Now run a t test to test the hypothesis using the

This preview shows page 4 - 5 out of 5 pages.

10Now run a t test to test the hypothesis, using the dataset “Statistics Polit SetC data.sav”: Analyze→ Compare Means→ Independent Samples T Test. Move the variable cesd(variable #35) into the slot for Test Variable(s). Then move the variable worknow(variable #6) into the slot for Grouping Variable. To run this analysis, you must know how the group variable is coded. For worknow, a code of 0 indicates that the woman was not working, and a code of 1 was used to code those who were employed. Click the “Define Groups” pushbutton and on the next dialog box enter 0 for Group 1 and 1 for Group 2. Then click Continue. Click the “Options” pushbutton and make sure that the computer will compute a 95% CI. Then click Continue and OK to run the analysis, and answer these questions:a.How many women were employed versus not employed in this sample?(1)
b.What are the mean CES-D scores for employed and non-employed women?
c.What is the value of the F statistic for Levene’s test, and what is the level of significance?What does this mean?(1)
d.Which formula for t is appropriate in this situation – the pooled variance (equal variance assumed) or separate variance formula (equal variance not assumed)? Why?(1)
e.What is the value of t for the appropriate test? What is the level of significance?(1)
4
f.What is your conclusion? Is your research hypothesis supported? Write a paragraph reporting the result.
g.Attach the SPSS printout.(1)Group StatisticsCurrently employed?NMeanStd.DeviationStd. ErrorMeanCES-D ScoreNo52420.896512.46425.54450Yes43615.823910.13655.48545Independent Samples TestLevene's Test forEquality ofVariancest-test for Equality ofFSig.tdfSig. (2-tailed)Mean DifferenceStdDiffCES-D ScoreEqual variances assumed23.615.0006.825958.0005.07264Equal variances not assumed6.954957.514.0005.072645

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture