Kurtosis Formula. Mathematically it is represented as kurtosis n σni yi y 4 σni yi y 2 2. We could then classify a distribution from its excess kurtosis.
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Platykurtic distributions have negative excess kurtosis. Setting a2 2m 3 makes the variance equal to unity. Leptokurtic distributions have positive excess kurtosis.
Proc means data test kurtosis vardef n.
The kurtosis can also be computed as a4 the average value of z4 where zis the familiarz score z x x σ. Leptokurtic distributions have positive excess kurtosis. Proc means data test kurtosis vardef n. Formula 1 sas.
