What is the Kruskal-Wallis test?
The Kruskal-Wallis test is a non-parametric statistical test used to determine whether there are statistically significant differences between three or more independent groups. If the Kruskal-Wallis test indicates significant differences, Dunn’s test can be applied post-hoc to identify which specific pairs of groups differ significantly from each other. Dunn’s test is tailored for pairwise comparisons following a significant result in the Kruskal-Wallis test, providing insights into specific group differences.
How to Perform Dunn’s Test in Python
Dunn’s test is a statistical procedure used for multiple comparisons following a Kruskal-Wallis test. Here’s a breakdown of what it does and when it’s used:
Table of Content
- Dunn’s Test
- What is the Kruskal-Wallis test?
- Key points about Dunn’s test
- How to Perform Dunn’s Test with Python
- Step-by-Step Guide to Perform Dunn’s Test in Python
- Frequently Asked Questions on Dunn’s Test