n. the power to which the
expected value of a
random variable is raised. Thus, E(
xk) is the
kth moment of
x. The first moment is usually the
mean of a variable, the second moment refers to
variance, the third moment relates to
skewness, and the fourth moment concerns
kurtosis. Knowing each of these moments provides a complete picture of the
distribution for a set of scores: A researcher knows the center point of the data, how spread out the values are, whether they are lopsided, and whether they are peaked (
leptokurtic) or flat (
platykurtic).