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New in 6.0: Mathematics & Algorithms
New in 6.0: Statistics
More About »
Variance
Variance
[
list
]
gives the statistical variance of the elements in
list
.
Variance
[
dist
]
gives the variance of the symbolic distribution
dist
.
MORE INFORMATION
Variance
[
list
]
gives the unbiased estimate of variance.
Variance
[
list
]
is equivalent to
Total
[(
list
-
Mean
[
list
])^2]/(
Length
[
list
]-1)
.
Variance
handles both numerical and symbolic data.
Variance
[{{
x
1
,
y
1
,
...
}, {
x
2
,
y
2
,
...
},
...
}]
gives
{Variance[{
x
1
,
x
2
,
...
}], Variance[{
y
1
,
y
2
,
...
}]}
.
Variance
works with
SparseArray
objects.
EXAMPLES
CLOSE ALL
Basic Examples
(3)
Variance of a list of numbers:
In[1]:=
Out[1]=
Variance of elements in each column:
In[1]:=
Out[1]=
Variance of a symbolic lognormal distribution:
In[1]:=
Out[1]=
Scope
(6)
Generalizations & Extensions
(1)
Properties & Relations
(9)
SEE ALSO
StandardDeviation
Covariance
Correlation
Mean
Quantile
MeanDeviation
MedianDeviation
Kurtosis
CentralMoment
ExpectedValue
TUTORIALS
Basic Statistics
Descriptive Statistics
Discrete Distributions
Continuous Distributions
MORE ABOUT
Descriptive Statistics
Math & Counting Operations on Lists
Numerical Data
Precollege Education
Statistical Distributions
Statistics
New in 6.0: Mathematics & Algorithms
New in 6.0: Statistics
New in 5 | Last modified in 6
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