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1. tea-tasting: statistical analysis of A/B tests

   A Python package for the statistical analysis of A/B tests featuring Student's t-test, Z-test, Bootstrap, and quantile metrics out of the box.

   2024-08-28 Tags: statistics, t-test, a b testing, python, github by klotz
2. Bayesian A/B Testing Explained | by Vatsal | May, 2021 | Towards Data Science

   2021-05-12 Tags: bayesian, a b testing by klotz
3. Building a K-means Clustering Model for Population A/B Testing With BigQuery | by Marie Lefevre | Mar, 2021 | Towards Data Science

   2021-03-10 Tags: k-means, clustering, a b testing by klotz
4. How Not to Run an A/B Test. Peeking: Why you should never do it! | by David Blaszka | Towards Data Science

   2020-12-05 Tags: a b testing by klotz
5. A gentle introduction to the mathematics behind A/B testing | by Jérôme Spielmann | Nov, 2020 | Towards Data Science

   2020-11-29 Tags: a b testing, chi-squared, statistics, machine learning by klotz
6. Hypothesis Testing: A/B Tests Explained | by Trist'n Joseph | Jul, 2020 | Towards Data Science

   2020-07-17 Tags: a b testing by klotz
7. A/B Testing with Chi-Squared Test to Maximize Conversions and CTRs

   2020-06-06 Tags: a b testing, chi-squared, bucket, statistics by klotz

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