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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:
In[1]:=
Click for copyable input
Out[1]=
 
Skewness for a symbolic distribution:
In[1]:=
Click for copyable input
Out[1]=
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:
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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