Skewness. A normal distribution is without any skewness as it is symmetrical on both sides. If a distribution is not symmetrical or normal then it is skewed i e it is either the frequency distribution skewed to the left side or to the right side.
Skewness refers to distortion or asymmetry in a symmetrical bell curve or normal distribution in a set of data. The mean median and mode are all measures of the center of a set of data. Skewness describes how much statistical data distribution is asymmetrical from the normal distribution where distribution is equally divided on each side.
Skewness indicates the direction and relative magnitude of a distribution s deviation from the normal distribution.
A distribution or data set is symmetric if it looks the same to the left and right of the center point. A distribution or data set is symmetric if it looks the same to the left and right of the center point. Skewness quick introduction examples formulas by ruben geert van den berg under statistics a z skewness is a number that indicates to what extent a variable is asymmetrically distributed. If the curve is shifted to the left or to the right it is said to be skewed.
