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

Exercise

Plotting the difference distribution

Now lets plot the difference distribution of our results that is, the distribution of our lift.

The cont_var and test_var as well as the cont_conv and test_conv have been loaded for you. Additionally the upper and lower confidence interval bounds of this distribution have been provided as lwr_ci and upr_ci respectively.

Instructions

100 XP
  • Calculate mean of the lift distribution by subtracting the control conversion rate (cont_conv) from the test conversion rate (test_conv)
  • Generate the range of x-values for the difference distribution, making it 3 standard deviations wide.
  • Plot a normal distribution by specifying the calculated lift_mean and lift_sd.
  • Plot a green vertical line at the distributions mean, and a red vertical lines at each of the lower and upper confidence interval bounds. This has been done for you, so hit 'Submit Answer' to see the result!