Introduction to Power Analysis | StatsExamples

This video introduces the concept of power analysis, calculating our probability of not rejecting a false null hypothesis. The relationship between type I and type II errors, alpha and beta, and statistical power is covered.
The symbol beta is described and power is defined as 1-beta. Power is increased when the pattern of difference is larger, the variance is smaller, the sample size is larger, and when we use parametric tests instead of nonparametric tests.
Two-sample homoscedastic t-tests are used to illustrate the effects of differences in the population means, variance, and sample sizes on the power of this test. Approximations for the relative power of the Mann-Whitney U test and the Wilcoxon signed rank test are shown.
Post-hoc power analysis is also discussed in terms of calculating what we could have observed given the power of a test we performed.
This is the video that answers the question: what is power analysis?
StatsExamples website:
www.statsexampl...
Link to a related video about type I and type II errors is here:
• Type I and type II err...
Link to a related video about false positives and negatives is here:
• False positives and ne...
========music, image, and video credits========
All non-original images are believed to be in the public domain, available under a CC-0 or CC-by-SA license, obtained under paid license, or used under a "fair use" interpretation. If you believe that an item you own the copyright to is here, please contact us using the email available on the "About" section of the channel.
Details of credits for this video can be found at:
www.statsexampl...
#statsexamples #poweranalysis #statshelp #statistics #stats

[@pleiotropy]

More free statistics help and resources at the StatsExamples website:
www.statsexamples.com
- Pages with detailed information about a variety of stats topics.
- A reference section with clear definitions and statistical tables.
- Even some cartoons :)
Click here to subscribe:
th-cam.com/users/pleiotropy

[@ricardoafonso7563]

thank you

[@pleiotropy]

You're welcome, glad you found it useful :)