Skewness. This is surely going to modify the shape of the distribution distort and that s when we need a measure like skewness to capture it. A normal distribution is without any skewness as it is symmetrical on both sides.
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Skewness is a descriptive statistic that can be used in conjunction with the histogram and the normal quantile plot to characterize the data or distribution. Skewness is a measure of asymmetry or distortion of symmetric distribution. The measure of how asymmetric a distribution can be is called skewness.
Skewness indicates the direction and relative magnitude of a distribution s deviation from the normal distribution.
The mean median and mode are all measures of the center of a set of data. A distribution or data set is symmetric if it looks the same to the left and right of the center point. This is surely going to modify the shape of the distribution distort and that s when we need a measure like skewness to capture it. The measure of how asymmetric a distribution can be is called skewness.
