The calculation of the effects from a 22 factorial design of experiment is described with examples in Video 2 (both Video 1 and are the same Video 2).
Video 2. Introduction to 2K Factorial Design of Experiments DOE and Formula Equation Explained with Examples.
The calculation of the main effect A was described in the Module 5 Factorial Design of Experiments. The main effect of A is calculated by subtracting the average responses at the low-level from the average responses at the high-level.
Therefore, the main effect of the temperature factor can be calculated as in Equation 2.
Equation 2
Using the treatment combination notations, the Equation 2 can be written as in Equation 3, and therefore, the Equation 4.
Equation 3
Equation 4
Similarly, the equations for the main effect of B and the interaction effect of AB can be developed for the 22 design of experiments.
Equation 5
Equation 6
Using the -1/+1 coding system, the total effect can also be calculated by simply multiplying the factor A column with the treatment combination column (Table 1), which results in the Equation 7. Total effect of
Equation 7
As there are two replications for A, the average effect is calculated as in Equation 8.
Equation 8
Similarly, the equations for the main effect of B and the interaction effect of AB can be developed as in Equation 5 and Equation 6.
Another way of developing the equation for the main effect of factor A is subtracting all treatment combinations without “a” in them from all the treatment combinations that contain “a” in them. Think about all the experimental units that received a fertilizer as compared to those did not receive the fertilizer. Therefore, the main effect of
Similarly, the equations for the main effect of B and the interaction effect of AB can be developed as in Equation 5 and Equation 6.