# FAQ: Why Data? - Hypothesis Testing for A/B Tests

This community-built FAQ covers the “Hypothesis Testing for A/B Tests” exercise from the lesson “Why Data?”.

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## FAQs on the exercise Hypothesis Testing for A/B Tests

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It would be interesting to delve deeper into the calculation of whether it was a success or not, I can tell the result is 0.000861041411367(so I can tell its a success). How does that all get put together though?

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I understand that we are testing for significance, but I would like to request a step by step what the code is doing.

How is ‘from scipy.stats import chi2_contingency’ affecting the variables? There isn’t even an over-simplified attempt to explain what this import does. Just copy/paste and click next.

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