Negative Kurtosis Graph. A distribution with fewer values in the tails than a gaussian distribution has a negative kurtosis. Kurtosis quantifies whether the tails of the data distribution matches the gaussian distribution.
The peak is lower and broader. A distribution with fewer values in the tails than a gaussian distribution has a negative kurtosis. Notice that we define the excess kurtosis as kurtosis minus 3.
A gaussian distribution has a kurtosis of 0.
The solid line shows the normal distribution and the dotted line shows a distribution with a positive kurtosis value. The peak is lower and broader. Notice that we define the excess kurtosis as kurtosis minus 3. A distribution with a negative kurtosis value indicates that the distribution has lighter tails than the normal distribution.
