Next chapter: Prediction

The formulas for the degrees of freedom for each effect are summarized below:

- df Age = k - 1 = 2 - 1 = 1
- df error(Age) = N - k = 8 - 2 = 6
- df Trials = t - 1 = 5 - 1 = 4
- df Age x Trials = df Age x df Trials = 1 x 4 = 4
- df error(Trials and Age x Trials)= df error (Age) x df Trials = 6 x 4 = 24
- df total = Nt - 1 = 8 x 5 - 1 = 39

Computational formulas for the sums of squares will not be given since it is assumed that complex analyses will not be done by hand.

As always, a mean square is computed by dividing the sum of squares by the degrees of freedom.

The F ratio for each effect is the mean square for the test divided by the mean square error for the effect.

Next chapter: Prediction