Skewness. The measure of how asymmetric a distribution can be is called skewness. If the curve is shifted to the left or to the right it is said to be skewed.
The measure of how asymmetric a distribution can be is called skewness. 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.
Skewness describes how much statistical data distribution is asymmetrical from the normal distribution where distribution is equally divided on each side.
It is a symmetrical graph with all measures of central tendency in the middle. Skewness indicates the direction and relative magnitude of a distribution s deviation from the normal distribution. Skewness is a measure of symmetry or more precisely the lack of symmetry. It measures the deviation of the given distribution of a random variable from a symmetric distribution such as normal distribution.
