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Interpreting a Simulation-Based P-Value

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The table below shows the results of a simulation of 100 samples designed to assess process variability. A new sample from the process has a median absolute deviation (MAD) of 0.060.06. Based on the simulation results, which of the following is the most appropriate conclusion?

Measure Frequency (out of 100 samples)
MAD ≥0.06\ge 0.06 3
MAD <0.06< 0.06 97
A

The estimated p-value is 0.030.03, which is less than 0.050.05, providing sufficient evidence to recalibrate the machinery.

B

The simulation implies that although only 3% of samples have a MAD of 0.060.06 or higher, this is too small to affect machinery calibration.

C

A p-value of 0.030.03 is too high to warrant recalibration since the typical significance level is 1%.

D

The low MAD value indicates that the process is stable, so the p-value is not used to determine recalibration.

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