ABSTRACT
In order to understand ANOVA, it is useful to think of variance as the ratio of what is known as the ‘Sum of Squares’ to the ‘Degrees of Freedom’. We can see that 2 ( x — x) is the sum of squares of the n differences of x from the mean, x , where n is the sample size, and we also know that (n — 1) is the number of degrees of freedom when we obtain inferences for one sample of size n (see Section 9.7 and Section 10.10).
