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Skewness

Skewness

Skewness is a measure of the asymmetry of a probability distribution around its mean. It tells us whether the tail on the left side of the probability density function (PDF) is longer or shorter than the right side.
Positively skewed: - A distribution is positively skewed if the tail on the right side of the PDF is longer or fatter than the left side. The mean is greater than the median. The formula for positively skewed is: skewness = (3 * (mean - median)) / standard deviation
Negatively skewed: - A distribution is negatively skewed if the tail on the left side of the PDF is longer or fatter than the right side. The mean is less than the median. The formula for negatively skewed is: skewness = (3 * (median - mean)) / standard deviation
Skewness can be calculated for any continuous probability distribution and it can take any value between negative infinity and positive infinity. However, a normal distribution has a skewness value of zero.
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