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Calculates how outlier-prone the distribution is.
=0 has outlier character similar to normal.
<0 the lower the flatter the more light-tailed the distribution is.
>0 the higher the Kurtosis value is the more heavy-tailed the distribution is.
What can cause light-tailed/heavy-tailed data
Light-tailed: The data set is only a part of all the data and all the data outside the tolerance borders is filtered.
Heavy-tailed: A mix of more distributions.
How statistically deal with light-tailed/heavy-tailed data
See What to do with not normally distributed data
n = n