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Part A. Questions about non-parametric procedures

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:
1. Dependent t test
2. Independent samples t test
3. Repeated measures ANOVA (one-variable)
4. One-way ANOVA (independent)
5. Pearson Correlation

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