Types Of Kurtosis In Statistics. What kurtosis tells us. This means there are more chances of the presence of outliers.
Kurtosis is measured by moments and is given by the following formula formula. Rather it means the distribution produces fewer and less extreme outliers than does the normal distribution. High kurtosis in a data set is an indicator that data has heavy tails or outliers.
If the kurtosis of data falls close to zero or equal to zero it is referred to as mesokurtic.
Leptokurtic distributions have positive excess kurtosis. Types of kurtosis 1 mesokurtic. More values in the distribution tails and more values close to the mean i e. Leptokurtic distributions have positive excess kurtosis.
