Non-Parametric Inferential Statistics: Definition & Examples


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question 1 of 3

Which of these is NOT a parameter?

I. Population mean

II. Population standard deviation

III. Sample mean

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1. Power, in terms of parametric and non-parametric methods, is the probability of:


Examples of parametric methods include:

I. t-test

II. z-test

III. Mann-Whitney U test

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About This Quiz & Worksheet

The quiz/worksheet combo is designed to assess your knowledge of non-parametric inferential statistics. Topics on the quiz you will be expected to know about include power and examples of parametric methods.

Quiz & Worksheet Goals

In these materials you will be tested over:

  • Examples of a parameter
  • Definition of power
  • Examples of parametric methods
  • Non-parametric methods
  • Assumptions of the Wilcoxon signed-rank test

Skills Practiced

You can use our tools to practice the following skills:

  • Information recall - access the knowledge you have gained regarding examples of a parameter
  • Knowledge application - use your knowledge to answer a question regarding examples of parametric methods
  • Interpreting information - verify that you can read information regarding assumptions made by the Wilcoxon signed-rank test and interpret it correctly

Additional Learning

To learn more about these methods, review the lesson titled Non-Parametric Inferential Statistics: Definition & Examples. The lesson covers these other topics:

  • Definition of normal distribution
  • Examples of non-parametric methods
  • Components of parametric methods