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Feature Description
The Kruskal-Wallis Test is a non-parametric statistical test used to determine whether there are significant differences between three or more independent groups. It extends the Mann-Whitney U test for more than two groups and is appropriate for ordinal or continuous data that do not meet parametric assumptions. The test ranks all data points from all groups together, compares the ranks between groups, and calculates a H statistic based on these ranks. A significant H value indicates that at least one group differs significantly from the others in terms of central tendency, but it does not identify which specific groups differ.
A non-parametric version of ANOVA used to compare three or more groups.
Use Case
used to determine whether there are significant differences between three or more independent groups.
Benefits
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Priority
High
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