Friedman test
Friedman test
The Friedman test (pronounced: /ˈfriːd.mən/), is a non-parametric statistical test developed by the U.S. economist Milton Friedman. The test is used to detect differences in treatments across multiple test attempts. The Friedman test is the non-parametric alternative to the one-way ANOVA with repeated measures.
Etymology
The test is named after its inventor, Milton Friedman, an American economist and statistician who was awarded the 1976 Nobel Memorial Prize in Economic Sciences for his research on consumption analysis, monetary history and theory, and the complexity of stabilization policy.
Procedure
The Friedman test ranks the data in each repeated measure, then sums those ranks for each subject. The test statistic is a measure of the differences of these sums of ranks. The Friedman test is used for one-way repeated measures analysis of variance by ranks. In case of significant results, post-hoc tests are used to determine which groups are significantly different from each other.
Related Terms
See Also
External links
- Medical encyclopedia article on Friedman test
- Wikipedia's article - Friedman test
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