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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
Comparing Groups

In the previous A/B test, we created a distplot to compare 2 A/B test groups. Let's try to build the qqplot for this test. Furthermore, in this chapter, we will compare the confidence intervals of groups.

Opgave

Swipe to start coding

  1. Build the qqplot for the df_control.
  2. Build the qqplot for the df_test.

Løsning

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 3. Kapitel 7
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book
Comparing Groups

In the previous A/B test, we created a distplot to compare 2 A/B test groups. Let's try to build the qqplot for this test. Furthermore, in this chapter, we will compare the confidence intervals of groups.

Opgave

Swipe to start coding

  1. Build the qqplot for the df_control.
  2. Build the qqplot for the df_test.

Løsning

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 3. Kapitel 7
Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Vi beklager, at noget gik galt. Hvad skete der?
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