Professional statistical tools for experiment design
Two-sample t-test power analysis for A/B tests
Test independence between categorical variables
Reduce sample size by 30-50% using pre-experiment data
Estimate trial success probability given interim data
Interim analyses with stopping boundaries (R-powered)
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