Statistics Apply Non-Parametric Tests

Complete the following:

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?
4. For each of the following parametric tests, identify the appropriate non-parametric counterpart:
5. 1. Dependent t test
   2. Independent samples t test
   3. Repeated measures ANOVA (one-variable)
   4. One-way ANOVA (independent)
   5. Pearson Correlation
    

6. In this assignment, you will perform the non-parametric version of the tests you used previously. In each case, assume that you opted to use the non-parametric equivalent rather than the parametric test.

   Using the data files from earlier assignments, complete the following tests and paste your results into your WORD document:

   1. Activity 4a: non-parametric version of the dependent t test
   2. Activity 4areformatted: non-parametric version of the independent t test
   3. Activity 4C: non-parametric version of the single factor ANOVA