Multiple Choice
Distribution-free tests and parametric tests differ in their null hypotheses in that
A) distribution-free tests have a less specific null hypothesis.
B) distribution-free tests make very strong assumptions about the mean.
C) distribution-free tests don't really have a null hypothesis.
D) parametric tests have rather loose null hypotheses.
Correct Answer:
Verified
Correct Answer:
Verified
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
Q7: If the usual assumptions behind parametric tests
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
Q13: One of the unusual things about distribution-free