Appropriate when the interaction is important between the two factors, Appropriate when the two factors are applied in the large plots; one treatment applied in horizontal position and other in vertical position Factor A and Factor B is randomized independent of the other factor: Both randomized in each block ERROR divided into three components: Error a, Error b, Error ab ~ Number of treatments determined in the Factor A: treatments randomized in one direction ~ Number of treatments determined in the Factor B: treatments randomized in the other direction than Factor A ~ Above process repeated in the other blocks: number of levels of Factor A and number of levels of Factor B, and the replications should be determined. [Square plots are recommended (to reduce variability within the blocks)] WE HAVE: a = levels of Factor A b = levels of Factor B r = number of replications GT = Grand Total Mean = GT/abr DEGREES OF FREEDOM: Block = r-1 Factor A = a-1, Factor B = b-1, Error (a) =
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