Skewness And Kurtosis Difference. Kurtosis on the other hand measures the bulge peak of a distribution curve. Looking at s as representing a distribution the skewness of s is a measure of symmetry while kurtosis is a measure of peakedness of the data in s.
Skewness basically measures the asymmetry in data. The characteristic of a frequency distribution that ascertains its symmetry about the mean is called skewness. The kurtosis is positive with a value greater than 3.
The kurtosis is negative with a value greater than 3.
Skewness and kurtosis in statistics. Whereas skewness measures symmetry in a distribution kurtosis measures the heaviness of the tails or the peakedness. Skewness is a measure of symmetry or more precisely the lack of symmetry. Kurtosis quantifies the distribution s tailedness and conveys the corresponding phenomenon s tendency to produce values that are far from the mean.
