Factorial designs interactions effects plots

Calculate the grand average (MEAN), the two classical main effects (A and B), and the single two-factor interaction (AB) for the two-factor two-level full factorial design shown in the square plot in Section 14.1. (Assume coded factor levels of -1 and +1). 

The factor-effect plots for the Taguchi L9 fractional factorial design of experiments are given in Figure 8.13 depicting the individual and interaction factor effects on the measured value of G02-1 thin fihn resistivity. 

Thus, for a control medium containing, for example, 2% glucose and 1% soya flour, example a. above would test 1, 2, and 4% glucose each at 0.5, 1, and 2% soya flour, i.e, a total of nine treatments. Determination of titer in each test medium allows response surfaces to be plotted from which the effects of high and low levels of each factor and their interactions can be readily identified As with the fractional factorial experiments described above, these experiments are not designed for absolute optimization but will rapidly identify trends leading to increased titer... 

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