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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:
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Variance of elements in each column:
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Variance of a symbolic lognormal distribution:
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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:
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:
New in 5 | Last modified in 6