Fractional Factorial Designs are used to analyze factors to model the output as a function of inputs if Hypothesis Testing in the Analyze Phase was inadequate to sufficiently narrow the factors that significantly impact the output(s).
Wait, is this a trick question? I'm pretty sure it's False, since hypothesis testing should be sufficient to identify the key factors in the Analyze phase.
I think the answer is True. Fractional factorial designs are used to efficiently identify the most important factors when there are many potential inputs to consider.
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