Friedman Test

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A Friedman Test is a non-parametric statistical test for detecting differences in treatments across multiple test attempts.



Classic examples of use are:
  • n wine judges each rate k different wines. Are any wines ranked consistently higher or lower than the others?
  • n welders each use k welding torches, and the ensuing welds were rated on quality. Do any of the torches produce consistently better or worse welds?
The Friedman test is used for one-way repeated measures analysis of variance by ranks. In its use of ranks it is similar to the Kruskal–Wallis one-way analysis of variance by ranks.
Friedman test is widely supported by many statistical software packages.