构成次数分布表的基本要素是（）。

A、各个个体的名称与指标数值B、各组变量值与次数C、各组变量值与其方差D、各组均值与方差4、如果观测变量的取值很多且数值成比例变化，则编制次数分布表时采用（）。

A、单值B、等距分组C、异距分组D、复合分组5、统计指标是用来测度统计活动研究对象某种特征数量的（）。

A、概念B、数值C、概念和数值D、数值尺度6、统计指标口径是指统计指标所包括的（）。

A、总体大小B、个体多少C、理论范围D、具体范围7、统计推断是一种（）。

A、演绎推理B、完全归纳推理C、不完全归纳推理D、非逻辑推理。

8、根据斯特吉斯公式，对于样本容量为1000的一个观测样本，采用等距分组，其组数应该为（）。

A、9组B、10组C、11组D、12组9、从0-1分布总体中进行不放回抽样，样本中具有1值的个体数服从（）。

A、两点分布B、二项分布C、超几何分布D、泊松分布10、对于由观测变量的各个分组和各组变量总值顺序排列的分组分布表，计算算术平均数需采用的计算公式为（）。

A、简单算术平均数B、加权算术平均数C、简单调和平均数D、加权调和平均数11、随机变量的观测值中出现次数最多的变量值是该变量的（）。

A、众数B、中位数C、极值D、均值12、两个观测值之间如果存在同方向的线性函数关系，则二者的相关关系为（）。

A、0B、1C、－1D、0.513、如果观测变量的算术平均数>中位数>众数，则该观测变量的次数分布是（）。

A、左偏分布B、右偏分布C、对称分布D、均匀分布14、对于同一数据，所计算出的平均差与标准差相比，通常有（）。

商务统计试题7参考答案及评分标准

《商务统计》试题7参考答案及评分标准一、判断题（每题1分，共10分）三、填空题（每题3四、简答题（每题5分，共15分）1.简述小概率事件原理及其在假设检验中的应用。

小概率事件指概率很小的事件（1分）。

小概率事件原理是指在一次实验中，发生概率很小的事件，可以认为是不可能事件（2分）。

在假设检验中，根据样本观测量计算检验统计量的值，如果在原假设正确的前提下，检验统计量的值的出现是小概率事件，则可以认为原假设错误（2分）。

2.列举描述一个变量的数值方法。

平均值、中位数、众数、极差、四分位距、方差、标准差（答对1个计1分）。

3.简述方差分析的基本原理。

方差分析是分析分类型自变量对数值型因变量影响的一种统计方法，可以检验多个总体均值是否相等（1分）。

方差分析通过分析数据的误差来检验自变量对因变量的影响效果是否显著（1分）。

具体地，它通过检验各总体均值是否相等来判断分类型自变量对数值型因变量是否具有显著影响。

如果总体均值相等，可以期望三个样本的均值会很接近。

因此，三个样本的均值的分散程度可以为原假设是否成立提供证据（3分）。

五、计算题（每题15分，共30分）1.（1）令μ1、μ2分别表示两家分行的经常性账户平均余额，则原假设为H0：μ1−μ2=0(2分)，备择假设为H a：μ1−μ2≠0（1分）。

（2）应该应用t统计量（1分）。

因为两家银行的账户余额都服从正态分布，两个总体的方差σ12与σ22未知。

在原假设成立的条件下，12√s1/n1+s2/n2t分布（2分）。

检验统计量t=12√s1/n1+s2/n2=√1502/28+1252/22=2.96（2分）。

（3）t分布自由度df=(s12n1+s22n2)21n1−1(s12n1)2+1n2−1(s22n2)2≈47，显著性水平是α=0.05，则拒绝域的临界值t0.025=2.01、−t0.025=−2.01 。

拒绝原假设的决策准则为：t≥2.01或者t≤−2.01时，拒绝原假设H0（2分）。

商务数据分析练习题库(附答案)

商务数据分析练习题库（附答案）一、单选题（共40题，每题1分，共40分）1、可以用于统计门前的客流量，作为顾客进入商店的比率，也是衡量卖场外部吸引力的重要依据是（）。

A、停留率B、上楼率C、进店率D、通过率正确答案：C2、（）有权在新股发行时优先购买股票以维持其份额。

A、普通股股东B、老板C、员工D、大股东正确答案：A3、简单地将数据对象集划分成不重叠的子集，使得每个数据对象恰在一个子集中，这种聚类类型称作A、非互斥聚类B、划分聚类C、层次聚类D、模糊聚类正确答案：B4、—般来说，商品的触摸率和成交数量成（）。

A、纵比B、反比C、横比D、正比正确答案：D5、以下说法错误的是（）。

A、流量地图帮助卖家看清流量从店铺出去后的去向B、流量地图帮助卖家看清入店后在店内的流转路径C、流量地图帮助卖家看清顾客真实的购物需求D、流量地图帮助卖家看清店铺的流量入店来源正确答案：C6、下列选项中，与公式“= AVERAGE(C1:C3)”表达式计算结果相同的是()。

A、=C1+C3B、=C1+C2+C3C、=(C1 +C3)/2D、=(C1+C2+C3)/3正确答案：D7、在Excel中，选定工作表中所有单元格的方法是（）。

A、单击工作表的一行B、使用快捷键Ctrl+AC、使用快捷键Shift+AD、单击工作表的一列正确答案：B8、产品数据分析在产品探索阶段通过数据分析指导（）。

A、决策产品的定位B、产品库存C、产品结构调整D、产品迭代正确答案：A9、AVERGE (number1,number2.....)函数表示（）。

A、求最大值B、求最小值C、求和D、求平均值正确答案：D10、下列不属于接触率指标的是（）A、触摸率B、上楼率C、使用率D、试穿率正确答案：B11、在Excel默认状态下，双击工作簿中任意一个工作表标签可以A、复制这个工作表B、重命名这个工作表的名称C、改变这个工作表的位置D、删除这个工作表正确答案：B12、对比分析法是描将两个或两个以上的数据进行比较，分析它们的差异，从而揭示这些数据所代表的事物的发展变化情况和。

商务统计复习题集

商务统计复习题集-A一、单选题；1、在数据采集活动中，进行观测记录的基本单位与总体中的个体（）。

A、简单随机抽样B、系统抽样C、分层抽样D、整群抽样3、构成次数分布表的基本要素是（）。

A、单值B、等距分组C、异距分组D、复合分组5、统计指标是用来测度统计活动研究对象某种特征数量的（）。

Word资料A、概念B、数值C、概念和数值D、数值尺度6、统计指标口径是指统计指标所包括的（）。

A、总体大小B、个体多少C、理论范围D、具体范围7、统计推断是一种（）。

A、演绎推理B、完全归纳推理C、不完全归纳推理D、非逻辑推理。

8、根据斯特吉斯公式，对于样本容量为1000的一个观测样本，采用等距分组，其组数应该为（）。

A、9 组B、10 组C、11 组D、12 组9、从0-1分布总体中进行不放回抽样，样本中具有1值的个体数服从（）。

A、简单算术平均数B、加权算术平均数C、简单调和平均数D、加权调和平均数11、随机变量的观测值中出现次数最多的变量值是该变量的（）。

A、众数B、中位数C、极值D、均值12、两个观测值之间如果存在同方向的线性函数关系，则二者的相关关系为（）。

A、0B、1C、—1D、0.5Word资料13、如果观测变量的算术平均数＞中位数＞众数，则该观测变量的次数分布是（）。

A、左偏分布B、右偏分布C、对称分布D、均匀分布14、对于同一数据，所计算出的平均差与标准差相比，通常有（）。

商务统计试题-精选版

《商务统计》试题选登一、单项选择题下列各题A）、B） C）、D）四个选项中，只有一个选项是正确的。

1．进行全国人口普查，普查总体中的个体是A）每个省的人口B）每个县的人口C）每个家庭的人口D）每个人2．根据人的性别特征将人口划分为男性和女性两类，所采用的测度计量尺度是A）名义尺度B）顺序尺度C）差距尺度D）比例尺度3．某市场调查公司为了对一家大型商场做顾客满意度调查，对不同性别和年龄的顾客按事先规定的人数随意进行了一些调查询问，这种调查属于A）任意调查B）立意调查C）配额抽样D）整群抽样4．利用拉丁方来安排试验观测，所需要考虑的因素只能为A）2个B）3个C）4个D）5个5.从0-1分布总体中进行不放回抽样，样本中具有1值的个体数服从A）两点分布B）二项分布C）超几何分布D）泊松分布6.测度随机变量分布中心最常用的指标是A）算术平均数B）中位数C）众数D）调和平均数7.变量x与y的相关系数的符号取决于A）变量x的标准差B）变最y的标准差C）变量x和y两标准差的乘积D）变量x和y的协方差8.有一个样本容量为10的样本，其均值为1300小时，方差为8175.56。

若按放回抽样计算，则样本均值的标准误是A）28.35 小时B）28.59 小时C）29.61 小时D）30.02 小时9.在关于总体参数的假设检验中，原假设必须是一个A）精确假设B）非精确假设C）复合假设D）备择假设10.如果原假设为H0：eze0,备则假设为乩.。

＜。

0,则进行假设检验时应采用A）侧检验B）左侧检验0双侧检验D）上侧检验11.在方差分析中，各次试验观测应A）相互关联B）互不相关C）计量逐步精确D）方法逐步改进12.相关关系是变量之间一种A）线性函数依存关系B）确定性的数量依存关系C）非线性函数依存关系D）非确定性的数量依存关系13.对于回归模型刀=九+8信+邛］=1,2,…，口），为了进行统计推断，通常假定'、u2、…、u n的数学期望J 。

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商务统计复习题集－A一、单选题；1、在数据采集活动中，进行观测记录的基本单位与总体中的个体（）。

A、简单随机抽样B、系统抽样C、分层抽样D、整群抽样3、构成次数分布表的基本要素是（）。

A、单值B、等距分组C、异距分组D、复合分组5、统计指标是用来测度统计活动研究对象某种特征数量的（）。

A、概念B、数值C、概念和数值D、数值尺度6、统计指标口径是指统计指标所包括的（）。

A、总体大小B、个体多少C、理论范围D、具体范围7、统计推断是一种（）。

A、演绎推理B、完全归纳推理C、不完全归纳推理D、非逻辑推理。

8、根据斯特吉斯公式，对于样本容量为1000的一个观测样本，采用等距分组，其组数应该为（）。

A、9组B、10组C、11组D、12组9、从0-1分布总体中进行不放回抽样，样本中具有1值的个体数服从（）。

A、简单算术平均数B、加权算术平均数C、简单调和平均数D、加权调和平均数11、随机变量的观测值中出现次数最多的变量值是该变量的（）。

A、众数B、中位数C、极值D、均值12、两个观测值之间如果存在同方向的线性函数关系，则二者的相关关系为（）。

A、0B、1C、－1D、0.513、如果观测变量的算术平均数>中位数>众数，则该观测变量的次数分布是（）。

A、左偏分布B、右偏分布C、对称分布D、均匀分布14、对于同一数据，所计算出的平均差与标准差相比，通常有（）。

A、平均差大于标准差B、平均差小于标准差C、平均差等于标准差D、二者关系不定15、变量x和y的相关系数的符号，取决于（）。

A、变量x的标准差B、变量y的标准差C、变量x和y两个标准差的乘积D、变量x和y的协方差16、要求估计量的数学期望等于被估计的总体参数，这一标准被称为（）。

A、一致性B、无偏性C、有效性D、充分性17、对于从所考察总体中随机抽取的一个大样本，其样本均值近似服从（）。

A、正态分布B、2χ分布C、t分布D、均匀分布18、抽样分布是指（）。

A、抽取样本的总体分布B、样本自身的分布C、样本统计量的分布D、抽样观测变量的分布19、已知θ是总体的未知参数，θ)是该总体参数的一个估计量，则该估计量是一个（）。

A、近似等于θ的量B、随机变量C、数学期望等于θ的统计量D、方差固定的统计量20、如果θ)是该参数θ的一致估计，则随着样本容量n的增大，有（）。

A、θ)的数值接近于总体参数θB、θ)的期望等于总体参数θC、θ)的方差接近于总体参数θD、θ)的方差接近于总体方差2σ21、在假设检验中，犯第一类错误的概率等于（）。

A、αB、βC、1－αD、1－β22、在给定的显著性水平之下，进行假设检验，确定拒绝域的依据是（）。

A、原假设为真的条件下检验统计量的概率分布B、备择假设为真的条件下检验统计量的概率分布C、观测变量的总体概率分布D、观测变量的样本分布23、在假设检验在，如果原假设为真，则检验统计量的值落入拒绝域是一个（）。

A、必然事件B、不可能事件C、小概率事件D、大概率事件24、在单因子方差分析中，如果各个因子水平效应相同的原假设为真，则组间平方和SSA（）。

A、等于0B、等于总平方和C、完全由观测的随机误差引起D、完全由各因子水平的差异引起25、在方差分析中，所考察的影响观测变量的各个因子都必须（）。

A 、属性化B 、数量化C 、同质化D 、差异化26、在建立y 对x 的回归方程时，通常假定（）。

A 、y 和x 都是随机变量B 、y 是随机变量，x 是确定性变量C 、y 是确定性变量，x 是随机变量D 、y 和x 都是确定性变量27、使用最小二乘法估计得出的样本回归直线x y 10ββ)))+=必然通过点（）。

A 、（0，0）B 、（x ，0）C 、（0、y ）D 、（x ，y ）28、居民家庭人均消费支出的差异随着家庭人均收入的提高而增加，这种现象称为（）。

A 、直线趋势B 、曲线趋势C 、异方差D 、异常数据29、如果y 和x 的样本相关系数为0.81，则y 对x 的线性回归模型的判定系数为（）。

A 、0.19B 、0.81C 、0.6561D 、0.930、累计采样所得到的时间序列是（）。

A 、时点序列B 、时期序列C 、特征序列D 、平稳序列31、已知一个时间序列的最初水平和最末水平，要计算各期的平均增长速度，则应采用的计算方法为（）。

A 、算术平均法B 、几何平均法C 、代数平均法D 、调和平均法32、如果时间序列的环比增长量大致相等，则应采用的趋势模型为（）。

A、直线趋势模型B、指数曲线趋势模型C、二次曲线趋势模型D、修正指数曲线趋势模型33、拟合指数曲线趋势方程所依据的时间数列的特点是（）。

A、定基发展速度大致相等B、环比发展速度大致相等C、逐期增长量大致相等D、二级增长量大致相等34、非概率型决策是一种（）。

A、确定性决策B、非确定性决策C、等可能性决策D、非计算性决策35、期望损益准则特别适用于（）。

A、重复性决策B、一次性决策C、确定性决策D、非概率型决策36、在概率型决策分析中，按照风险最小准则进行决策，所选出的行动方案（）。

A、期望损失最小B、最大损失最小C、最大收益最大D、最小损失最小37、劳动生产率指数是一个（）。

A、物量类指数B、物价类指数C、价值类指数D、总量类指数38、编制平均指数所用权数通常均采用（）。

A、产量B、价格C、产值D、综合指数变形权数39、在拉氏物价指数中，同度量因素是（）。

A、基期价格B、现期价格C、基期销售量D、现期销售量40、总指数与相应的各个个体指数之间的关系为（）。

A、总指数大于所有的个体指数B、总指数小于所有的个体指数C、总指数介于个体指数的最大值与最小值之间D、上述三种情况都可能发生41、现期与基期相比，某地粮食总产量增长了10％，粮食播种面积增长了5％，则粮食平均亩产增长了（）。

A、2％B、0.5％C、5％D、4.8％42、评价指标经过规格化变换后，其（）。

A、取值都在0与1之间B、均值为0C、均值为1D、标准差为143、经济业绩指数的分母为（）。

A、实际经济增长率B、通货膨胀率C、失业率D、痛苦指数二、多选题；1、简单随机样本的抽样方式有（）。

A、抽签法B、摇奖法C、配对法D、配额法E、随机数表法2、对观测取得的数据进行分类时，必须遵循的分类原则有（）。

A、同质性B、互斥性C、完备性D、分散性E、整齐性3、构成统计表的必不可少的要素有（）。

A、总标题B、横行标题C、纵栏标题D、数据资料E、表末附注4、企业的产品销售收入是一个（）。

A、存量指标B、流量指标C、水平指标D、实物指标E、价值指标5、对于一个给定的总体，可以看着变量的指标有（）。

A、总体指标B、个体指标C、样本指标D、子总体指标E、类指标6、统计推断的结论可能存在（）。

A、推断误差B、不确定性C、逻辑错误D、不可行性E、外延错误7、可以用来表示组距分组次数的次数分布图有（）。

A、柱状图B、直方图C、折线图D、散点图E、立方图8、随机变量的概率分布模型的表示方式有（）。

A、概率分布表B、概率分布图C、概率分布函数式D、回归函数式E、方差分析表9、对于两点分布总体，如果具有“是”值的个体数的比例为p、具有“非”值的个体的比例为q，则有（）。

A、数学期望为pB、数学期望为qC、方差为p＋qD、方差为pqE、方差为p/q10、对于标准正态分布，有（）。

A、数学期望为0B、标准差为1C、方差为1D、偏度系数为0E、峰度系数为311、如果观测变量的分布左偏。

则有（）。

A、均值大于中位数B、均值小于众数C、中位数小于众数D、均值等于众数E、均值小于中位数12、根据观测变量的次数分布表计算加权算术平均数，可以使用的权数有（）。

A、各组的变量值B、各组的次数C、各组的组中值D、各组的频率E、各组的密度13、在抽样估计中，判断估计量优劣的标准有（）。

A、一致性B、无偏性C、有效性D、充分性E、稳健性14、对于某个样本估计量来说，影响其标准误的因素主要有（）。

A、总体中各个个体之间的差异程度B、样本容量的大小C、总体中个体数的多少D、样本的抽取方式E 、抽样调查中登记误差的大小15、在假设检验中，对于给定的显著性水平，如果要计算发生第二类错误的概率，则必须有（）。

A 、原假设是精确假设B 、备择假设是精确假设C 、原假设是非精确假设D 、备择假设是非精确假设E 、样本给定16、进行假设检验时，如果要增加检验的功效，则可以采用的方式有（）。

A 、加大显著性水平B 、减小显著性水平C 、加大样本容量D 、减小样本容量E 、使用精确分布17、在方差分析的数据结构模型中，需假设随机误差ε（）。

A 、数学期望为0B 、相互独立C 、方差为常数D 、方差随因子水平的增减而增减E 、服从正态分布18、在两因子方差分析中，如果要分解出两因子交互作用对观测变量的影响，则对两因子的每对水平组合可以只观测（）。

A 、1次B 、2次C 、3次D 、4次E 、5次19、根据线性回归分析的基本假定，因变量的观测值必须（）。

A 、数学期望为0B 、具有相同的方差C 、服从正态分布D 、不同次观测相互独立E 、与自变量的取值相互独立20、在y 对x 是线性回归模型μββ++=x y 10)))中，随机误差u 产生的原因有（）。

A 、各种细小的偶然因素B 、对y 的观测误差C 、对x 的观测误差D 、x 的高次项对y 的影响E 、模型参数估计的错误21、线性回归模型的判定系数2R 可表示为（）。

A 、SSTSSR R =2 B 、SST SSE R =2 C 、SST SSR R -=12 D 、SST SSE R -=12 E 、SSE SSR SSR R +-=12 22、可用来反映产业成长过程的S 形生长曲线模型有（）。

A 、指数曲线趋势模型B 、修正指数曲线趋势模型C 、逻辑曲线趋势模型D 、龚配茨曲线趋势模型E 、双指数曲线趋势模型23、在商务和经济统计分析中，计算平均发展速度的方法通常有（）。

A 、环比法B 、定基法C 、方程法D 、算术平均法E 、几何平均法24、进行统计决策的基本要素有（）。

A 、客观环境的可能状态集B 、决策者的可行行动集C 、决策行动的收益函数D 、决策树E 、决策者25、概率型决策的准则有（）。

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