This is documentation for Mathematica 8, which was
based on an earlier version of the Wolfram Language.

Variance

 Variance[list]gives the sample variance of the elements in list. Variance[dist]gives the variance of the symbolic distribution dist.
• Variance[list] gives the unbiased estimate of variance.
• Variance handles both numerical and symbolic data.
Variance of a list of numbers:
Variance of elements in each column:
Variance of a symbolic lognormal distribution:
Variance of a list of numbers:
 Out[1]=

Variance of elements in each column:
 Out[1]=

Variance of a symbolic lognormal distribution:
 Out[1]=
 Scope   (6)
Exact numeric input:
Numerical approximation:
Variance of symbolic values:
Mixed numeric and symbolic data:
Exact numeric data:
Arbitrary-precision data:
Compute results for a large vector or matrix:
Compute results for a SparseArray:
The square root of Variance is StandardDeviation:
Variance is a scaled squared Norm of deviations from the Mean:
Variance is a scaled CentralMoment:
The square root of Variance is a scaled RootMeanSquare of the deviations:
Variance is a scaled Mean of squared deviations from the Mean:
Variance as a scaled SquaredEuclideanDistance from the Mean:
Variance is less than MeanDeviation if all absolute deviations are less than 1:
Variance is greater than MeanDeviation if all absolute deviations are greater than 1:
Variance of a random variable as an ExpectedValue: