How do you determine the sample size for an A/B test, and what factors do you consider? How do you interpret the results of an A/B test, and what factors do you consider when deciding whether to implement the changes?

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Anonymous · Accepted Answer

Sample size is based on a few factors - type 1 error rate threshold, type 2
error rate threshold and effect size. Based on these factors, I will compute the
sample size that is needed to detect the effect from the experiment. I will
check if all the experiment parameters are satisfied, the sample ratio is along
expected lines and all the guardrail metrics are as expected. Then, I'll conduct
a statistical test to see if the change is statistically significant. I will
also evaluate if the change is practically significant for the costs incurred to
implement this. Also, I will check if the effect size is seen across user groups
or is restricted to specific set of users.

How do you determine the sample size for an A/B test, and what factors do you consider? How do you interpret the results of an A/B test, and what factors do you consider when deciding whether to implement the changes?

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