The Spearman rank correlation test is a nonparametric test that (1) 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, and (2) determines whether a sample comes from a population with a specified median.
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Q2: The Spearman rank correlation coefficient is calculated
Q7: The Spearman rank-correlation test is a nonparametric
Q8: The Friedman test is employed to compare
Q14: We can use the Friedman test to
Q15: A one-sample t-test is the parametric counterpart
Q20: The Friedman test is a nonparametric test
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Q137: The population Spearman correlation coefficient is labelled
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