Data Science, Product Analytics, Ab Testing, Simulation, Deep Dives.
False).retention.mean() # | | treatment | retention | # |---:|------------:|------------:| # | 0 | 0 | 0.640057 | # | 1 | 1 | 0.937648 | Now, we can also run simulations to see the optimal number of samples to reach 90% of statistical power for retention. We can see that the 12.5K sample size also