A/B test experiment guidlines.

🧐 Table of contents

• This project contains an overview of some fundamental steps to perform an A/B test experiment in Python:

  • 1. What's an A/B test ?
  • 2. Setting up the experiment and basic metrics of an A/B test
  • 3. Control group (A) and test group (B)
  • 4. Minimum sample size required to have statistically significant results
  • 5. Defining the null hypothesis (H0) and alternative hypothesis (H1) of an A/B test.
  • 6. Keeping or rejecting null hypothesis (H0)

📪 Contact

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