{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

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

This preview shows pages 1–3. Sign up to view the full content.

ANOVA and Nonparametric… 1 Applying Analysis of Variance (ANOVA) and Nonparametric Tests Simulation Michael Taylor RES/ 342 Mike Mundt University of Phoenix

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
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
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### Page1 / 3

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

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online