Applying ANOVA and Nonparametric Tests Simulation

In the ?Applying compendium of variance and Nonparametric Tests? modelling, the Praxidike Systems Corporation is a softw ar faithful that develops and provides enterprise-wide software solutions to a wide range of customerele. Praxidike Systems has given me the fortune as the Quality Assurance Manager to monitor on-time obstetrical delivery of its projects and client satisfaction over a four month time period. In the simulation I had to apply analysis of variance in addition to the nonparametric test, Kruskal-Wallis, to determine the ca practice sessions of delay in project delivery and what can be done to bear away defects in the actual product.

As I completed the simulation the lessons I learned relative to ANOVA and nonparametric tests accommodate:In order to make the correct decision I first had to decide which type of test to use. The Kruskal-Wallis test is use to compare data for more than two populations and is used to disassemble data which does not take a shit a normal distribution, and/or is ordinal and not quantitative. To use ANOVA there are three assumptions: Errors are random and independent of each other. severally population has a normal distribution and all of the populations have the same variance (University of Phoenix, 2009).

I also learned that when subscribeing an ANOVA test the one-way analysis is just that, it only looks at one variable such as employee competency.



A nonpartizan ANOVA analysis is what compares two variables such as client satisfaction and employee competency. Accurately identifying whether to use a one-way analysis or a two-way analysis is a deprecative step in performing the tests.

Lastly, I learned to consider the correct variables, I made a couple of poor decisions in the simulation because I failed the correct variable.

By completing this simulation, I believe that I would be able to use the two-way ANOVA to determine the effectiveness of marketing materials...

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