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Statistics and A/B testing

Reading an experiment with SQL: lift, pooled rates, sample-ratio checks and significance from a critical-values table. Candidates who can write SQL often freeze here, which is exactly why it's worth practising.

New to this? Read the Reading an experiment readout chapter.

easyConversion rate per variantFree→easyUsers assigned to both variantsBasic→mediumAbsolute difference and relative liftFree→mediumCumulative conversion rate by dayBasic→mediumGuardrail metric regressionsBasic→mediumNovelty effect over four weeksFree→mediumSample ratio mismatchBasic→hardPooled standard error and z-scoreBasic→hardRequired sample sizeBasic→hardRevenue per user, before and after trimmingBasic→hardSignificance at 5%Basic→hardSimpson's paradox in an A/B testBasic→