A quality control simulation generated a sampling distribution for the median absolute deviation (MAD) from 100 samples of size 6. An observed sample MAD of $$0.06$$ yielded a p-value of approximately 0.03. If the observed sample MAD had been $$0.02$$ instead, how would the p-value have changed?
The p-value would be much higher, suggesting that such a low MAD is well within the expected range and would not trigger recalibration.
The p-value would decrease dramatically, indicating stronger evidence for recalibration.
The p-value would remain approximately 0.03 since the simulation sample size is fixed.
The p-value would become irrelevant because a lower MAD does not affect the recalibration decision in this protocol.
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