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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 came to you and said he or she had read about tests-such as the Chi-Square, the Mann-Whitney U test, the Wilcoxon Signed-Rank test, and Kruskal-Wallis one-way analysis of variance-and wanted to know when you would use each and why each would be used instead of the t-tests and ANOVA.

How would you answer the young professional's question?

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