Reference no: EM132194232
GENERAL INSTRUCTIONS FOR ASSIGNMENT
1. Attach your word document for review and grading. Other file formats are not accepted and will not be graded.
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, Check the Completed Questionnaires) 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!
ASSIGNMENT QUESTION
A8.1a: Chapter 11, Problem 11.1, One-Way (or Single Factor) ANOVA. Write a short narrative of your process and an interpretation of your findings.
Cut and paste the One-Way Descriptives, Test of Homogeneity of Variances, and ANOVA tables directly into your document and refer to them in your interpretation.
A8.1b: Chapter 11, Problem 11.2, Post Hoc Multiple Comparison Tests. Write a short narrative of your process and an interpretation of your findings.
Cut and paste the ANOVA, Post Hoc Tests, and Homogeneous Subset tables for the Tukey HSD tests and the Games-Howell tests directly into your document and refer to them in your interpretation.
A8.1c: Chapter 11, Problem 11.1 & 11.2 One-Way ANOVA with Post Hoc Tests. Write the results of Problem 11.1 and 11.2 to include tables.
A8.2: Chapter 11, Problem 11.3, Nonparametric Kruskal-Wallis Test. Write a short narrative of your process, an interpretation of your findings, and write your results. Cut and paste the Ranks and Test Statistics tables directly into your document and refer to them in your interpretation.
A8.3: Chapter 11, Problem 11.4, Two-Way (or Factorial) ANOVA.
Write a short narrative of your process, an interpretation of your findings, and write your results to include tables.
Cut and paste the Between Subjects Factors, Descriptive Statistics, Tests of Between Subjects Effects, and Profile Plots tables directly into your document and refer to them in your interpretation. A8.4, Application Problem - ANOVA.
Using the "college student data.sav" and "hsbdata.sav" files, do the following problems.
Write a short narrative of your process, an interpretation of your findings, and write your results.
Cut and paste your outputs directly into your document and refer to them in your interpretation.
a. Write a research question and a null hypothesis exploring the potential difference in the students' scholastic aptitude test (satm) mean scores based upon ethnicity (ethnic).
Conduct a One-Way ANOVA, Tukey HSD Post Hoc test, and the Games-Howell Post Hoc test to test for the difference in mean scores.
Include One-Way Descriptives, Test of Homogeneity of Variances, ANOVA, Post Hoc Tests, and Homogeneous Subset tables and refer to them in your interpretation.
Prior to running the analysis, discuss how the data meets the assumptions and conditions for the tests you are going to conduct. Support your assertion with the appropriate descriptive statistics.
b. Write a research question and a null hypothesis exploring the potential difference in students' heights based upon gender and marital status. Examine any potential interaction between gender and marital status.
Conduct a Two-Way ANOVA to test for the difference in mean heights.
Include Between Subjects Factors, Descriptive Statistics, Tests of Between Subjects Effects, and Profile Plots tables and refer to them in your interpretation.
Prior to running the analysis, discuss how the data meets the assumptions and conditions for the tests you are going to conduct.