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A/B testing
- A user experience research methodology. A/B tests consist of a randomized experiment with two variants, A and B. A/B testing includes the application of statistical hypothesis testing or “two-sample hypothesis testing” as used in the field of statistics. It is a way to compare two versions of a single variable, typically by testing a subject’s response to variant A against variant B, and determining which of the two variants is more effective. ← Wikipedia
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