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Please enable JavaScript in your browser settings or update your browser.Apprendre Criterion | Performing One More AB Test
A/B Testing in Python
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A/B Testing in Python

A/B Testing in Python

1. What is A/B Test?
A/B Test and our GoalMetrics and HypothesisHow Not to Fail a Test
2. The First A/B Test
Data StudyWhat Criterion to ChooseCriterionControl and Test GroupsPlots to CompareIntervals to CompareNow We Can AnswerTo Sum Up
3. Performing One More AB Test
Data StudyPreparationPreprocessing DataChoosing the CriterionCriterionDividing into GroupsComparing GroupsWhat to Do with the ButtonPink or Blue?Upd MetricFinish

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Criterion

0.00 < 0.05 => the distribution isn't normal.

Looking again at the scheme, we will define that we are going to use the Mann-Whitney criterion in our A/B test.

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Section 3. Chapitre 5
Nous sommes désolés de vous informer que quelque chose s'est mal passé. Qu'est-il arrivé ?
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