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  3. A/B Testing in Python

Exercise

Plotting distributions

Understanding how both discrete (e.g. binomial) and continuous (e.g. normal) probability distributions play a role in A/B testing enables us to gain additional visual insights into the nature of the data and deeper conceptual understanding of the theories that power the statistical frameworks of online experimentation.

Of great importance are two distributions: the binomial and the normal distributions. Follow the instructions to create plots and explore their parameters.

Instructions 1/2

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  • 1
    • Plot a binomial distribution with probability of success p = 0.6 and number of trials n = 3000.
  • 2
    • Plot a normal distribution with mean = 0 and standard deviation = 1.