a distribution of the sums of independent squared differences between the observed scores in a data set and the expected score for the set. If a random sample is repeatedly drawn from a normal population and measured on some variable and the obtained scores transformed via
standardization, multiplied by themselves, and then added, the result will be a chi-square distribution with
degrees of freedom equal to the size of the samples drawn.