Skewness

Définition

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Skewness

Skewness is a quantifiable measure of how distorted a data sample is from the normal distribution. In normal distribution, the data is represented graphically in a bell-shaped curve, where the mean (average) and mode (maximum value in the data set) are equal.

If the mean of the data distribution is less than the mode, more of the graphed points will be to the left of the mode than the right, which is called a “negative skew.”

If the mean of the data distribution is more than the mode, more of the graphed points will be to the right of the mode than the left, which is called a “negative skew.”

[Skewness Source : DeepAI.org ]