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Author Question: Nonparametric tests can be appropriate for quantitative data when: a. one or more of the ... (Read 91 times)

123654777

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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


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SeanoH09

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Reply #1 on: Jul 24, 2018
Answer to Question 1

A

Answer to Question 2

C


123654777

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Reply 2 on: Jul 24, 2018
Wow, this really help

matt95

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Reply 3 on: Yesterday
Gracias!

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