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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.
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answers
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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 …
5
votes
2
answers
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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 …