Dispersion measures how data points spread around an average, revealing variability in a dataset. Used in finance, science, and quality control, it helps assess risk, reliability, and consistency. Investors, researchers, and engineers benefit by identifying outliers, making informed decisions, and improving processes through metrics like range, variance, or standard deviation.
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