A statistical anomaly is an observation that deviates significantly from expected patterns within a dataset. Used by data scientists and researchers, it helps detect fraud, system errors, or rare events. Businesses, healthcare providers, and cybersecurity teams benefit by identifying irregularities that signal risks, opportunities, or process improvements, enhancing decision-making accuracy.
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