Discussion Thread: Chi-Square, Cross Tabulation, and Non-parametric Association

In the thread for each short-answer discussion, the student will post short answers to the prompted questions. The answers must demonstrate course-related knowledge and support their assertions with scholarly citations in the latest APA format. The minimum word count for all short answers cumulatively is 200 words.
For each thread the student must include a title block with your name, class title, date, and the discussion forum number; write the question number and the question title as a level one heading (e.g. D1.1 Variables) and then provide your response; use Level Two headings for multi-part questions (e.g. D1.1 & D1.1.a, D1.1.b, etc.), and include a reference section.
RespondRespond to the following short answer questions in Chapter 7 from the Morgan, Leech, Gloeckner, & Barrett textbook:D.5.7.1 In Output 7.1: (a) What do the terms “count” and “expected count” mean? (b) What does the difference between them tell you?D.5.7.2 In Output 7.1: (a) Is the (Pearson) chi-square statistically significant? Explain what it means. (b) Are the expected values in at least 80% of the cells ≥ 5? How do you know? Why is this important?D.5.7.4 Because father’s and mother’s education revised are 3-level variables with at least ordinal data, which of the statistics used in ProblemD.5.7.3 is the most appropriate to measure the strength of the relationship: phi, Cramer’s V, or Kendall’s tau-b? Interpret the results. Why are tau-b and Cramer’s V different?D.5.7.5 In Output 7.4: (a) How do you know which is the appropriate value of eta? (b) Do you think it is high or low? Why? (c) How would you describe the results?