Nonparametric tests do not require a level of measurement as strong as it is necessary for parametric tests.
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Q2: If the distributional assumptions of a parametric
Q6: The sign test on a matched-pairs sample
Q7: Parametric tests typically assume the underlying population
Q7: If we wish to compare central tendency
Q10: The Wilcoxon signed-rank test for a population
Q11: The Kruskal-Wallis test is a nonparametric alternative
Q11: When conducting a hypothesis test for the
Q16: Nonparametric tests use fewer and weaker _
Q18: The Wilcoxon rank-sum test is based completely
Q20: For the Spearman rank correlation test we
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