(Statistical) power in practice: One equation

This video gives a unified explanation of power so that you can integrate it in real world analyses. Basic knowledge of statistics and programming is assumed. 00:00 Motivation 02:11 Power definition (Normal approximation) 11:15 Power calculation examples with app. 18:51 How to simulate null distribution of effects 25:09 Definition using the empirical distribution of null effects 28:49 Finding the MDE in practice (root-finding) 30:53 A few examples with pure simulation approach + conclusion One equation to compute power and the minimum detectable effect (normal assumption). Simulate a null distribution from operational data. Solve for the MDE with the empirical distribution of effects.