ANOVA - ANOVA and Nonparametric. 1 Applying Analysis of...

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ANOVA and Nonparametric… 1 Applying Analysis of Variance (ANOVA) and Nonparametric Tests Simulation Michael Taylor RES/ 342 Mike Mundt University of Phoenix
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ANOVA and Nonparametric… 2 Applying Analysis of Variance (ANOVA) and Nonparametric Tests Simulation Through this simulation, I learned that ANOVA is used as a statistical tool in operations research and total quality management. One way ANOVA tests only one variable. Two way ANOVA would test the effects of two variables at once. In a two way test there would be results for the two parameters, as well as results showing whether there was a relation between the two. This means there are usually three p values that result from a two way ANOVA. Using ANOVA assumes normal distributions of populations, that any errors are random and independent of one another, and that all populations have the same variance. Because these are assumptions, sometimes other tests (nonparametric) such as the Kruskal-Wallis, have to be used. Kruskal- Wallis is used when it is difficult to meet the assumptions of ANOVA. Not being in a key decision maker role at my place of employment it would be difficult to
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This note was uploaded on 06/30/2011 for the course BUS 342 taught by Professor None during the Spring '11 term at University of Phoenix.

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ANOVA - ANOVA and Nonparametric. 1 Applying Analysis of...

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