Using the CollegeStudentData.sav file,

1. Is there a significant difference between the academic tracks on average student height? Explain. Provide a full interpretation of the results.
2. Is there a difference between the number of hours students study and the hours they work? Also, is there an association between the two?
3. What is an example question that can be answered from the data using a paired sample t test. Run the t test and provide a full interpretation.
4. Are there differences between fast track and regular track students in regard to the average number of hours they (a) study, (b) work, and (c) watch TV? Hours of study is quite skewed so compute an appropriate nonparametric statistic.
5. Identify an example of a variable measured at the scale/normally distributed level for which there is a statistically significant overall difference (F) between the three marital status groups. Complete the analysis and interpret the results. Do appropriate post hoc tests.
6. Use the Kruskal-Wallis test, with MannWhitney post hoc follow-up tests if needed, to run the same problem as in #1. How do students' heights differ depending on academic track and marital status, and do academic track and marital status interact? Run the appropriate analysis and interpret the results.
7. How do academic tracks and having children interact and will either seem to affect current GPA?
8. Are there differences between the age groups in regard to the average number of hours they (a) study, (b) work, and (c) watch TV?