Types Of Kurtosis In Statistics. If the kurtosis of data falls close to zero or equal to zero it is referred to as mesokurtic. This distribution has a kurtosis statistic similar to that of the normal distribution meaning the extreme value characteristic of the.
High kurtosis in a data set is an indicator that data has heavy tails or outliers. Fewer values in the tails and fewer values close. It indicates a lot of things maybe wrong data entry or other things.
Platykurtic distributions have negative excess kurtosis.
Distributions with kurtosis less than 3 are said to be platykurtic although this does not imply the distribution is flat topped as is sometimes stated. It is common to compare the kurtosis of a distribution to this value. Platykurtic distributions have negative excess kurtosis. Whenever the kurtosis is less.
