The variance of a set of data is the mean squared deviation from the Arithmetic Mean of the same set of data. Because this calculation sums the squared deviations, we can conclude two things: |
The variance of a real-valued random variable is its second central moment. So the variance of a set of data is the mean squared deviation from the arithmetic mean of the same set of data. Because this calculation sums the squared deviations, we can conclude two things: |
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:see also standard deviation back to statistical dispersion |
See also: standard deviation, mean, skewness, kurtosis, statistical dispersion |