Kruskal-Wallis H Test
Use: The Kruskal-Wallis test is a non-parametric method used to determine if there are statistically significant differences between three or more independent groups. It's suitable for non-normally distributed data or ordinal data.
Example: Assessing whether there is a difference in pain relief among three different painkillers in a clinical trial.
Column Requirement: Continuous data for the response variable and a categorical variable for groups.
Steps:
Select a continuous variable (e.g., scores) and a categorical variable (e.g., treatments).
Check for assumptions such as independence and ordinal data.
Perform the Kruskal-Wallis test to compare medians.
Evaluate the p-value. A low p-value indicates significant differences between groups.
Conduct post-hoc tests for pairwise comparisons if the Kruskal-Wallis test is significant.
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