Why each would be used instead of the t-tests and anova


Discussion Post

Within the Discussion Board area, write 300-500 words that respond to the following questions with your thoughts, ideas, and comments. Be substantive and clear and use examples to reinforce your ideas.

There are numerous times when the information collected from a real organization will not conform to the requirements of a parametric analysis. That is, a practitioner would not be able to analyze the data with a t-test or F-test (ANOVA).

Presume that a young professional has read about tests-such as the Chi-Square, the Mann-Whitney U test, the Wilcoxon Signed-Rank test, and the Kruskal-Wallis one-way analysis of variance-and wants to know when it is appropriate to use each test, what the test is used for, and why each would be used instead of the t-tests and ANOVA. How would you address this young person's concerns?

The response should include a reference list. Double-space, using Times New Roman 12 pnt font, one-inch margins, and APA style of writing and citations.

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Business Management: Why each would be used instead of the t-tests and anova
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