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Built-in
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Symbol
Basic Statistics
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Tutorials »
|
Variance
Mean
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MeanDeviation
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Standardize
StandardDeviationFilter
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Descriptive Statistics
Statistics
New in 6.0: Statistics
More About »
StandardDeviation
StandardDeviation
[
list
]
gives the sample standard deviation of the elements in
list
.
StandardDeviation
[
dist
]
gives the standard deviation of the symbolic distribution
dist
.
MORE INFORMATION
StandardDeviation
[
list
]
is equivalent to
Sqrt
[
Variance
[
list
]]
.
StandardDeviation
handles both numerical and symbolic data.
StandardDeviation
[{{
x
1
,
y
1
,
...
}, {
x
2
,
y
2
,
...
},
...
}]
gives
{StandardDeviation[{
x
1
,
x
2
,
...
}], StandardDeviation[{
y
1
,
y
2
,
...
}]}
.
StandardDeviation
works with
SparseArray
objects.
EXAMPLES
CLOSE ALL
Basic Examples
(3)
Standard deviation of a list of numbers:
In[1]:=
Out[1]=
Standard deviation of elements in each column:
In[1]:=
Out[1]=
Standard deviation of a symbolic lognormal distribution:
In[1]:=
Out[1]=
Scope
(6)
Generalizations & Extensions
(1)
Applications
(1)
Properties & Relations
(9)
SEE ALSO
Variance
Mean
Quantile
MeanDeviation
MedianDeviation
Kurtosis
CentralMoment
Covariance
Standardize
StandardDeviationFilter
TUTORIALS
Basic Statistics
Discrete Distributions
Continuous Distributions
MORE ABOUT
Descriptive Statistics
Statistics
New in 6.0: Statistics
RELATED LINKS
Demonstrations with StandardDeviation
(
Wolfram Demonstrations Project
)
New in 5 | Last modified in 6