- Kruskal-Wallis Test assumes that each of our samples is an independent SRS and will give trustworthy conclusions only if this condition is met.
- Kruskal-Wallis Test assumes that your data come from a continuous distribution.
- Kruskal-Wallis Test is an alternative to One-Way ANOVA when the guidelines for its use are not met (such as when the largest sample standard deviation is more than twice as large as the smallest).
|Variable Names (optional):|
|Sample data goes here (enter numbers in columns):|
|Null Hypothesis:||$H_0:$ All groups have the same distribution.|
|Alternative Hypothesis:||$H_a:$ Values are systematically higher in some groups than in others.|
|Level of Significance:||$\alpha=$|