Data Skewness: Identification, Calculation, Interpretation

Data Skewness: Identification, Calculation, Interpretation

Skewness describes the asymmetry of the probability distribution of a real-valued random variable about its mean. It indicates the extent to which data points are concentrated more on one side of the mean than the other. Understanding skewness is vital for selecting appropriate statistical methods and interpreting data accurately, as many statistical tests assume a normal (symmetrical) distribution.