NUMBER 1 -

For each of the following situations, indicate which statistical test(s) you would use:

1. You want to know if patients lose weight during radiation therapy, so you conduct a study in which you weigh each patient before and after radiation therapy.
2. You want to know if women marry men who earn more than they do, so you select 100 working couples and obtain salaries from both spouses.
3. You want to know whether men and women are equally likely to like opera.
4. You want to know whether Eskimos, Alaskans, and Canadians have the same average heart rate.
5. You want to know if there is a difference in high school GPA for students who complete college and those who enroll but do not complete it.
6. You want to know if four treatments for curing acne are equally effective. Each of 50 adolescents receives one of the treatments for four months and is then classified as improved, same or worsened.
7. You want to know whether men and women in four regions of the country have the same average cholesterol levels.
8. You want to know if the average IQ of schizophrenics is 100.

NUMBER 2 -

Using SPSS 16.0 solve the following - Use gssft.sav to answer the following questions.

1. The variables husbft and wifeft tell you whether a husband and wife are employed full time. Use the sign test to test whether husbands and wife's are equally likely to be employed full time. What do you conclude?
2. Use a non parametric test (Mann Whitney Test) to see if there is a difference in hours worked for males and females (variable hrs1). What do you conclude?

NUMBER 3 –

For full time employees only (variable wrkstat equals 1), make a cross tabulation of satjob and respondents income in quartiles ( you must calculate this variable yourself - call it income 4). For each cell, obtain the appropriate percentages, observed and expected cell counts, and residuals. Also, obtain the chi square statistic, gamma and lambda.

1. Can you conclude that income and job satisfaction are independent? Why or why not?
2. What percentages of people with earnings in the top quartile are satisfied with their jobs? What percentage of people with earnings in the bottom quartile are very satisfied with their jobs?
3. Look at the value for gamma. Explain the meaning of the sign.
4. Which variable in the table would you consider to be the dependent variable? What is the value of Lambda when would you try to predict the dependent variable from the independent variable?

• Now look at the relationship between job satisfaction and income separately for men and women.

a. Does it make sense to compare the chi square values? Why or why not?

b. Can you conclude that for men, job satisfaction and income are independent? How about women?

c. Compare the strength of the association between the two variables for men and women. What can you conclude?

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