We see in this unit thatthe descriptive statisticsfor a distribution can be described using a number of powerful factors that vary in their intent and level of insight. In particular, measures of variation can involve both low and high order analysis.

Discuss how you would explain to someone why the skewness of a distribution can be negative, but the variance and kurtosis of the same distribution canonly be positive. Is the distinction inherent in the concepts themselves, or is it just a by-product of the way they are calculated?