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A/B testing (Practical Statistics ch 3) — compare two variants’ conversion rates with a two-proportion z-test and a confidence interval on the lift. The honest output is “B beat A by 2.1pp [0.4pp, 3.8pp], p = 0.01” — effect size with uncertainty, not a bare “B wins”. Reuses the Normal CDF/quantile.
Structs§
- AbResult
- Result of comparing two conversion rates.
Functions§
- ab_test
- Two-proportion z-test.
conv_*are conversions (successes),n_*the totals.alphasets the CI/p-value (two-sided).Noneon invalid counts.