Non-parametric tests are those that do not rely on parameter estimation or strong assumptions about distributions.
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Q29: Friedman's rank test for k-related samples is
Q30: Friedman's rank test for k-correlated samples is
Q31: The Mann-Whitney test is used to compare
Q32: Would you reject or retain the null
Q33: In distribution-free tests, you usually reject the
Q35: Distribution-free tests tend to be greatly affected
Q36: The Kruskal-Wallis test is appropriate when
A) we
Q37: The Friedman test
A) ranks the scores within
Q38: One major argument promoting the use of
Q39: The following depression data using the two-tailed
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