Conversion Rate Uplift
The change in conversion rate caused by a variant, on two scales that differ by a factor of the baseline. The relative figure needs its own interval formula.
The change in conversion rate caused by a variant, on two scales that differ by a factor of the baseline. The relative figure needs its own interval formula.
The unobservable rate behind the number in the dashboard. What defines it, and why the textbook interval around it is not as safe as it looks.
Standard error describes sampling variability; a margin of error also uses a confidence level and reference distribution. A normal 95% interval uses about 1.96 times the SE.
The population average an experiment is trying to learn: fixed, unobserved, and defined only once the population itself is.
Interval width depends on the model and horizon. Coverage reflects the uncertainty represented in the model, not every possible change in the world.
Zero failures do not imply a zero failure rate. The rule of three gives an approximate upper bound, while the exact formula shows how the approximation behaves at small sample sizes.
Machine learning borrows its estimators from statistics and too often leaves the uncertainty behind.