Is there a significant difference between the academic tracks on average student height? Explain. Provide a full interpretation of the results. Is there a difference between the number of hours students study and the hours they work?

QUANTITATIVE ANALYSIS: COMPARING GROUPS WITH T TESTS, ANALYSIS OF VARIANCE (ANOVA) AND SIMILAR NON-PARAMETRIC TESTS

Using the CollegeStudentData.sav file, do the following problems. Print your outputs after typing your interpretations on them. Circle the key parts of the output that you use for your interpretation.

9.1 Is there a significant difference between the academic tracks on average student height? Explain. Provide a full interpretation of the results.

9.2 Is there a difference between the number of hours students study and the hours they work? Also, is there an association between the two?

9.3 Write another question that can be answered from the data using a paired sample t test. Run the t test and provide a full interpretation.

9.4 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.

The problems require the use of “academic track.” This variable is not in the data set given (CollegeStudentData.sav).  To resolve this, you may pick any variable you want in the data set as a substitute.