If the distributional assumptions of a parametric test are valid yet we choose to use a nonparametric test, the nonparametric test is more powerful.
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Q1: When conducting a hypothesis test for the
Q3: If we have a matched-pairs sample of
Q4: The Kruskal-Wallis test is always a _-tailed
Q5: If we wish to compare central tendencies
Q6: The Wilcoxon rank-sum test is used as
Q7: Parametric tests typically assume the underlying population
Q8: Parametric tests are distribution-free tests.
Q9: The null hypothesis of the Wald-Wolfowitz runs
Q10: The Wilcoxon signed-rank test for a population
Q11: The Kruskal-Wallis test is a nonparametric alternative
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