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Stephen Wolfram
SEARCH MATHEMATICA 8 DOCUMENTATION
THIS IS DOCUMENTATION FOR AN OBSOLETE PRODUCT.
SEE THE
DOCUMENTATION CENTER
FOR THE LATEST INFORMATION.
Mathematica
>
Descriptive Statistics
>
Built-in
Mathematica
Symbol
Descriptive Statistics
Discrete Distributions
Continuous Distributions
Tutorials »
|
Kurtosis
QuartileSkewness
CentralMoment
ExpectedValue
See Also »
|
Descriptive Statistics
Statistical Distributions
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
More About »
Skewness
Skewness
[
list
]
gives the coefficient of skewness for the elements in
list
.
Skewness
[
dist
]
gives the coefficient of skewness for the symbolic distribution
dist
.
MORE INFORMATION
Skewness
measures the amount of asymmetry in
list
.
A positive skewness indicates a distribution with a long right tail. A negative skewness indicates a distribution with a long left tail.
Skewness
handles both numerical and symbolic data.
Skewness
[{{
x
1
,
y
1
,
...
}, {
x
2
,
y
2
,
...
},
...
}]
gives
{Skewness[{
x
1
,
x
2
,
...
}], Skewness[{
y
1
,
y
2
,
...
}],
...
}
.
Skewness
works with
SparseArray
objects.
Skewness
[
list
]
is equivalent to
CentralMoment
[
list
, 3]/
CentralMoment
[
list
, 2]
3/2
.
EXAMPLES
CLOSE ALL
Basic Examples
(2)
Skewness
for a list of values:
In[1]:=
Out[1]=
Skewness
for a symbolic distribution:
In[1]:=
Out[1]=
Scope
(5)
Generalizations & Extensions
(1)
Properties & Relations
(5)
SEE ALSO
Kurtosis
QuartileSkewness
CentralMoment
ExpectedValue
TUTORIALS
Descriptive Statistics
Discrete Distributions
Continuous Distributions
MORE ABOUT
Descriptive Statistics
Statistical Distributions
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
© 2013 Wolfram Research, Inc.
EXAMPLES
Basic Examples 
Scope 