Variability refers to the extent to which data points in a dataset differ from each other and from the central value. It is a key concept in understanding data distribution, as it helps identify how spread out or clustered the data points are around measures like the mean or median. High variability indicates a wide spread of values, while low variability suggests that the data points are closer to the central value.
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