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A/B Testing in Python
course content

Kursusindhold

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

book
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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Sektion 3. Kapitel 5
Vi beklager, at noget gik galt. Hvad skete der?
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