◑ applying · kind concept · level 3 → 4 via project · 48.25h
- Requiere: Hypothesis Testing
- Aplica: Statistical Power
- Cita: Improving Sensitivity (CUPED)
Randomised controlled experiments on product metrics. Sensitivity is the bottleneck — see CUPED — and ratio metrics need care with the delta method.
A/B testing is a user-experience research method. A/B tests consist of a randomized experiment that usually involves two variants, although the concept can be also extended to multiple variants of the same variable. It includes application of statistical Hypothesis Testing or “two-sample Hypothesis Testing” as used in the field of Statistics. A/B testing is employed to compare multiple versions of a single variable, for example by testing a subject’s response to variant A against variant B, and to determine which of the variants is more effective.
Enlaces
- Requiere: Hypothesis Testing
- Aplica: Statistical Power
- Cita: Improving Sensitivity (CUPED)