Understanding Statistical Power by Simulating Data
If you run A/B tests, you have likely encountered the term statistical power. And if you’re like me, you might know that running a power analysis before your test is the right thing to do, and that having 80% power is ‘good’. If you’re really fancy, you might have read the Wikipedia page and seen something about β, false negatives, and the like. You might have even stressed the importance of this topic to your colleagues.