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

# StandardDeviation

 StandardDeviation[list]gives the sample standard deviation of the elements in list. StandardDeviation[dist]gives the standard deviation of the symbolic distribution dist.
Standard deviation of a list of numbers:
Standard deviation of elements in each column:
Standard deviation of a symbolic lognormal distribution:
Standard deviation of a list of numbers:
 Out[1]=

Standard deviation of elements in each column:
 Out[1]=

Standard deviation of a symbolic lognormal distribution:
 Out[1]=
 Scope   (6)
Exact numeric input:
Numerical approximation:
Standard deviation 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:
 Applications   (1)
Transform data to have mean 0 and unit variance:
The square of StandardDeviation is Variance:
StandardDeviation is a scaled Norm of deviations from the Mean:
StandardDeviation is the square root of a scaled CentralMoment:
StandardDeviation is a scaled RootMeanSquare of the deviations:
StandardDeviation is the square root of a scaled Mean of squared deviations:
StandardDeviation squared is less than MeanDeviation if all absolute deviations are less than 1:
StandardDeviation squared is greater than MeanDeviation if all absolute deviations are greater than 1:
StandardDeviation of a random variable as the square root of Variance: