📕 subnode [[@KGBicheno/a b_testing]] in 📚 node [[a-b_testing]]

A-B testing

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A statistical way of comparing two (or more) techniques, typically an incumbent against a new rival. A/B testing aims to determine not only which technique performs better but also to understand whether the difference is statistically significant. A/B testing usually considers only two techniques using one measurement, but it can be applied to any finite number of techniques and measures.

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