Multiple Choice
Nonparametric tests can be appropriate for quantitative data when:
A) one or more of the assumptions underlying a particular parametric statistical test has been violated
B) the sample size is very large
C) the underlying population can be assumed to be normally distributed
D) all assumptions for a particular parametric statistical test have been met
E) none of these
Correct Answer:

Verified
Correct Answer:
Verified
Q48: In a Kruskal-Wallis test to determine whether
Q49: In testing the hypotheses <img src="https://d2lvgg3v3hfg70.cloudfront.net/TB8220/.jpg" alt="In
Q50: In a normal approximation to the Wilcoxon
Q51: The Friedman test is the nonparametric counterpart
Q52: The Wilcoxon Signed-Rank test may be more
Q54: A nonparametric method to compare two populations,
Q55: Statistical tests that are not very sensitive
Q56: In all applications of the Kruskal-Wallis test,
Q57: The Friedman test is a nonparametric test
Q58: Suppose you want to use the Wilcoxon