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A/B Testing in Python

bookChoosing the Criterion

The preprocessed file is already put in the code editor!

As we did with the first A/B test, we will do it now. We need to:

  • Look at the distribution of the data;
  • Choosing the table below decide what criterion to select for the work.
Task

Swipe to start coding

  1. Import the seaborn with the sns alias.
  2. Import the scipy.
  3. Import the statsmodels.api with the sm alias.
  4. Build the distplot using the sns library and the 'contact_views_number' column.
  5. Build the qqplot using the sm library and the 'contact_views_number' column.
  6. Perform the normaltest with the 'contact_views_number' column.

Solution

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SectionΒ 3. ChapterΒ 4
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bookChoosing the Criterion

Swipe to show menu

The preprocessed file is already put in the code editor!

As we did with the first A/B test, we will do it now. We need to:

  • Look at the distribution of the data;
  • Choosing the table below decide what criterion to select for the work.
Task

Swipe to start coding

  1. Import the seaborn with the sns alias.
  2. Import the scipy.
  3. Import the statsmodels.api with the sm alias.
  4. Build the distplot using the sns library and the 'contact_views_number' column.
  5. Build the qqplot using the sm library and the 'contact_views_number' column.
  6. Perform the normaltest with the 'contact_views_number' column.

Solution

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Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 3. ChapterΒ 4
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