Standard deviation measures how spread out numbers are in a dataset. A low value means data points cluster near the average, while a high value indicates wide variation. It helps investors assess risk, scientists evaluate experimental reliability, and quality control teams monitor consistency. Understanding this metric enables better decision-making by quantifying uncertainty and variability.
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