Mean, variance and standard deviation for any data set.
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We compute the mean, then the sum of squared deviations. Population variance divides by n; sample variance divides by n−1 (Bessel’s correction). Standard deviation is the square root of variance.
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Sample SD divides by n−1 (for a sample); population SD divides by n (for the entire group).
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The average squared deviation from the mean; standard deviation is its square root.
Bessel’s correction reduces bias when estimating population variance from a sample.
Yes — both are supported.