SPSS第二次作业

1.SPSS规定：当样本含量50003n时，结果以Shapiro-Wilk为准。当样本含量5000n时，结果以K-S为准。正态性检验结果显示,其中粤东对应的Shapiro-Wilk检验P值为0.005，所以，粤东的数据分布不服从正态的。同理，粤西的数据也不服从正态分布。CaseProcessingSummary地区CasesValidMissingTotalNPercentNPercentNPercent降雨量粤东12100.0%0.0%12100.0%粤西12100.0%0.0%12100.0%Descriptives地区StatisticStd.Error降雨量粤东Mean1617.85883.530295%ConfidenceIntervalforMeanLowerBound1434.010UpperBound1801.7075%TrimmedMean1597.287Median1499.450Variance83727.544Std.Deviation289.3571Minimum1369.1Maximum2236.9Range867.8InterquartileRange449.7Skewness1.348.637Kurtosis.4871.232粤西Mean1851.433136.919195%ConfidenceIntervalforMeanLowerBound1550.076UpperBound2152.7905%TrimmedMean1855.265Median1922.800Variance224962.059Std.Deviation474.3017Minimum1222.6Maximum2411.3Range1188.7InterquartileRange926.9Skewness-.147.637Kurtosis-2.0071.232M-Estimators地区Huber'sM-EstimatoraTukey'sBiweightbHampel'sM-EstimatorcAndrews'Waved降雨量粤东1506.2671464.4891485.2661464.489粤西1862.4581860.4691851.4331860.534M-Estimators地区Huber'sM-EstimatoraTukey'sBiweightbHampel'sM-EstimatorcAndrews'Waved降雨量粤东1506.2671464.4891485.2661464.489粤西1862.4581860.4691851.4331860.534a.Theweightingconstantis1.339.b.Theweightingconstantis4.685.c.Theweightingconstantsare1.700,3.400,and8.500d.Theweightingconstantis1.340*pi.ExtremeValues地区CaseNumberValue降雨量粤东Highest132236.9262040.93101947.9471593.6581517.4Lowest111369.1251409.03121409.64111409.7521481.3粤西Highest1142411.32182344.33222314.54132274.05232263.3Lowest1171222.62191266.43241372.44201392.65151510.2TestsofNormality地区Kolmogorov-SmirnovaShapiro-WilkStatisticdfSig.StatisticdfSig.降雨量粤东.30212.003.77512.005粤西.22412.098.84912.036a.LillieforsSignificanceCorrection2.个案处理结果CaseProcessingSummaryCasesValidMissingTotalNPercentNPercentNPercent升学*计数4100.0%0.0%4100.0%交叉表升学*计数Crosstabulation计数Total16276131143升学0Count11002%within升学50.0%50.0%.0%.0%100.0%升学Count00112%within升学.0%.0%50.0%50.0%100.0%TotalCount11114%within升学25.0%25.0%25.0%25.0%100.0%3．不同性别学生之间成绩分析，F统计量的Sig值为0.529大于0.10，所以不可否认方差相等的假设，第一行t检验的值为0.064小于0.10，所以在显著性水平0.10下，认为该班高考不同性别学生成绩无明显差异。GroupStatistics性别NMeanStd.DeviationStd.ErrorMean高考数学成绩男16126.8811.4542.863女16119.889.0182.254IndependentSamplesTestLevene'sTestforEqualityofVariancest-testforEqualityofMeansFSig.tdfSig.(2-tailed)MeanDifferenceStd.ErrorDifference95%ConfidenceIntervaloftheDifferenceLower高考数学成绩Equalvariancesassumed.407.5291.92130.0647.0003.644-.443Equalvariancesnotassumed1.92128.434.0657.0003.644-.4605.描述性统计量DescriptiveStatisticsNPercentiles25th50th(Median)75th成绩2838.250062.500078.5000国家281.252.503.75频数表Frequencies国家A国B国C国D国成绩Median7700=Median0077最后是检验统计量,可以得到卡方统计量为28.000,其对应的P值小于0.05,所以拒绝原假设,认为这四个国家的成绩具有显著的差异性.TestStatisticsb成绩N28Median62.5000Chi-Square28.000adf3Asymp.Sig..000a.8cells(100.0%)haveexpectedfrequencieslessthan5.Theminimumexpectedcellfrequencyis3.5.b.GroupingVariable:国家6描述性的统计量DescriptiveStatisticsNPercentiles25th50th(Median)75th喜爱程度804.25007.00008.7500饮料种类802.25004.50006.7500频数表Frequencies饮料种类饮料1饮料2饮料3饮料4饮料5饮料6饮料7饮料8喜爱程度Median105093105=Median0510179105最后是检验统计量,可以得到卡方统计量为43.275,其对应的P值小于0.05所以拒绝原假设,即认为这八种饮料的顾客喜爱程度具有显著的差异.TestStatisticsb喜爱程度N80Median7.0000Chi-Square43.275adf7Asymp.Sig..000a.8cells(50.0%)haveexpectedfrequencieslessthan5.Theminimumexpectedcellfrequencyis4.1.b.GroupingVariable:饮料种类7.描述性的统计量DescriptiveStatisticsNMeanStd.DeviationMinimumMaximum每加仑汽油行驶英里数1520.1472.227416.023.1游程检验结果显示,每加仑汽油行驶英里数标志值的游程为5,由样本计算的检验统计量Z为-1.597,P值为0.110,大于0.05,接受原假设0H,即认为这5种的差异不明显。RunsTest每加仑汽油行驶英里数TestValuea20.147CasesTestValue7Cases=TestValue8TotalCases15NumberofRuns5Z-1.597Asymp.Sig.(2-tailed).110a.Mean8.K-S检验结果的KOS统计量为1.200，对应的P值为0.112大于0.05，所以接受原假设，认为这50名高二学生身高服从正态分布。DescriptiveStatisticsNMeanStd.DeviationMinimumMaximum身高50169.726.993154181One-SampleKolmogorov-SmirnovTest身高N50NormalParametersa,bMean169.72Std.Deviation6.993MostExtremeDifferencesAbsolute.170Positive.078Negative-.170Kolmogorov-SmirnovZ1.200Asymp.Sig.(2-tailed).112One-SampleKolmogorov-SmirnovTest身高N50NormalParametersa,bMean169.72Std.Deviation6.993MostExtremeDifferencesAbsolute.170Positive.078Negative-.170Kolmogorov-SmirnovZ1.200Asymp.Sig.(2-tailed).112a.TestdistributionisNormal.b.Calculatedfromdata.9.有单因素方差分析检验不同包装对饮料销售水平的影响。Levene统计量取值为0.031，Sig取值为0.862，大于0.05，所以认为各组的方差相等。方差分析表显示Sig取值为0.512，即假设成立，认为各组均值没有差异。DescriptivesvolumeNMeanStd.DeviationStd.Error95%ConfidenceIntervalforMeanMinimumMaximumLowerBoundUpperBound包装a11034.000021.187006.6999218.843749.156310.0070.00包装a21040.000018.856185.9628526.511153.488910.0070.00Total2037.000019.761744.4188627.751246.248810.0070.00TestofHomogeneityofVariancesvolumeLeveneStatisticdf1df2Sig..031118.862ANOVAvolumeSumofSquaresdfMeanSquareFSig.BetweenGroups180.0001180.000.448.512WithinGroups7240.00018402.222Total7420.00019由单因素方差分析检验不同口味对饮料销售水平的影响。Levene统计量取值为0.015，Sig取值为0.904，大于0.05，所以认为各组的方差相等。方差分析表显示Sig取值为0.009，即假设不成立，认为各组均值有差异。所以认为饮料口味对销售水平影响更大。DescriptivesvolumeNMeanStd.DeviationStd.Error95%ConfidenceIntervalforMeanMinimumMaximumLowerBoundUpperBound口味b11026.000016.465455.2068314.221337.778710.0050.00口味b21048.000016.865485.3333335.935260.0