Rules for Skewed Data
Lack of Symmetry Skewness is the lack of symmetry (lack of normality) in a probability distribution. The skewness is usually quantified by the index as given below $$s = \frac{\mu_3}{\mu_2^{3/2}}$$ where $\mu_2$ and $\mu_3$ are the second and third moments about the mean. This index formula described above takes the …