Kurtosis
Kurtosis[list]
gives the coefficient of kurtosis for the elements in list.
Kurtosis[dist]
gives the coefficient of kurtosis for the distribution dist.
Details

- Kurtosis measures the concentration of data around the peak and in the tails versus the concentration in the flanks.
- A normal distribution has kurtosis
equal to 3. In comparing shapes with normal we have:
-
more flat than normal, platykurtic like normal, mesokurtic more peaked than normal, leptokurtic - Kurtosis handles both numerical and symbolic data.
- Kurtosis[{{x1,y1,…},{x2,y2,…},…}] gives {Kurtosis[{x1,x2,…}],Kurtosis[{y1,y2,…}],…}.
- Kurtosis[…] is equivalent to CentralMoment[…,4]/CentralMoment[…,2]2.
Introduced in 2007
(6.0)