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Mean
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Descriptive Statistics
New in 6.0: Data Handling & Data Sources
New in 6.0: Mathematics & Algorithms
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MeanDeviation
MeanDeviation
[
list
]
gives the mean absolute deviation from the mean of the elements in
list
.
MORE INFORMATION
For the list
{
x
1
,
x
2
,
...
,
x
n
}
, the mean deviation is given by
, where
is the mean of the list.
MeanDeviation
handles both numerical and symbolic data.
MeanDeviation
[{{
x
1
,
y
1
,
...
}, {
x
2
,
y
2
,
...
},
...
}]
gives
{MeanDeviation[{
x
1
,
x
2
,
...
}], MeanDeviation[{
y
1
,
y
2
,
...
},
...
]}
.
MeanDeviation
works with
SparseArray
objects.
EXAMPLES
CLOSE ALL
Basic Examples
(2)
MeanDeviation
of a list:
In[1]:=
Out[1]=
MeanDeviation
of columns of a matrix:
In[1]:=
Out[1]=
Scope
(3)
Generalizations & Extensions
(1)
Properties & Relations
(4)
Neat Examples
(1)
SEE ALSO
Mean
MedianDeviation
StandardDeviation
TUTORIALS
Descriptive Statistics
MORE ABOUT
Descriptive Statistics
New in 6.0: Data Handling & Data Sources
New in 6.0: Mathematics & Algorithms
New in 6.0: Numerical Data Handling
New in 6.0: Statistics
New in 6
© 2008 Wolfram Research, Inc.
, where 
is the mean of the list.
EXAMPLES
Basic Examples 
Scope 