Types Of Kurtosis In Statistics. This distribution has a kurtosis statistic similar to that of the normal distribution meaning the extreme value characteristic of the. Kurtosis is a statistical measure that defines how heavily the tails of a distribution differ from the tails of a normal distribution.
The kurtosis of any univariate normal distribution is 3. Rather it means the distribution produces fewer and less extreme outliers than does the normal distribution. Distributions that are moderate in breadth and curves with a medium peaked height.
Low kurtosis in a data set is an indicator that data has light tails or lack of outliers.
Distributions that are moderate in breadth and curves with a medium peaked height. If the curve of a distribution is more outlier prone or heavier tailed than a normal or mesokurtic curve then it is referred to as a leptokurtic curve. If the kurtosis of data falls close to zero or equal to zero it is referred to as mesokurtic. There are 3 types of kurtosis as far as statistics is concerned mesokurtic leptokurtic platykurtic.
