華理多元統(tǒng)計實驗3

1、華東理工大學20132014學年第一學期應用統(tǒng)計學實驗報告2班級學號姓名開課學院任課教師任飛 成績實驗內容：實驗2.1熟悉One-Sample T Test功能實驗 2.2熟悉 Independent-Samples T Test 功能實驗 2.3熟悉 Paired-Samples T Test 功能實驗2.4熟悉OneWay ANOVA功能運用實驗 2.5熟悉 General Factorial 功能實驗要求：寫出實驗步驟根據(jù)實驗內容撰寫分析報告教師評語：教師簽名：年月日實驗報告：實驗2.1(1)選用Employee datasav文件中的變量，將salary作為Test因變量,test值分

2、別取34000、 35000、34419、24000,作均值檢驗。實驗結果如下圖所示：One-Sample TestTest Value = 34000tdfSig. (2-tailed)Mean Difference95% Confidence Interval of the DifferenceLowerUpperCurrent Salary.535473.593$419.563-$1,121.6051,960.73P=0.593005，故接受原假設，說明樣本salary均值與假設無顯著性差異。One-Sample TestTestValu e = 35DQQtdfSig. (2-tail

3、ed)Mean Differe ncm95% Confidence Interval of the DifferenceLowerUpperCurrent Salary-740473.460-J580.432-J2.121.60J960.73P=O450 O05,故接受原假設，說明樣本salary均值與假設無顯著性差異。One-Sample TestTestValue = 3441 9tdfSig. (2-tailed)Mean Differe ncm95% Confidence Interval of the DifferenceLowerUpperCurrent Salary.001473

4、.999JO.560,540.6051,541.73P=0999005,故接受原假設，說明樣本salary均值與假設的34419無顯著性差異。One-Sample TestTest Value = 24000tdfSig. (2-tailed)Mean Difference95% Confidence Interval of the DifferenceLowerUpperCurrent Salary13.235473.000$10,419.56353,070.40$11,960.73p=O.000 O05,故接受原假設，說明隨機抽樣的樣本均值salary與假設沒有顯著性差異。實驗 2.2 熟

5、悉 Independent-Samples T Test 功能選用 Employee data.sav 文件中的變量，將 Current Salary 作為 Test Variables, gender 作 Grouping Variable，作兩樣本比較T檢驗。選擇define groups,兩個group分別定義為0、1實驗結果如下:GenderNfvleanStd. DeviationStd. ErrorMeanCurrent Salary 0258$41,441.78$19,499.214$1,213.9681216$26,031.92$7,558.021$514.258Indepen

6、dent Samples TestLevenes Testfor Equality of Variancest-test for Equality of MeansFSig.tdfSig. (2-tailed)Mean DifferenceStd. Error Difference95% Confidence Interval of the DifferenceLowerUpperCurrent Salary Equal variancesassumed119.669.00010.945472.000$15,409.862$1,407.906$12,643.322$18,176.401Equa

7、l variances not assumed11.688344.262.000$15,409.862$1,318.400$12,816.728$18,002.996從中可以看出，男女目前平均工資為41441.78, 26031.92，存在一定差距；獨立樣本均值檢 驗中雙尾概率P均為0,小于顯著性水平0.05，故拒絕原假設，說明男女的目前平均工資有 顯著性差異。實驗 2.3 熟悉 Paired-Samples T Test 功能選用 Trends chapter 12. sav 文件中的變量，將 connect, dsconect 作為 paired variables 作配 對樣本統(tǒng)計分析。

8、Paired-Samples T TestPaired Variables:矽 connect 茨 dsconectOptions.Paired Variables:矽 connect 茨 dsconectOptions.Bootstrap.OK Paste : Reset Cancel HelpPaired Samples StatisticsMeanNStd. DeviationStd. ErrorMeanPair 1 connect19385.682185976.028404.748dsconect15358.652185008.268339.203Paired Samples Corr

9、elationsNCorrelationSig.Pair 1 connect & dsconect218.942.000Paired Samples TestPaired DifferencestdfSig. (2-tailed)MeanStd. DeviationStd. Error95% Confidence Interval of the DifferenceLowerUpperPair 1 connect dsconEct4027.0322100.497142.2643746.6374307.42728.307217.000從圖中可以看出，相關系數(shù)為0.942，說明彼此間高度相關，且皆

10、達到了顯著性水平；雙尾 檢驗P=0小于0.05，故拒絕原假設，說明彼此間有顯著性差異。實驗2.4 熟悉OneWay ANOVA功能運用選用Tomato.sav文件中的變量，將height作為dependent variable, fert作為factor,作單因素 方差分析ANOVAFinal HeightSum of SquaresdfMean SquareFSig.Between Groups310.0002155.00010.690.025Within Groups53.000414.500Total360.0006由實驗結果可知，F(xiàn)值為10.69，査表可知，F(xiàn)0.025=1065,FO

11、01=18,F0025vFvF001j且P=O025vO05,貝9知肥料的不同造成的最終高度之間有顯著性差異。實驗25 熟悉Univariate功能選用 Plastic.sav 文件中的變量，將 tear_res 作為 dependent variable, extrusn, additive作為factor,作雙因素方差分析Between-Subjects FactorsNExtrusion110210Additive Amount110210Tests of Between-Subjects EffectsDe|3endent Variable: Tear ResistanceSource

12、Type III Sum of SquaresdfMean SquareFSig.Corrected Model2.50233.3347.563.0029207251920.7250351.243.000extrus787.001additive76117616.898.018extrusn * additive.0011.001.005.947Error1.76416.110Total924.9902DCorrected Total4.26619a. R Squared = .536 (Adjusted R Squared = .509)由圖可知，extrusn*a

13、dditive相互作用的P值為0.947，所以推斷交互作用不明顯Between-Subjects FactorsNExtrusion110210Additive Amount110210Tests of Between-Subjects EffectsDe pend EntH 日i 日 blE： TeeResistanc eSourceType III Sum f SquaresdfMean SquareFSig.Corrected Model2.501a21.25112.043.001920.7241920.7240070.631.000extrusn1.74111.74116.769.001additive.7