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  Encyclopedia of Keywords > Science > Mathematics > Statistics > Statistical Tests > Friedman Test   Michael Charnine

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  1. The Friedman test is a nonparametric test that compares three or more paired groups.
  2. The Friedman test is a test for treatment differences in a randomized complete block design: i.e.
  3. The Friedman test is used for two-way repeated measures analysis of variance by ranks.
  4. The Friedman test is similar to the Kruskal-Wallis H test.
  5. The Friedman test is used for two-way analysis of variance by ranks.

Friedman Test

  1. The value of the Friedman test statistic is 6.45, with a corresponding p -value of 0.0917.
  2. The Friedman test models the ratingsof n (rows) judges on k (columns) "treatments".
  3. This is due to the fact that in Friedman test, the observations are ranked within a block.
  4. Interpretation: The Friedman test can be seen as a two-way analysis of variance with one observation per cell.
  5. The Friedman test first ranks the values in each matched set (each row) from low to high.


  1. The Friedman test assumes that there are k experimental treatments ( k ≥ 2).
  2. A different multiple comparisons method is used following the Friedman test.
  3. To compare three or more matched groups, use the Friedman test followed by post tests.
  4. The multiple comparison approach is used to compare individual algorithm only if the Friedman test results in rejection of the null hypothesis.
  5. The multiple comparison method is used to determine which algorithm has a significantly different median cost if the Friedman test is rejected.


  1. Science > Mathematics > Statistics > Statistical Tests
  2. Glossaries > Glossary of Statistics /
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  Originally created: August 16, 2007.
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