Negative Kurtosis Graph. The kurtosis can be derived from the following formula. Outliers stretch the horizontal axis of the histogram graph which makes the bulk of the data appear in a narrow skinny vertical range thereby giving the skinniness of a leptokurtic distribution.
For example data that follow a t distribution have a positive kurtosis value. A distribution with a negative kurtosis value indicates that the distribution has lighter tails than the normal distribution. The kurtosis can be derived from the following formula.
Notice that we define the excess kurtosis as kurtosis minus 3.
Outliers stretch the horizontal axis of the histogram graph which makes the bulk of the data appear in a narrow skinny vertical range thereby giving the skinniness of a leptokurtic distribution. Since this value is negative the curve representing the distribution is skewed to the left i e. Also skew p r 0 34. The solid line shows the normal distribution and the dotted line shows a distribution that has a positive kurtosis value.
