Скачать или смотреть How to Choose Between a Parametric and Nonparametric Analysis

Parametric analysis is based on assumptions about the distribution of population from which the sample was taken. Nonparametric analysis is not based on assumptions, that is, the data can be collected from a sample that does not follow a specific distribution.

This video is part of the How to Choose the Right Statistical Analysis Test course in Prism Academy. Learn more about Prism Academy: https://www.graphpad.com/prism-academy/


Time Stamps
00:00
0:12 - Difference between Parametric and Non-Parametric Anaylsis
0:27 - Examples of Parametric Analysis
0:33 - Examples of Nonparametric Analysis
0:44 - When is Parametric Analysis Preferred?
1:07 - When is Nonparametric Analysis Preferred?
1:24 - Example of Nonparatric Analysis


About the video
Join Jim Colton, M.S., Statistics and the Lead Statistician at Graphpad, as he compares the advantages and disadvantages to help you decide between using Parametric or Nonparametric analysis

In this video you will learn:
Differences between Parametric and Nonparametric analysis
Examples of Parametric and Nonparametric analysis
When to use Parametric or Nonparametric analysis

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