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A/B Testing in Python
course content

Kursinnhold

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.

Oppgave

Swipe to start coding

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

Løsning

Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 3. Kapittel 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.

Oppgave

Swipe to start coding

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

Løsning

Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 3. Kapittel 7
Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
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