Description
Complete the following:
What are the most common reasons you would select a non-parametric test over the parametric alternative?
Discuss the issue of statistical power in non-parametric tests (as compared to their parametric counterparts). Which type tends to be more powerful? Why?
For each of the following parametric tests, identify the appropriate non-parametric counterpart:
Dependent t test
Independent samples t test
Repeated measures ANOVA (one-variable)
One-way ANOVA (independent)
Pearson Correlation
Length: 250 words or less for each question
