SPSS第二次作业

1、精选优质文档-倾情为你奉上1.SPSS规定：当样本含量时，结果以Shapiro-Wilk为准。当样本含量时，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。Case Processing Summary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Mean161

2、7.85883.530295% Confidence Interval for MeanLower Bound1434.010Upper Bound1801.7075% Trimmed Mean1597.287Median1499.450Variance83727.544Std. Deviation289.3571Minimum1369.1Maximum2236.9Range867.8Interquartile Range449.7Skewness1.348.637Kurtosis.4871.232粤西Mean1851.433136.919195% Confidence Interval fo

3、r MeanLower Bound1550.076Upper Bound2152.7905% Trimmed Mean1855.265Median1922.800Variance.059Std. Deviation474.3017Minimum1222.6Maximum2411.3Range1188.7Interquartile Range926.9Skewness-.147.637Kurtosis-2.0071.232M-Estimators地区Huber's M-EstimatoraTukey's BiweightbHampel's M-EstimatorcAndr

4、ews' Waved降雨量粤东1506.2671464.4891485.2661464.489粤西1862.4581860.4691851.4331860.534a. The weighting constant is 1.339.b. The weighting constant is 4.685.c. The weighting constants are 1.700, 3.400, and 8.500d. The weighting constant is 1.340*pi.Extreme Values地区Case NumberValue降雨量粤东Highest132236.92

5、62040.93101947.9471593.6581517.4Lowest111369.1251409.03121409.64111409.7521481.3粤西Highest1142411.32182344.33222314.54132274.05232263.3Lowest1171222.62191266.43241372.44201392.65151510.2Tests of Normality地区Kolmogorov-SmirnovaShapiro-WilkStatisticdfSig.StatisticdfSig.降雨量粤东.30212.003.77512.005粤西.22412.

6、098.84912.036a. Lilliefors Significance Correction2.个案处理结果Case Processing SummaryCasesValidMissingTotalNPercentNPercentNPercent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%TotalCount111

7、14% 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。Group Statistics性别NMeanStd. DeviationStd. Error Mean高考数学成绩男16126.8811.4542.863女16119.889.0182.254Independent Samples TestLevene's Test for Equality of V

8、ariancest-test for Equality of MeansFSig.tdfSig. (2-tailed)Mean DifferenceStd. Error Difference95% Confidence Interval of the DifferenceLower高考数学成绩Equal variances assumed.407.5291.92130.0647.0003.644-.443Equal variances not assumed1.92128.434.0657.0003.644-.4605.描述性统计量Descriptive StatisticsNPercenti

9、les25th50th (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.Test Statisticsb成绩N28Median62.5000Chi-Square28.000adf3Asymp. Sig.000a. 8 cells (100.0%) have expected frequencie

10、s less than 5. The minimum expected cell frequency is 3.5.b. Grouping Variable: 国家6描述性的统计量Descriptive StatisticsNPercentiles25th50th (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

11、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.Test Statisticsb喜爱程度N80Median7.0000Chi-Square43.275adf7Asymp. Sig.000a. 8 cells (50.0%) have expected frequencies less than 5. The minimum expected cell frequency is 4.1.b. Grouping Variable: 饮料种类7.描述性的统计量Descriptive StatisticsNMeanStd. DeviationMin

12、imumMaximum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, 即认为这5种的差异不明显。Runs Test每加仑汽油行驶英里数Test Valuea20.147Cases < Test Value7Cases >= Test Value8Total Cases15Number of Runs5Z-1.597Asymp. Sig. (2-tailed).110a. Mean8. K-S检验结果的KOS统计量为1.200，

13、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。Descriptive StatisticsNMeanStd. DeviationMinimumMaximum身高50169.726.993154181One-Sample Kolmogorov-Smirnov Test身高N50Normal Parametersa,bMean169.72Std. Deviation6.993Most Extreme DifferencesAbsolute.170Positive.078Negative-.170Kolmogorov-Smirnov Z1.200Asymp

14、. Sig. (2-tailed).112a. Test distribution is Normal.b. Calculated from data.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% Confidence Interval for MeanMinimumMaximumLower BoundUpper Bo

15、und包装a11034.000021.187006.6999218.843749.156310.0070.00包装a21040.000018.856185.9628526.511153.488910.0070.00Total2037.000019.761744.4188627.751246.248810.0070.00Test of Homogeneity of VariancesvolumeLevene Statisticdf1df2Sig.031118.862ANOVAvolumeSum of SquaresdfMean SquareFSig.Between Groups180.00011

16、80.000.448.512Within Groups7240.00018402.222Total7420.00019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% Confidence Interval for MeanMinimumMaximumLower BoundUpper Bound口味b11026.000016.465455.2068314.221337.778710.0050.00口味b21048.000016.865485.3333335.935260.064830.0070.00Total20