Data Science, Product Analytics, Ab Testing, Simulation, Deep Dives.
sample_df['customer_value'] \ + effect_size * sample_df.treatment return sample_df Now, we can treat this synthetic experiment data as we usually do with A/B test analysis, run a bunch of bootstrap simulations, estimate effects, and then get a confidence interval for this effect. We will be using