Calculating Sample Size with Power Analysis

Sample size plays a critical role in every statistical analysis. Learn how power analysis can help you get a large enough sample size to detect the effect you are looking for while avoiding unnecessarily large sample sizes that waste resources.

You will learn
- What power analysis is and why it’s needed
- Type I and Type II errors and how they relate to power
- The five parameters that affect power

This video is part of the Graphpad Statistics Bootcamp series on Prism Academy, presented by Dr. Anne Segonds-Pichon, Bio-Statistician at the Babraham Institute. Watch the entire course on Prism Academy: https://www.graphpad.com/prism-academy/

Try Prism for free today: https://www.graphpad.com/demos/

Видео Calculating Sample Size with Power Analysis канала GraphPad Software