Friday, December 9, 2016

Power analysis in A/B Tests

I recently wrote a very basic jupyter notebook demonstrating how to calculate the sample sizes necessary to detect a minimum effect size given desired false positive and false negative rates. I used a web site A/B test as an example, but the technique is generally applicable.

3 comments:

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