Define Skewness In Statistics. Skewness in statistics represents an imbalance and an asymmetry from the mean of a data distribution. Distributions can exhibit right positive skewness or left negative skewness to varying degrees.
The distribution on the left is symmetrically distributed it is not skewed to either side. It is something that we simply can t run away from. Compare the data distributions below which we also examined briefly in a previous lesson.
The distribution on the right on the other hand is asymmetric it is skewed to the left.
The skewness value can be positive zero negative or undefined. The situation reverses itself when we deal with data skewed to the left. The skewness is a measure of the asymmetry of the probability distribution assuming a unimodal distribution and is given by the third standardized moment. Skewness is a measure of the asymmetry of a data distribution.
