Nonparametric tests are more likely to be appropriate than parametric tests when:

Name: Nonparametric tests are more likely to be appropriate than parametric tests when:
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Question

Quizplus · Accepted Answer

Nonparametric tests are robust to the assumption of normality and do not require the population to be normally distributed. They are particularly useful when the dependent variable is severely skewed, which violates the assumption of normality required for parametric tests. Therefore, choice A is the best choice for this question.

Nonparametric Tests Are More Likely to Be Appropriate Than Parametric