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About non-parametric procedures

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Reference no: EM13918697

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:
  • Dependent t test
  • Independent samples t test
  • Repeated measures ANOVA (one-variable)
  • One-way ANOVA (independent)
  • 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:
  • The non-parametric version of the dependent t test (use the SPSS dataset from Assignment #4, Part A);
  • The non-parametric version of the independent t test (use the SPSS dataset created in Assignment #4, Part B); and,
  • The non-parametric version of the single factor ANOVA (use the SPSS dataset in Assignment #4, Part C).

Reference no: EM13918697

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