Answered You can buy a ready-made answer or pick a professional tutor to order an original one.
MPA625 M5D1: Correlation & Causation Part 1I need it in question/ answer formatEach part has to have at least 500 words. In this module, you analyzed a hypothetical demand analysis. In this activity,
MPA625 M5D1: Correlation & Causation Part 1
I need it in question/ answer format
Each part has to have at least 500 words.
In this module, you analyzed a hypothetical demand analysis. In this activity, you will discuss the findings of your analysis.
Review Ammons, Chapter 26, Table 26.3 [XLSX file size 11.6 KB] and the related material in the text. There are consistently more calls for service than the number of officers on duty. Using this information, address the following questions:
- Are the increased calls for service the result of a lack of available officers on duty? Why?
- Propose a statistical method or concept to defend or support your position.
M5D2: Parametric vs. Nonparametric Part 2
In this module, you were introduced to parametric and nonparametric statistical tests. In this activity, you will discuss the differences between the two.
For this activity, review the following article:
Bettany-Saltikov, J., & Whittaker, V. J. (2014). Selecting the most appropriate inferential statistical test for your quantitative research study (Links to an external site.)Links to an external site.. Journal of Clinical Nursing, 23(11/12), pp. 1520-1531. Retrieved from http://vlib.excelsior.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=rzh&AN=103937909&site=eds-live&scope=site
Then, respond to the following:
- Compare and contrast the difference between parametric and nonparametric tests.
- Propose a scenario in which you would use the Chi-Square test instead of the Pearson’s R. Identify and classify your variables as well as the scale of measurement to justify your proposal.
- @
- 2022 orders completed
- ANSWER
-
Tutor has posted answer for $40.00. See answer's preview
****** **** the ******** solution *** **** kind ******