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A/B Testing in Python
course content

Course Content

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.

Task

Swipe to start coding

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

Solution

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SectionΒ 3. ChapterΒ 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.

Task

Swipe to start coding

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

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 3. ChapterΒ 7
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