Using the CollegeStudentData.sav set (see Appendix A on how to
retrieve it), do the following problems. Print your outputs after typing your
interpretations on them. Please circle the key parts of the output that you
discuss.
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.
Make Sure to:
1.
Attach
your word document for review
2. 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.
3. Use level two headings
with short titles
for multi part questions (Example
‐ A1.1.a, Short Title,
A1.1.b, Short Title II, etc.)
4. 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.
5.
Ensure
that all tables and graphs are legible and include a figure number.
6. 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.
Morgan, G. A., Leech, N., Gloeckner, G., & Barrett, K. (2020). IBM SPSS for introductory statistics (6th ed.). Routledge.
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