GitHub / Jabulente / Kruskal-Wallis-Using-Python
A simple Python implementation of the Kruskal-Wallis H-test to compare medians across three or more independent groups. Ideal for non-parametric analysis when data is not normally distributed. Includes example datasets, statistical interpretation, and optional post-hoc analysis.
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PURL: pkg:github/Jabulente/Kruskal-Wallis-Using-Python
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 915 KB
Dependencies parsed at: Pending
Created at: 3 months ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: 3 months ago
Topics: anova, anova-test, automation, data-analysis, data-science, dataset, exploratory-data-analysis, kruskal-wallis, machine-learning-algorithms, padas, python, scipy-stats, scripting, statistics