Discuss the below:
Q1. What are the most common reasons you would select a non-parametric test over the parametric alternative?
Q2. Discuss the issue of statistical power in non-parametric tests (as compared to their parametric counterparts). Which type tends to be more powerful? Why?
Q3. 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