Multiple Choice
If the usual assumptions behind parametric tests are met (at least approximately) ,
A) distribution-free tests are more powerful than parametric tests.
B) distribution-free tests are somewhat less powerful than parametric tests.
C) the tests are indistinguishable.
D) you shouldn't use a parametric test.
Correct Answer:
Verified
Correct Answer:
Verified
Q2: The Mann-Whitney test is to independent samples
Q3: Non-parametric tests are those that do not
Q4: Assume that we asked 20 subjects to
Q5: The major advantage of distribution-free tests is
Q6: A distribution-free test<br>A) is almost synonymous with
Q8: Distribution-free tests and parametric tests differ in
Q9: With at least some distribution-free tests, a
Q10: Friedman's rank test for k-related samples is
Q11: The following depression data using the two-tailed
Q12: Which of the following is a nonparametric