Assume that we asked 20 subjects to participate in a smoking cessation study. We recorded their craving for a cigarette before and after applying a nicotine patch. One reason we might want to use a distribution-free test is because
A) we have too few subjects for a parametric test.
B) there are some outliers that we don't want to have undue influence on the results.
C) the data are normally distributed.
D) the subjects are all male.
Correct Answer:
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Q3: A distribution-free test
A) is almost synonymous with
Q4: When the assumptions behind parametric tests are
Q5: When using Wilcoxon's test for paired samples,
Q6: Distribution-free tests are
A) more sensitive to the
Q7: Tied scores often present a problem in
Q9: Wilcoxon's test for paired samples focuses on
A)
Q10: One of the unusual things about distribution-free
Q11: If the usual assumptions behind parametric tests
Q12: In the previous example of the smoking
Q13: The major advantage of distribution-free tests is
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