Statistics II Assignment 7 Part (I) 2015
Question # 00081549
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Updated on: 07/12/2015 12:40 AM Due on: 07/23/2015

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

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Solution: Statistics II Assignment 7 Part (I) 2015