多元統(tǒng)計(jì)實(shí)驗(yàn)報(bào)告二

1、實(shí)驗(yàn)報(bào)告2班級(jí)學(xué)號(hào) 姓名開(kāi)課學(xué)院商學(xué)院任課教師馬艷梅成績(jī)實(shí)驗(yàn)內(nèi)容：實(shí)驗(yàn)2.1 熟悉One-Sample T Test功能實(shí)驗(yàn) 2.2 熟悉 Independent-Samples T Test 功能實(shí)驗(yàn) 2.3 熟悉 Paired-Samples T Test 功能實(shí)驗(yàn)2.4熟悉One-Way ANOVA功能運(yùn)用實(shí)驗(yàn) 2.5 熟悉 General Factorial 功能 實(shí)驗(yàn)要求：寫(xiě)出實(shí)驗(yàn)步驟根據(jù)實(shí)驗(yàn)內(nèi)容撰寫(xiě)分析報(bào)告教師評(píng)語(yǔ)：教師簽名：年 月 日實(shí)驗(yàn)報(bào)告：實(shí)驗(yàn)2.1（1）選用Employee data.sav文件中的變量，Analyze中選擇Compare Means再選擇 One-Samp

2、le T Test,將 salary 作為 Test 因變量，test 值分別取 34000、35000、34419、24000， 作均值檢Test取34000商 employee data - SPSS Data Editorczi |File Edit View Data Transform Analyze Graphs Utilities Window Help由于概率P=0.5930.05，故接受原假設(shè)，說(shuō)明樣本salary均值與假設(shè)無(wú)顯著性差異。Test取35000時(shí)，實(shí)驗(yàn)結(jié)果如下圖所示:P=0.4500.05，故接受原假設(shè)。說(shuō)明樣本salary均值與假設(shè)的35000無(wú)顯著性差別。T

3、est取34419時(shí)，實(shí)驗(yàn)結(jié)果如下圖所示：可知，P=0.9990.05，故接受原假設(shè)。說(shuō)明樣本salary均值與假設(shè)的34419無(wú)顯著性差別。Test取24000時(shí)，實(shí)驗(yàn)結(jié)果如下圖所示：可知，p=0.000 將 salary 作為 Test 因變量， test值取34419，所得實(shí)驗(yàn)數(shù)據(jù)結(jié)果如下圖所示：匐 employee data - SPSS Data Editor洛舊I昌I嘎I狼| m橋i隹i留|垂|同冷giFile Edit View Insert Format Analyze Graphs Utilities Window Help咨舊I昌回割皂 囿Q|到回 Bl +|二|口|隼I劇

4、更I5135.U00jLlxlPata View X Variable 誑已&72010/10/2陪 Outputs - SPSS ViewerFile Edit View Data Transform Analyze Graphs Utilities Window Help$31.200$36.150日Q Output白回T-TestTitleNotesOjie-Ssjuple StatisticsOjie-Ssjicple Test09/17/61 02/24/64 01/28/弘NMeanStd.DeviationStd. ErrorMeanCurrent Salary60$57,520

5、.83$22,241.982$2,871.428Test Value = 34419tdf氣i商 (2-tailed)Mean Difference95% Confidence Interval of the DifferenceLowerUpperCurrent Salary1.08059.284$3,101.83-$2,643.88$8,847.55Test$14,25。$14,25。3 nnr可知，P=0.2840.05,故接受原假設(shè)。說(shuō)明隨機(jī)抽樣的樣本均值salary與假設(shè)的34419沒(méi)有 顯著性差異。實(shí)驗(yàn) 22 熟悉 Independent-Samples T Test 功能Anal

6、yze 選擇 Compare Means 選擇 Independent-Samples T 七明心選用 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(yàn)，選擇define groups,M個(gè)group分別定義為0、1Define Groups.Options$11.550胳 Outputl - SPSS ViewerFile Edit View Insert Format Analyze Graphs Utilities Window Help07

7、/01/4211/08/6603/19/54畫(huà) employee data - SPSS Data EditorFile Edit View Data Transform Analyze Graphs Utilities Window Help03/15/65*02/19/63*date02/03/5206/23/58$57,000$40,200salbegm$27,。$18,750Employee Code id Date of Birth bdate Educational Level (yeaEmployment Category | Beginning Salary salb ，淼 M

8、onths since Hire jobtPrevious Experience (n 令 Minority ClassificationQ I Independent-Samples T Test：S Current Salary salary1216121?121?1?191 T T T T T T 3$26.250 $38,850 $21/50 $24,000 $16,950 $21 ?150 $31,060 $60,375$15,000$12/50$11/100$9,000$9,000$12,600$27,480國(guó)9|昌|e|國(guó)間 /皇 Bl +ll 田|口|日 Q (Mput白回T-

9、Test T-Test.置 Title“墻Notes甫| Group Statistics面 Independent Samples TestGroup StatisticsGenderNMeanStd.DeviationStcl. ErrorMeanCurrent Salary0258$41,441.78$19.-499.214$1,213.9681216$2ti.031.92$7_.558.021$514.258Independent Samples TestLevenes Test for Equality of Variancest-test for Equality of Means

10、FSig.tdr(2-tailed)MeanDifferenceStd. ErrorDifference95% Confidence Interval of the DifferenceLowerUpperCurrent Salary Equal variances assumedEcp.ial variances not assumed119.669.00010.94511.6SS472344.262.000.000$15,409.86$15409.86J b 407.906JE318.400J12643.32 $12816.73$18176.40$18003.00實(shí)驗(yàn) 23 熟悉 Pair

11、ed-Samples T Test 功能錄入數(shù)據(jù)圈思考與緣習(xí)- SPSS Data EditorFile Edit View Data Transform Analyze Graphs Utilities Window Helpm g|c|國(guó)i富通i唯屬i量匿悟w8 : conEijiTier8consumerbeforeafterva.rvarva11562246331144345553668911518866Analyze 選擇 Compare Means 再選擇 Paired-Samples T test, Paired-variables 里面將 before與after選入其中，單擊

12、ok實(shí)驗(yàn)結(jié)果如下圖所示:File Edit View Insert Format Analyze Graphs Utilities Window Help|H|s|a| ai| | 回輪舊|屈|El回 Output-晅| T-TestMeanNStd.DeviationStd. Error MeanPairBEFORE5.3881.593.5651AFTER6.0081.852.655 T-TestPaired Samples Statistics固 Title嵯Notes 璃j Faired Saaiiples Statistics 圈Paired Ssniples CoiTelations

13、:演Paired Samples TestPaired Samples CorrelationsNCorrelationSiP：.Pair 1 BEFORE & AFTER8.724.042Paired Samples TestPaired DifferencestdrSig.(2-tailed)MeanStd.DeviationStd. ErrorMean95% Confidence Interval of the DifferenceLowerUpperPair 1BEFORE - AFTER-631.302.460-1.71.46-1.3577.217實(shí)驗(yàn)24熟悉OneWay ANOVA

14、功能運(yùn)用Analyze 選擇 Compare Means 再選擇 OneWay ANOVA,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fg| Tomato - SPSS Data Editor _ -*! 口 間*File Edit View Data Transform Analyze Graphs Utilities Window HelpM HJ晝耍| c|c| g|儉|也司魚(yú)| 口|垂|國(guó) |1 : fert1fertheightinitialvarvarvarvar11743I One

15、-Way ANOVA2168431775OK42762：$ mmai i-ieignt ymtiaijucpciiucill LI52804in磅 Final Height heightPaste6387373911ResetCancelHelpba ctor：q | | 炒 renmzer penjPost Hoc. 1 Options.13? | Data ViewX Variable View /I 0.01KB/S T 0.03KB/S4 OnewayANOVAFinal HeightSum of SquaresdfMean SquareFSig.Between Groups310.0

16、002155.00010.690.025Within Groups58.000414.500Total368.0006由實(shí)驗(yàn)結(jié)果可知，P=0.0250.05，則知肥料的不同造成的最終高度之間有顯著性差異。即不 同的肥料使得最終高度不一樣。實(shí)驗(yàn)2.5熟悉Univariate功能錄入數(shù)據(jù)如下圖筐思考與練習(xí)6 - SPSS Data EditorFile Edit View Data Transform Analyze Graphs Utilities Window Help園口僵期g|c|國(guó)1洞|?|到唯|圖屋I垂庸I用*31 :路段y時(shí)段路段varvarvarvarvarva.r136.6011

17、234.1011337.2011435.6011538.DO11630.6001127.9001832.4001931.80011027.30011128.10121229.90121332.20121431.50121530.10121627.60025| |Data View X Variab.e View /|SPSS Processor is readyAnalyze 選擇 General Linear Model 再選擇 Univariate，將 Analyze 選入到“dependengt variable ”框里，因子“地區(qū)”和“品牌”選入到“ fixed factor”框中，單

18、擊“model”按鈕，彈出“univariate model”對(duì)話框，選擇“custom”。在小營(yíng)選項(xiàng)中選 擇主效應(yīng)選項(xiàng)“main effects”，將“地區(qū)”和“品牌”兩個(gè)因子選入model 框中，如下圖 所示： Univariate Analysis of VarianceBetween-Subjects FactorsN時(shí)臨 015115路段 110210310Tests of Between-Subjects EffectsDepmn&mnt Variable： YSourceType III Sum of SquaresdfMean SquareFSig.Corrected Model46S.S15a3156.27241.2