Which of the following is not a reason to prefer a nonparametric test to a parametric test?
A) Nonparametric tests can be used for ordinal data.
B) Nonparametric tests are computationally more straightforward.
C) Nonparametric tests are less influenced by outliers.
D) Nonparametric tests are more powerful under conditions of normality.
Correct Answer:
Verified
Q2: Comparing the output of strawberries grown on
Q3: If for a particular data set,the skewness
Q4: A goodness-of-fit-test is to be performed to
Q5: The Wilcoxon signed rank test assumes that
Q6: For a chi-square goodness-of-fit-test,the calculated chi-square value
Q8: To apply the Wilcoxon rank sum test
Q9: A chi-square goodness-of-fit-test is being used to
Q10: A goodness-of-fit-test is always conducted as a(n):
A)lower-tail
Q11: A random sample of n observations,each of
Q12: Consider a cell in a contingency table.Given
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