Dunn’s Test
Dunn’s Test is used after the Kruskal-Wallis one-way analysis of variance by ranks to identify which groups differ from each other. It determines whether the difference between the medians of various groups is statistically significant. Dunn’s Test adjusts for multiple comparisons, making it suitable for analyzing data with several groups.
Dunn’s Test is a non-parametric statistical test used for comparing multiple groups to each other. It’s particularly useful when analyzing data with unequal sample sizes or when the assumption of normality is violated.
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