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Parametric vs. Nonparametric Tests

Parametric vs. Nonparametric Tests PLDZ-4253
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Parametric vs. Nonparametric Tests

The Kruskal-Wallis Test. This test is used to compare a continuous outcome in more than two independent samples. It is an equivalent of ANOVA in parametric tests and sometimes it is called one-way non-parametric ANOVA test. This assignment is centered on comparing Parametric and Non-Parametric tests using the Kruskal-Wallis test for analyzing a public health data.

You are also required to describe the conditions under which it would be appropriate to use the Kruskal-Wallis test and specify the assumptions that are required in conducting parametric form of the Kruskal-Wallis test. Apply the non-parametric statistical tests.

Please write the assignment follow APA guidelines.

Be sure to support your work SpecificCitations

References list are correct.

Answer the following Questions:

  1. Briefly describe a public health example (of your own or from literature on theKruskal-Wallis test ).
  2. Explain when it would be appropriate to use the Kruskal-Wallis test and why.
  3. Include in your answer an assessment of the assumptions required to use the parametric form of the Kruskal-Wallis test
  • Please write the assignment follow APA guidelines.
  • Be sure to support your work Specific Citations
  • References list are correct.
  • Please write the assignment follow APA guidelines.
  • Be sure to support your work Specific Citations
  • References list are correct.

 

Parametric vs. Nonparametric Tests The Kruskal-Wallis Test. This test is used to compare a continuous outcome in more than two independent samples. It is an equivalent of ANOVA in parametric tests and sometimes it is called one-way non-parametric AN
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