A high standard deviation score indicates that the values in a dataset are widely spread out from the mean, signifying greater variability or dispersion among the data points. This means that individual data points tend to differ significantly from the average, suggesting less consistency and more unpredictability. In contrast, a low standard deviation indicates that the values are closely clustered around the mean. Understanding standard deviation helps in assessing the reliability and variability of data in various fields, including finance, research, and quality control.
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