Kruskal-Wallis test is a nonparametric test that can be used to compare more than two independent samples when the assumptions for an analysis of variance are invalid.
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Q48: In a Kruskal-Wallis test, there are five
Q49: The normal approximation to the Wilcoxon signed
Q50: The critical value is taken from the
Q51: The Kruskal-Wallis test is applied to compare
Q52: A one-sample t-test is the parametric counterpart
Q54: The nonparametric counterpart of the parametric one-way
Q55: In a Kruskal-Wallis test, there are four
Q56: In a Kruskal-Wallis test, there are three
Q57: The Kruskal-Wallis test is always:
A) one-tail
B) two-tail
C)
Q58: The Kruskal-Wallis Test for Differences in more
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