What are the most common reasons you would select a non-parametric test over the parametric alternative ...

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 1. What are the most common reasons you would select a non-parametric test over the parametric alternative?
 

2. Discuss the issue of statistical power in non-parametric tests (as compared to their parametric counterparts). Which type tends to be more powerful? Why?
 

3. For each of the following parametric tests, identify the appropriate non-parametric counterpart:
 

a. Dependent t-test
 

b. Independent samples t-test
 

c. Repeated measures ANOVA (one-variable)
 

d. One-way ANOVA (independent)
 

e. Pearson Correlation

 

    • 8 years ago
    If a statistical variable understudy can be represented on a ratio or at least an interval scale of measurement ...
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