The amount of asymmetry of a distribution. One measure of skewness is the coefficient of skewness, which is defined to be equal to μ3/(μ2)3/2, where μ2 and μ3 are the second and third moments about the mean. This measure is zero if the distribution is symmetrical about the mean. If the distribution has a long tail to the left, as in the top figure, it is said to be skewed to the left and to have negative skewness, because the coefficient of skewness is negative. If the distribution has a long tail to the right, as in the second figure, it is said to be skewed to the right and to have positive skewness, because the coefficient of skewness is positive. A skew distribution is one that is skewed to the left or skewed to the right.