Goals of Experimental Design
DOE refers to the systematic process of planning the variation among factors so that suitable data can be collected for analysis in such a way that an investigator is able to generalize from their experiment. In other words, one major objective in the statistical design of experiments is to ensure that our experiments yield useful data that can be analyzed to draw valid conclusions and make better decisions.
Hoerl and Snee (2002), referring to industrial experimentation, identify three experimental environments, suggesting three broad goals for experimentation. Each environment is characterized by its own fundamental question, although any particular experiment might be a hybrid of the three categories.
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