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Skewness is a measure of the extent to which the probability distribution of a random variable lies more to one side of the mean, as opposed to it being exactly symmetrical.

If μ and s are the mean and standard deviation of a random variable X, then

Skew(X) = Expected value of [(X - μ)/s]3

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Skewness is a measure of the asymmetry in a distribution. In a non-symmetrical distribution, skewness can be calculated using a formula that considers the deviation of each data point from the mean. A positive skewness indicates a longer tail on the right side of the distribution, while a negative skewness indicates a longer tail on the left side.

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1y ago
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Q: What is skewness how would you find it in a non symmetrical distribution?
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