Hypothesis Testing
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A formal procedure for deciding between two competing hypotheses (null and alternative) based on sample data. Tests include t-tests, chi-squared tests, and ANOVA. Controls the probability of false positives (Type I error) via significance level alpha. Fundamental to A/B testing in software engineering.