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Friedman's Test
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Friedman's Test
Does not assume
- Normal Distribution
- Equal Variances
Extension of Wilcoxon signed rank test
Distribution approximates chi-square
is
- Rank based non-parametric test
- Alternate to repeated ANOVA
- Not as powerful as ANOVA
- Less sensitive to outliers
Assumes
- Observations are independent
- Random sample from population
Information
- Description
- Mind Map on Friedman's Test, created by MAPC Insights on 21/01/2024.
- Created by
- MAPC Insights · Jan 2024
- Updated
- Jan 21, 2024
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