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What are the most common reasons you would select a


Assignment: Apply Non-Parametric Tests

In the first part your assignment document, provide short answers to the following questions (250 words or less).

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).

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2/12/2016 4:37:29 AM

For this assignment apply Non-Parametric Tests. The following task evaluates parts wise to describe clearly. In the 1st part your assignment document; give short answers to the subsequent questions. Part A. Questions about non-parametric procedures What are the most general causes you would choose a non-parametric test over the parametric alternative? Converse the problem of statistical power in non-parametric tests (as compared to their parametric counterparts). Which kind tends to be more powerful? Why? For each of the subsequent parametric tests, recognize the appropriate non-parametric counterpart: • Dependent t examination • Independent examples t test • Repeated calculates ANOVA (one-variable) • One-way ANOVA (independent) • Pearson Correlation