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There are numerous times when the information that is 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 (e.g., the chi-square test, 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?
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