Description
Returns a row vector containing the kurtosis of each column of X,
where X is a real, or double-precision matrix.
The return value has the same type and column dimension as x.

The kurtosis of the normal distribution is 3. Distributions that are more outlier prone than
the normal distribution have a kurtosis value greater than 3, distributions that
are less outlier prone have a kurtosis value less than 3

Example
X = normrnd(0., 1., 10000, 3)
kurtosis(X)
returns
[ 2.92882 , 3.06149 , 3.02654 ]