A scientific method where participants are randomly assigned to either a treatment or control group, randomized controlled experiments eliminate bias to test cause-and-effect relationships. Used in medicine, tech, and social sciences, they evaluate drug efficacy, A/B test features, or policy impacts. Researchers, data analysts, and decision-makers benefit from reliable, actionable insights that drive evidence-based outcomes.
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