1. Learn
  2. /
  3. Courses
  4. /
  5. A/B Testing in Python

Exercise

Confidence intervals for proportions

Drawing random samples from a population produces slightly different confidence intervals.

The confidence level represents the percentage of the those intervals that capture the true population parameter. For example, we can expect that 90% of the confidence intervals produced at the 90% confidence level to contain the population parameter. pandas, numpy, and proportion_confint have been imported for you.

Instructions 1/3

undefined XP
    1
    2
    3
  • Assuming our whole population is the users in checkout_page 'A', calculate the mean purchase rate.