Brought to you by the Center for Professional Development with a special thank you to the content writer and presenter, Mary Naglak, PhD, RD LDN.
Few people understand the differences between parametric and nonparametric statistics and most do not realize how important it is to make the right choice. This module discusses the differences between parametric and nonparametric statistics and why it is important to know which type of test is appropriate to use and in what situation. Participants will learn basic statistical concepts such as types of data and distribution of data and how they play a role in determining the appropriate statistical test to choose. Practical scenarios are used to illustrate the appropriate use of nonparametric tests versus their parametric counterparts. After completing this module, the participant should be able to list parametric tests and their nonparametric alternatives, and to explain when nonparametric statistics should be used to analyze data.
CPEU Hours: 2
CPE Level 2
Suggested Learning Needs Codes: 9010, 9050,1140
- Describe the difference between parametric and nonparametric statistical tests.
- List the parametric tests commonly applied and their nonparametric alternatives.
- Explain when nonparametric tests should be applied rather than parametric tests.
This e-learning self-study includes web links and resources for additional Online Learning opportunities.
The course includes pdf files of the speaker presentations and handouts as well as a downloadable CPE certificate.
Immediately following the purchase, you will receive an access email for the module. This email contains a link which will remain active for 30 days once the link has been activated by the user.
This product is approved for individual use only. Only the registered participant is eligible for continuing professional education units.
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