How does the sample size affect the power of the Kruskal-Wallis Test?
- It depends on the data
- Larger sample sizes decrease power
- Larger sample sizes increase power
- Sample size has no effect on power
Larger sample sizes increase the power of the Kruskal-Wallis Test. Power is the ability of a test to detect a true effect when there is one.
Loading...
Related Quiz
- How does the effect size influence the power of a test?
- How does the Breusch-Pagan test check for heteroscedasticity in residuals?
- What steps would you take to validate the assumptions of a multiple linear regression model?
- The _________ test is a non-parametric test that compares the medians of two paired groups.
- How do post-hoc tests in ANOVA assist in interpreting the results?