Author Question: Nonparametric tests can be appropriate for quantitative data when: a. one or more of the ... (Read 100 times)

123654777 · **on:** Jul 24, 2018

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

Question 2

Comparing the output of strawberries grown on plots using fertilizer A with that grown on otherwise identical plots using fertilizer B, in order to make a general assessment of relative fertilizer effectiveness, may well call for:
a. the sign test
b. Kruskal-Wallis test
c. Wilcoxon rank-sum test
d. Wilcoxon signed-rank test
e. either Kruskal-Wallis test or Wilcoxon rank-sum test