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Statistical significance

For your results and conclusions to be valid, any experiment must have a significant exposure. For instance, if you test a product change and only one user sees the change, you can't extrapolate from that single user that the change will be beneficial/detrimental for your entire user base. This is true for any experiment that is a simple randomized controlled experiment (e.g. this is also done when testing new drugs or vaccines). Furthermore, even a large sample size (e.g. approx. 10,00…

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