A5.5, Application Problem ‐ Crosstabulation and Chi‐Square. Using the “college student data.sav” and “hsbdata.sav” files, do the following problems. Ace my homework – 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. Ace my homework – Write two research questions and two null hypotheses relating to the following pairs of data, run crosstabs and interpret the results of chi‐square and phi (or Cramer’s V), as discussed in Chapter 6 and in the interpretation of Output 8.1 for the following data pairs: 1) “gender” and “marital status” and 2) “age group” and “marital status”. Get custom essay samples and course-specific study resources via course hero homework for you service – Include Case Processing Homework help – Summary, Crosstabulation, Chi‐Square Tests, and Symetric Measures tables and refer to them in your interpretation. Get custom essay samples and course-specific study resources via course hero homework for you service – Include a discussion of relevant differences or similarities. 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. Ace my homework – Write two research questions and two null hypotheses relating to the following pairs of data, run crosstabs and interpret the results of chi‐square and phi (or Cramer’s V), as discussed in Chapter 6 and in the interpretation of Output 8.1 for the following data pairs: 1) “mathach” and “calc” and 2) “mathach” and “trig”. Get custom essay samples and course-specific study resources via course hero homework for you service – Include Case Processing Homework help – Summary, Crosstabulation, Chi‐Square Tests, and Symetric Measures tables and refer to them in your interpretation. Get custom essay samples and course-specific study resources via course hero homework for you service – Include a discussion of relevant differences or similarities. 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. 

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