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Is a property of a hypothesis testing method: the probability of rejecting the null hypothesis given that it is false, i.e. the probability of not making a type II error. The power of a test depends on sample size, effect size, and the significance ($\alpha$) level of the test.

3 votes
2 answers
304 views

Significance of effect size less then estimated by power

Suppose I estimate a sample size needed for a hypothesis test of proportion difference, using a binomial distributional assumption, with power 80% and effect size 25%. Then I perform an A/B experimen …
koch_kir's user avatar
  • 117
5 votes
2 answers
2k views

Optimal unbalanced design for A/B test

I want to find the right way to distribute variants (control/test) in A/B-test with the constraint of no more 10 percent of population in test group. The test is t-test for continuous metric. I can d …
koch_kir's user avatar
  • 117