Frequently Asked Questions on Dunn’s Test
Q. When should we perform Dunn’s Test?
We should perform Dunn’s Test when we have conducted a Kruskal-Wallis test and found a significant difference among group medians. Dunn’s Test helps identify which specific pairs of groups have significantly different medians through pairwise comparisons.
Q. Difference between Dunn’s test and Dunnett’s test?
Dunn’s test compares multiple groups with one control group, while Dunnett’s test compares each group with a single control group. Dunn’s test is often used with non-parametric data, whereas Dunnett’s test is used in parametric analysis.
Q. What is Dunn’s multiple comparisons post hoc test?
Dunn’s test is a non-parametric post-hoc test used after obtaining a significant result in the Kruskal-Wallis test. It performs pairwise comparisons between groups to identify which pairs have significantly different medians.
Q. What is the null hypothesis of the Dunn’s test?
The null hypothesis of Dunn’s test states that there are no significant differences between the medians of the compared groups. It assumes that the observed differences are due to random variation rather than true differences in group medians.
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