Useful to assist in ANOVA by splitting factor levels and showing data points and samples

Factorial design - all cells represent all treatment combinations

Balanced design - each level of one factor is measured against each level of other factor

Gives 3 F values:

- Effect of one factor
- Effect of other factor
- Effect of interactions between two factors

The values are obtained for 5 sources of variation - *n* scores themselves, the *a* cell means, the sample mean (`Y), the *r *row means (`R), the *c* column means (`C) and the single global mean (Ḡ)

Response = Total explained **: ∑(`Y - Ḡ)2 + Unexplained **: ∑(`Y -`Y)2

## Comments

No comments have yet been made