The Wilcoxon signed rank test is a nonparametric test that uses the directions of differences observed in a matched-pairs sample to determine whether the relative frequency distributions of two statistical populations are identical to or different from one another.
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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
Q59: The Kruskal-Wallis H test is an extension
Q60: The Kruskal-Wallis test is an extension of
Q62: The Wilcoxon signed rank test is applied
Q63: A computer laboratory manager was interested in
Q64: Apply the Kruskal-Wallis test to determine if
Q65: A two-independent sample t-test corresponds to a
Q66: In a Kruskal-Wallis test, there are four
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