What is “difference” in an experiment?
The gap between treatment and control. Absolute: T − C. Relative: (T − C)/C.
What is variance?
Measure of how spread out individual outcomes are. High variance = noisy experiment.
What is Standard Error (SE)?
Uncertainty of the mean estimate. SE = sqrt(variance / sample size).
What determines SE?
Higher variance → larger SE. Larger sample → smaller SE.
What is a confidence interval (CI)?
A range that likely contains the true effect. CI = estimate ± (z × SE).
What does CI width tell you?
Wide CI = noisy, underpowered. Narrow CI = precise, well-powered.
What is a p-value?
Probability of seeing an effect this large if true effect were zero. Low p = strong evidence effect is real.
What is the relationship between CI and p-value?
If CI crosses 0 → p > 0.05. If CI excludes 0 → p < 0.05.
What is statistical power?
Ability to detect a true effect. Higher power from lower variance & larger sample.
How does CUPED improve power?
Reduces variance → lowers SE → tightens CI → easier to detect effects.