Other Computer Solutions for Chapter 14 SPSS. Two-independent-samples t-test. Follow these steps: Analyze Compare Means Independent Samples T-Test… Move dv to Test Variable(s): box Move iv to Grouping Variable: box Click Define groups button Supply integer values for groups to be compared Continue OK Mann_Whitney U-test. Follow these steps: Analyze Nonparametric Tests 2 Independent Samples… Move dv to Test Variable List: box Move iv to Grouping Variable: box Click Define Groups… button Supply integer values for groups to be compared Continue OK Dependent-samples t-test. Follow these steps: Analyze Compare Means Paired Samples T-Test… Select first variable in the pair Select second variable in the pair Click on the “arrow” button in the middle of the box to move to Paired Variables: box OK Wilcoxon Matched-Pairs Signed-Ranks test. Follow these steps: Analyze Nonparametric Tests 2 Related Samples… Click on first variable in the pair Click on second variable in the pair Click on the “arrow” button in the middle of the box to move to Paired Variables: box OK SAS. Many of the analyses illustrated in this chapter can be accomplished using Procedures in SAS. Proc Ttest provides the independent samples t-test, Proc Npar1way provides the Wilcoxon Rank Sum Test and the Median Test, and Proc Univariate provides the dependent samples t-test. The application of these tests within SAS is illustrated using examples from earlier in the chapter. More specifically, the data example used for the independent samples t-test (see Equation 14.12) and later for the Mann–Whitney U-Test is used to illustrate the use of Proc Ttest and Proc Npar1way, while the dataset from the dependent samples t-test example (see Equation 14.22) is used to illustrate the use of Proc Univariate for conducting a dependent samples t-test. data twogroup; input SES score; datalines; 0 13 0 13 0 21 0 16 0 22 0 15 0 18 0 20 0 22 0 14 1 40 1 28 1 18 1 32 1 17 1 27 1 19 1 21 1 16 1 30 ; proc ttest; var score; class ses; proc npar1way; var score; class ses; run; data dependent; input reading math; difference=reading-math; datalines; 58 43 47 49 38 40 35 45 43 38 47 49 34 38 56 64 53 52 44 49 ; proc univariate; var difference; run;