Copyright

Non-Parametric Inferential Statistics: Definition & Examples

Instructions:

Choose an answer and hit 'next'. You will receive your score and answers at the end.

question 1 of 3

Which of these is NOT a parameter?

I. Population mean

II. Population standard deviation

III. Sample mean

Create Your Account To Take This Quiz

As a member, you'll also get unlimited access to over 79,000 lessons in math, English, science, history, and more. Plus, get practice tests, quizzes, and personalized coaching to help you succeed.

Try it risk-free
Try it risk-free for 30 days. Cancel anytime
Already registered? Log in here for access

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

2.

Examples of parametric methods include:

I. t-test

II. z-test

III. Mann-Whitney U test

Create your account to access this entire worksheet
A Premium account gives you access to all lesson, practice exams, quizzes & worksheets
Access to all video lessons
Quizzes, practice exams & worksheets
Certificate of Completion
Access to instructors
Create an account to get started Create Account

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
Support