统计软件SPSS第六章报告.docx

统计分析软件实验报告姓 名： 学 号： 专 业： 统计学 院 系： 统计学院 指导教师: 完成 日期： chapter 6 Chapter 6 Descriptive statisticsAdditional exercisesBusinessData file: staffsurvey.sav. See Appendix for details of the data file.1.Follow the procedures covered in this chapter to generate appropriate descriptive statisticsto answer the following questions:(a)What percentage of the staff in this organisation are permanent employees? (Usethe variable employstatus.)操作步骤：Analyze-Descriptive Statistics-Frequenciesemployment statusFrequencyPercentValid PercentCumulative PercentValidpermanent32861.262.862.819436.237.2100.0Total52297.4100.0MissingSystem142.6Total536100.0Table6-1在table6-1中可以看到在536名被调查者中，其中有14个人没有回答这个问题，有328名长期工，占样本总体的62.8%，有194名临时工，占样本总体的37.2%。(b)What is the average length of service for staff in the organisation? (Use the variable操作步骤：Analyze-Descriptive Statistics-Frequencies-MeanStatisticslength of serviceNValid471Missing65Mean5.03Table6-2在输出表6-2中可以看到剔除掉65个缺失值后，在471个有效个案中，员工的平均工作年限是5.03年。(c)What percentage of respondents would recommend the organisation to others as a good place to work (Use the variable recommend.)操作步骤：Analyze-Descriptive Statistics-FrequenciesrecommendFrequencyPercentValid PercentCumulative PercentValidno5810.810.810.8yes47789.089.2100.0Total53599.8100.0MissingSystem1.2Total536100.0Table6-3从输出表中我们可以看到在536个抽样总体中，剔除掉1个缺失值，在535个有效个案中，有477个员工的答案是yes，意思是有477个员工会给其他人推荐这个地方工作，占有效样本总体的89.2%，有58个员工的答案是no ,就是说有58个员工不会给其他人推荐这个工作，占有效样本总体的10.8。2.Assess the distribution of scores on the Total Staff Satisfaction scale (totsatis) foremployees who are permanent versus casual (employstatus).(a)Are there any outliers on this scale that you would be concerned about?Descriptivesemployment statusStatisticStd. ErrorrecommendpermanentMean.90.01795% Confidence Interval for MeanLower Bound.86Upper Bound.935% Trimmed Mean.94Median1.00Variance.093Std. Deviation.305Minimum0Maximum1Range1Interquartile Range0Skewness-2.612.135Kurtosis4.855.268casualMean.89.02395% Confidence Interval for MeanLower Bound.84Upper Bound.935% Trimmed Mean.93Median1.00Variance.102Std. Deviation.319Minimum0Maximum1Range1Interquartile Range0Skewness-2.448.175Kurtosis4.036.348Table6-4在这个描述统计表中可以看到在修正数据之前长期工的均值是90，而在剔除掉5%的极端值之后，均值变成93，所以说在长期工中有离群值得存在；在修正数据之前临时工的均值是89，在剔除掉5%的极端值之后，均值变成93，所以在临时工中也存在离群值。Extreme Valuesemployment statusCase NumberidValuepermanentHighest124311264351310445141244715144501aLowest1523145025041990348918304487181054861790bcasualHighest134321244331354341484371594421aLowest1514210025102060350820304482167054601570bTable6-5在极端数据表中，我们可以看到在长期工中和临时工种都有极端值的存在，有过高或过低的数据，以id作为label case by 即可以清楚的看到极端值的id和数据。Chart6-1在箱图中我们可以很明显的看到长期工中和临时工中都有离群值得存在，长期工中离群值数据的id是183,181,和199，临时工中离群值数据的id是167,203,206.。(b)Are scores normally distributed for each group?操作步骤：Analyze-Descriptive Statistics-Explore-Normality plots with tests, Histogram, descriptiveTests of Normalityemployment statusKolmogorov-SmirnovaStatisticdfrecommendpermanent.529328casual.526193Tests of Normalityemployment statusKolmogorov-SmirnovaShapiro-WilkSig.StatisticdfSig.recommendpermanent.000.349328.000casual.000.368193.000a. Lilliefors Significance CorrectionTable6-6在这个正态评估表中我们可以看到在Kolmogorov-Smirnov和Shapiro-Wilk的检验下，sig都小于0.05,是显著性检验，则拒绝原假设，即不服从正态分布。chart6-2 Chart6-3在分布直方图中我们可以看到不管是长期工还是临时工，图形都不是正态分布图，所以不服从正态分布。Chart6-4 Chart6-5在Q-Q图中，不管是长期工还是临时工，我们都可以看到在正态拟合线外存在数值，所以不服从正态分布。HealthData file: sleep.sav. See Appendix for details of the data file.1.Follow the procedures covered in this chapter to generate appropriate descriptive statisticsto answer the following questions:(a)What percentage of respondents are female (gender )?操作步骤：Analyze-Descriptive Statistics-FrequenciessexFrequencyPercentValid PercentCumulative PercentValidfemale15055.455.455.4male12144.644.6100.0Total271100.0100.0Table6-7在分析表中可以看到在271名被调查者中，有150名女性，占样本总体的55.4%，有121名男性，占样本总体的44.6%。(b)What is the average age of the sample?操作步骤:Analyze-Descriptive Statistics-Frequencies-mean Descriptive StatisticsNMinimumMaximumMeanStd. Deviationage248188443.8712.684Valid N (listwise)248Table6-8在分析表中我们可以看到在248个样本总体中，被调查者的平均年龄是43.87岁。(c)What percentage of the sample indicated that they had a problem with their sleep(problem)?操作步骤：Analyze-Descriptive Statistics-Frequenciesprob sleep recode 01FrequencyPercentValid PercentCumulative PercentValidno15256.156.556.5yes11743.243.5100.0Total26999.3100.0MissingSystem2.7Total271100.0Table6-9从分析表中可以看到在271名被调查者中剔除掉2个缺失值，有117名被调查者有睡眠问题，占样本总体的43.5%，有152名被调查者失眠良好，占样本总体的56.5%。(d)What is the median number of hours sleep per weeknight (hourwnit )?操作步骤：Analyze-Descriptive Statistics-Frequencies-MedianStatisticshours sleep/ week nightsNValid270Missing1Median7.000Table6-10从分析表中可以看到在270个有效个案中，睡眠有问题的被调查者的中位数是7个小时。2.Assess the distribution of scores on the Sleepiness and Associated Sensations Scale(totSAS) for people who feel that they do/dont have a sleep problem (problem).(a)Are there any outliers on this scale that you would be concerned about?操作步骤：Analyze-Descriptive Statistics-Explore-Outlier, Histogram，descriptiveDescriptivesproblem with sleep?Statisticsleepy & assoc sensations scaleyesMean32.2195% Confidence Interval for MeanLower Bound30.66Upper Bound33.755% Trimmed Mean32.54Median34.00Variance67.638Std. Deviation8.224Minimum10Maximum50Range40Interquartile Range10Skewness-.643Kurtosis.149noMean21.2295% Confidence Interval for MeanLower Bound19.60Upper Bound22.835% Trimmed Mean20.89Median18.50Variance92.069Std. Deviation9.595Minimum5Maximum44Range39Interquartile Range16Skewness.493Kurtosis-.791Table6-11Descriptivesproblem with sleep?Std. Errorsleepy & assoc sensations scaleyesMean.781Skewness.229Kurtosis.455noMean.817Skewness.206Kurtosis.410Table6-12在这个描述统计表中可以看到在修正数据之前睡眠有问题的人的均值是32.21，而在剔除掉5%的极端值之后，均值变成34，所以说在睡眠有问题的人中有离群值得存在；在修正数据之前睡眠没有问题的人的均值是21.22，在剔除掉5%的极端值之后，均值变成18.50，所以在睡眠没有问题的人中也存在离群值。Extreme Valuesproblem with sleep?Case NumberIdentification NumberValuesleepy & assoc sensations scaleyesHighest11712405021702344731868945421242455302644aLowest12245371022332061232044512427042313525628913noHighest1126509442555543363247424975240512124140bLowest115221152164200631565467414542085132598ca. Only a partial list of cases with the value 44 are shown in the table of upper extremes.b. Only a partial list of cases with the value 40 are shown in the table of upper extremes.c. Only a partial list of cases with the value 8 are shown in the table of lower extremes.Table6-13在极端数据表中，我们可以看到在睡眠有问题的人中和睡眠没有问题的人种都有极端值的存在，有过高或过低的数据，以id作为label case by 即可以清楚的看到极端值的id和数据。chart6-6Chart6-7在频率分布直方图中可以看到睡眠有问题的人的频数范围是0-20，有突出点的存在，但在睡眠没有问题的人的频数范围是0-15，几乎没有突出点的存在，所以在睡眠有问题的人中有离群值得存在。Chart6-8在箱图中