Issue of statistical power in non-parametric tests

Reference no: EM13108218

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

Reference no: EM13108218

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