Nonparametric tests can be appropriate for quantitative data ...

[123654777]

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

[SeanoH09]

Answer to Question 1

A

Answer to Question 2

C

[123654777]

Gracias!

[shailee]

Excellent