This is documentation for Mathematica 8, which was
based on an earlier version of the Wolfram Language.

# 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.
• 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 for a list of values:
Skewness for a symbolic distribution:
Skewness for a list of values:
 Out[1]=

Skewness for a symbolic distribution:
 Out[1]=
 Scope   (5)
Compute results at machine precision:
Obtain results at any precision:
Skewness of a matrix will compute column-wise:
Compute results for a large vector or matrix:
Obtain results for continuous and discrete distributions:
Compute results for a SparseArray:
Skewness for data can be computed from CentralMoment:
Skewness for a distribution can be computed from CentralMoment:
Symmetric distributions have 0 skewness:
Distributions with longer tails to the right have positive skewness:
Distributions with longer tails to the left have negative skewness:
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