Skewness is a measure of the degree of asymmetry of a distribution. If the left tail (tail at small end of the distribution) is more pronounced than the right tail (tail at the large end of the distribution), the function is said to have negative skewness. If the reverse is true, it has positive skewness. If the two are equal, it has zero skewness. Several types of skewness are defined, the terminology and notation of which are unfortunately rather confusing.

Bowley skewness | gamma statistic | graph skewness | h-statistic | kurtosis | mean | momental skewness | standard deviation