Posted: February 25th, 2022

Using the CollegeStudentData.sav file, do the following problems. Print your outputs after typing your interpretations on them. Please 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.

1. Write the problem number and the problem title as a level one heading (Example ‐ A.1.1: Chapter 2, Problem 2.1, and then provide your response.

2. Use level two headings with short titles for multi part questions (Example ‐ A1.1.a, Short Title, A1.1.b, Short Title II, etc.)

3. Use appropriate level headings for key elements of your discussion such as Research Questions, Hypotheses, Descriptive Statistics, Assumptions & Conditions, Interpretation, Results, and others. Your goal is to make your analysis easy to follow and logical.

4. Ensure that all tables and graphs are legible and include a figure number.

5. Carefully review your document prior to submission for formatting, flow, and readability. Keep in mind that running the statistical tests is only the first half of the challenge; you must be able to clearly communicate your findings to the reader.

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