Full Factorial Designs (2 levels)
- What is a full factorial design?
- Advantages and disadvantages of full factorials
- Estimating effects and the meaning of interaction
- Orthogonality and coding of design matrices
- Graphical analysis of results (marginal means plots, interaction plots, Pareto of effects, surface/contour plots)
- Statistical analysis of results (regression, p-values, R2 and Adjusted R2)
- Prediction and optimization
- Examples of Full Factorial designs and analysis using DOE Pro software
2- Level Designs Full Factorial
