[Wikipedia page](https://en.wikipedia.org/wiki/Power_of_a_test) In statistics, the **power** of a binary hypothesis test is the probability that the test *correctly rejects the null hypothesis* ($H_0$) when a specific alternative hypothesis ($H_1$) is true. Some free software to calculate... - [StatQuest YouTube video about Power Analysis](https://www.youtube.com/watch?app=desktop&v=VX_M3tIyiYk) - [G*Power](https://en.wikipedia.org/wiki/G*Power "G*Power") ([https://www.gpower.hhu.de/](https://www.gpower.hhu.de/)) - WebPower Free online statistical power analysis ([https://webpower.psychstat.org](https://webpower.psychstat.org)) - R package pwr - R package WebPower - Python package statsmodels ([https://www.statsmodels.org/](https://www.statsmodels.org/)) ### 5 minute introduction to power analysis with G\*Power <iframe width="560" height="315" src="https://www.youtube.com/embed/veaEDIM13Ks" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> ### Clear videos for understanding statistical power/power analysis - [Power analysis](https://youtu.be/VX_M3tIyiYk) - [Statistical power](https://youtu.be/Rsc5znwR5FA) --- #### Related #statistics