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Kurtosis

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Calculates how outlier-prone the distribution is.

Interpretation

=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.

Data file

What can cause light-tailed/heavy-tailed data

  1. Light-tailed: The data set is only a part of all the data and all the data outside the tolerance borders is filtered.
  2. 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.

Formula

formula

Legend

n = n
formula=Mean

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