An advantage of nonparametric statistics is that some nonparametric tests can be used to analyze situations in which data is available at only the nominal or the ordinal level.
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Q1: Nonparametric statistics are sometimes called distribution-dependent statistics.
Q5: Statistical techniques based on assumptions about the
Q5: To compare the means of two populations
Q10: The methods of parametric statistics can be
Q12: To compare the means of two populations
Q13: In the one-sample runs test for randomness
Q16: The sampling distribution of R, the number
Q16: The one-sample runs test is a nonparametric
Q18: The appropriate test for comparing the means
Q36: When only ordinal-level data are available, Spearman's
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