B3. Now run a t test to test the hypothesis, using the commands Analyze ➜ Compare Means ➜ Independent Samples T Test. Move the variable cesd into the slot for Test Variable(s). Then move the variable...

B3. Now run a t test to test the hypothesis, using the commands Analyze ➜ Compare Means ➜ Independent Samples T Test. Move the variable cesd into the slot for Test Variable(s). Then move the variable worknow 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? (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? (d) Which formula for t is appropriate in this situation—the pooled variance or separate variance formula? Why? (e) What is the value of t for the appropriate test? What is the level of significance, and what does this mean? (f) If you had used the other formula, would you have arrived at different conclusions? (g) What is the 95% CI? What does this mean?