What are the most common reasons you would select a

Question

Part A. Questions about non-parametric procedures

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

Part B. SPSS Assignment

In this part of the assignment you will perform the non-parametric version of the tests you used in Week 4. In each case, assume that you opted to use the non-parametric equivalent rather than the parametric test. Using the relevant data files from Assignment #4, complete the following tests and paste your results into a Word document:

1. The non-parametric version of the dependent t test (use the SPSS dataset from Assignment #4, Part A);
2. The non-parametric version of the independent t test (use the SPSS dataset created in Assignment #4, Part B); and,
3. The non-parametric version of the single factor ANOVA (use the SPSS dataset in Assignment #4, Part C).

Answer 1

Please make sure to read all the questions described below carefully and respond each one in a detailed manner as per the instructions provided. Q1. Write down the most common reasons you would choose a non-parametric test over the parametric alternative? Q2. Describe the issue of statistical power in the non-parametric tests (as compared to their parametric counterparts). Which kind tends to be more powerful? Explain why? Q3. For each of the given parametric tests, recognize the suitable non-parametric counterpart: a) Dependent t test b) Independent samples t test c) Repeated measures ANOVA d) One-way ANOVA e) Pearson Correlation