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Anova and Non-parametric

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Miscellaneous

 

Written by:

Eli F

 

Date added:

May 26, 2016

 

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A

 

No of pages / words:

2 / 331

 

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The errors are random and independent of each other. 2. Each population has a normal distribution, 3. All population have the same variable. I also learned that if I can not assume if the population has a normal distribution it is recommended to use the nonparametric Kruskal-Wallis test to compare data for more than two populations...
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The Kruskal-Wallis test is also used to analyze data that does not have a normal distribution. Interpretation of the Kruskal-Wallis test is basically similar to that of the parametric one way ANOVA however; nonparametric tests are usually simpler to calculate. In the simulation, I made suggestions to review project plans and effort estimation, review testing procedures and increase channels for effective communication, although I should have done a two-way Anova instead...
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