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Data & Analytics · Advanced

Statistical Power

The probability that a test correctly rejects a false null hypothesis (1 - β); 80% is a common target.

Definition

Power increases with larger samples, larger effects, lower variability and higher α. Power analysis determines the sample size needed before running an experiment.

Exam tip

An underpowered A/B test often 'finds nothing' even when a real effect exists.

Related terms