**3.8****
****Shape** (.NET, C#, CSharp, VB, Visual Basic, F#)

The static Skewness()
method on class **StatsFunctions**
computes the skewness of the elements in a
data set. Skewness is the degree of asymmetry of a distribution. A distribution
is skewed if one of its tails is longer than the other. Thus:

Code Example – C#

double skewness = StatsFunctions.Skewness( data );

By default, Skewness()
uses a biased estimator of the standard deviation (Section 3.7). Alternatively, you can specify
the unbiased standard deviation using a value from the **BiasType** enumeration:

Code Example – C#

double skewness = StatsFunctions.Skewness( data, BiasType.Unbiased );

**NOTE—****StatsSettings.Bias
specifies the default BiasType.**

Kurtosis() calculates
the kurtosis of the elements in a
data set. Kurtosis is a measure of the degree of peakedness of a distribution.
Again, a biased estimator of the standard deviation is used by default—you
can specify the unbiased standard deviation using a value from the **BiasType** enumeration.

Finally, CentralMoment()
returns the moment about the mean of a data set specified by a positive
integer *order*. The first central moment is equal to zero.
The second central moment is the variance. The third central moment is
the skewness. The fourth central moment is the kurtosis.