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Data Science

A/A Testing in Minutes

Agenda

In this quick tutorial, we go over A/A testing. A/A testing is the tactic of using A/B testing to test two identical versions of a page against each other. Typically, this is done to check whether the tool used to run the experiment is statistically fair.

What you’ll learn

  • Introduction to A/A testing
  • How to use A/A testing to help conduct A/B or multivariate tests
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Blair Heckel
Blair holds a Bachelors degree in Marketing from Washington State University and has a background of leading data-driven marketing campaigns.
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