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Using the CollegeStudentData.sav set (see Appendix A on how toretrieve it), do the following problems. Print your outputs after typing yourinterpretations on them. Please circle the key parts of the output that youdiscuss.9.1 Is there a significant difference between the academic trackson average student height? Explain. Provide a full interpretation of theresults.9.2 Is there a difference between the number of hours studentsstudy and the hours they work? Also, is there an association between the two?9.3 Write another question that can be answered from the datausing a paired sample t test. Run the t test and provide a full interpretation.
9.4 Are there differences between fast track and regular trackstudents 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 appropriatenonparametric statistic.
Make Sure to:
1.Attachyour word document for review2. Write the problemnumber and the problem title as a level one heading (Example ‐ A.1.1: Chapter2, Problem 2.1, and then provide yourresponse.3. Use level two headingswith short titlesfor multi part questions (Example‐ A1.1.a, Short Title,A1.1.b, Short Title II, etc.)4. Use appropriate level headings for key elementsof your discussion such as Research Questions, Hypotheses, DescriptiveStatistics, Assumptions & Conditions, Interpretation, Results, and others.Your goal is to make your analysis easy to follow and logical.5.Ensurethat all tables and graphs are legible and include a figure number.6. Carefully reviewyour document prior to submission for formatting, flow, and readability. Keepin mind that running the statistical tests is only the first half of thechallenge; you must be able to clearly communicate your findings to the reader.
Morgan, G. A., Leech, N., Gloeckner, G., & Barrett, K. (2020). IBM SPSS for introductory statistics (6th ed.). Routledge.
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