Standardized moment

In probability theory and statistics, the kth standardized moment of a probability distribution is &mu;k/&sigma;k, where &mu;k is the kth moment about the mean and &sigma; is the standard deviation.


 * The first standardized moment is zero, because the first moment about the mean is zero
 * The second standardized moment is one, because the second moment about the mean is equal to the variance (the square of the standard deviation)
 * The third standardized moment is used to define skewness.
 * The fourth standardized moment is used to define kurtosis.