The Friedman test statistic is approximately chi-squared distributed with (k - 1) degrees of freedom, provided that either the number of blocks b or the number of treatments k is greater than or equal to 5.
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Q. 2The Friedman test is the nonparametric counterpart of the randomized block experimental design of the analysis of variance.
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Q. 3A one-sample t-test is the parametric counterpart of the Friedman test for randomized block experimental design.
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Q. 4The Friedman test is employed to compare two or more populations when the data are generated from a matched pairs experiment, and are either ordinal or interval, but not normally distributed.
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Q. 5We can use the Friedman test to determine whether a difference exists between two populations. However, if we want to determine whether one population location is larger than another, we must use the sign test.
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Q. 6The Friedman test is the nonparametric counterpart to the randomized block design of the analysis of variance.
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Q. 7The Friedman test is a nonparametric test that can be used to compare more than two dependent samples when the assumptions for an analysis of variance are invalid.
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