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Figure 3.2 Framework for Experimental Design
Your assumed model is an initial model that ideally contains all the effects that you want to estimate. In some platforms, you can explicitly build the model of interest. In others, the model is implicit in the choices that you make. For example, in the Screening Design platform, you might select a model with a given resolution. The resolution of the design determines which effects are confounded. Confounding of effects potentially leads to ambiguity about which effect is truly active.
The example in The Coffee Strength Experiment explicitly illustrates the steps in the DOE workflow process. It also shows how to use a data table script to analyze your experimental data. Many examples in the Design of Experiments Guide illustrate both the workflow that supports a good design and the analysis of the experimental data from the study.

Help created on 3/19/2020