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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:
In[1]:=
Click for copyable input
Out[1]=
 
Standard deviation of elements in each column:
In[1]:=
Click for copyable input
Out[1]=
 
Standard deviation of a symbolic lognormal distribution:
In[1]:=
Click for copyable input
Out[1]=
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:
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:
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