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