1. Learn
    2. /
  2. Courses
    3. /
  3. A/B Testing in Python

Exercise

Simpson's paradox in action

Generalizing our A/B test results to different segments of the population can be of utmost importance to the business. Sometimes we want to save the cost of running other tests in different cities, by different devices, etc. Making sure that our results are consistent by subpopulations can increase our confidence to make such generalizations.

Examine the simp_balanced and simp_imbalanced datasets for Simpson's paradox to gain a good sense for how this phenomena can occur in A/B testing scenarios.

Instructions 1/4

undefined XP
    1
    2
    3
    4
  • Calculate the conversion rates of each Variant separately and by Browser.