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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.
Uppgift

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.

Lösning

Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 3. Kapitel 4
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bookChoosing the Criterion

Svep för att visa menyn

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.
Uppgift

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.

Lösning

Switch to desktopByt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan
Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

close

Awesome!

Completion rate improved to 4.55
Avsnitt 3. Kapitel 4
single

single

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