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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.
Taak

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.

Oplossing

Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 3. Hoofdstuk 4
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bookChoosing the Criterion

Veeg om het menu te tonen

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.
Taak

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.

Oplossing

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Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 3. Hoofdstuk 4
single

single

some-alt