Quantitative Analysis: T-Tests and Group Comparison Assignment? QUANTITATIVE ANALYSIS: COMPARING GROUPS WITH T TESTS, ANALYSIS OF VARIANCE (ANOVA) AND SIMILAR NON-PARAME

 Quantitative Analysis: T-Tests and Group Comparison Assignment 

QUANTITATIVE ANALYSIS: COMPARING GROUPS WITH T TESTS, ANALYSIS OF
VARIANCE (ANOVA) AND SIMILAR NON-PARAMETRIC TESTS
SPSS Questions
Chapter 9
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.
Make Sure to:
1. Attach your word document for review and grading. Other file formats are not
accepted and will not be graded. Use the following filename format:
LastName_BUSI820_AssignmentX.docx
2. Include an APA title block with your name, class title, date, and the assignment number.
3. Include a table of contents and a reference section. Number your pages in the footer
along with the date. Include a header starting on page 2 with the Course and
assignment number.
4. 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.
5. Use level two headings with short titles for multi part questions (Example ‐ A1.1.a,
Short Title, A1.1.b, Short Title II, etc.)
6. 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.
7. Ensure that all tables and graphs are legible and include a figure number.
8. 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.