I'm pretty confident that the answer is A - time and cost of experiments. Fractional factorial designs are all about reducing the number of experimental runs, which in turn reduces the overall time and cost.
I'm a bit confused here. Is it the number of people involved, the number of data measurement points, or the output summary that is reduced in fractional factorial designs? I'll have to think this through carefully.
Hmm, this seems straightforward. Fractional factorial designs are used to reduce the time and cost of experiments, since the number of runs is lowered.
Okay, I've got it. Fractional factorial designs are used to reduce the time and cost of experiments, since the number of runs has been lowered. That's the key point here.
Mike
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