Explain Skewness And Kurtosis With Diagrams. It is also called the right-skewed distribution. For a unimodal distribution negative skew commonly indicates that the tail is on the left side of the distribution and positive skew indicates that the tail is on the right.
There are two types of Skewness. The skewness value can be positive zero negative or undefined. Skewness is a measure of the symmetry in a distribution.
It is the degree of distortion from the symmetrical bell curve or the normal distribution.
For a unimodal distribution negative skew commonly indicates that the tail is on the left side of the distribution and positive skew indicates that the tail is on the right. Whereas skewness measures symmetry in a distribution kurtosis measures the heaviness of the tails or the peakedness. A positive excess kurtosis indicates a leptokurtic distribution. It indicates the extent to which the values of the variable fall above or below the mean and manifests itself as a fat tail.
