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A/B Testing in Python

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Do you recall we talked about the fact that we have to be careful while choosing metrics for the A/B test? Let's try to add one metric to check if the result differs. For example, we may try to find if the result changes if we use only users that have been to the site earlier.

Task

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  1. Create the data that includes users that have visited the site for the first time using the 'first_visit_after_test_start' column.
  2. Perform the statistical analysis with the Mann-Whitney criterion.

Solution

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SectionΒ 3. ChapterΒ 10
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Do you recall we talked about the fact that we have to be careful while choosing metrics for the A/B test? Let's try to add one metric to check if the result differs. For example, we may try to find if the result changes if we use only users that have been to the site earlier.

Task

Swipe to start coding

  1. Create the data that includes users that have visited the site for the first time using the 'first_visit_after_test_start' column.
  2. Perform the statistical analysis with the Mann-Whitney criterion.

Solution

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Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 3. ChapterΒ 10
single

single

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