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Noise & Degrees of Control
Our reading this week describes the use of inner and outer array experimental designs. These layering constructs have advantages (and possible disadvantages) in any circumstances where they might be used in planned experimentation. Specifically, however, Taguchi uses the outer array of these experiments to focus on noise factors, targeting a reduction in variation (or maximization of signal-to-noise ratio). Our text notes that this approach requires the experimenter to know which variables are control, and which are noise, at the time the experiment is designed – something that isn’t always possible.
Discuss how you might approach an experimental design in a situation where you lack confidence in which variables should be treated as control and which variables can be treated as noise. To what extent might you alter your approach based on the number of variables being discussed, say 5 versus 10? How does the concept of Degree of Control enter into your thinking?
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