What is the reasoning behind setting the upper and lower control limits ± 30- from the mean? OA. We know that 99.73% of natural variation is contained within 30, and thus any data point outside of the limits is likely due to assignable variation OB. The limits of the Z table are set at ± 30% OC. 95.45% of the time, the sample averages will fall within 30- if the process has only natural variation OD. We know that 99.73% of assignable variation is contained within ± 30-, and thus any data point outside of the limits is likely due to natural variation +

MATLAB: An Introduction with Applications
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What is the reasoning behind setting the upper and lower control limits ± 30- from the mean?
O A. We know that 99.73% of natural variation is contained within ±30, and thus any data point outside of the limits is likely due to assignable variation
OB. The limits of the Z table are set at ± 30%
OC. 95.45% of the time, the sample averages will fall within ± 30- if the process has only natural variation
O D. We know that 99.73% of assignable variation is contained within ± 30, and thus any data point outside of the limits is likely due to natural variation
+
Transcribed Image Text:What is the reasoning behind setting the upper and lower control limits ± 30- from the mean? O A. We know that 99.73% of natural variation is contained within ±30, and thus any data point outside of the limits is likely due to assignable variation OB. The limits of the Z table are set at ± 30% OC. 95.45% of the time, the sample averages will fall within ± 30- if the process has only natural variation O D. We know that 99.73% of assignable variation is contained within ± 30, and thus any data point outside of the limits is likely due to natural variation +
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