Quantitative Analysis: ANOVA and Nonparametric Kruskal-Wallis Test Assignment

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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.

Identify an example of a variable measured at the scale/normally distributed level for which

there is a statistically significant overall difference (F) between the three marital status groups.

Complete the analysis and interpret the results. Do appropriate post hoc tests.

9.5 Identify an example of a variable measured at the scale/normally distributed level for which

there is a statistically significant overall difference (F) between the three marital status groups.

Complete the analysis and interpret the results. Do appropriate post hoc tests.

9.6 Use the Kruskal–Wallis test, with Mann‒Whitney post hoc follow-up tests if needed, to run

the same problem as 9.1. Compare the results.

9.7 Do students’ heights differ depending on academic track and marital status, and do

academic track and marital status interact? Run the appropriate analysis and interpret the

results.

9.8 Do academic track and having children interact and does either seem to affect current GPA?

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.

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