Plus or minus three standard deviations, that's the one! I remember learning that in my quality control class. Control charts need to have limits that are wide enough to capture normal variation, but not so wide that they miss important changes in the process. Three sigma is the sweet spot.
Okay, let me think this through step-by-step. Control charts are used to monitor process variability, and the control limits are set to capture a certain percentage of the data. I believe the most common practice is to use three standard deviations, which would capture around 99.7% of the data. I'll go with that.
Hmm, I'm a bit unsure about this one. I know control charts have something to do with standard deviations, but I can't remember the exact number they use. I'll have to think this through carefully.
I'm pretty sure the accepted practice is to use plus or minus three standard deviations around the population mean to establish the control limits. That's the standard rule I've learned.
Hmm, I'm a bit confused on this one. I need to double-check the details of the scenario and make sure I fully understand the ethical restrictions for CFEs in this type of situation.
D) Plus or minus four standard deviations? Sounds like the acceptable range for my sleep schedule during exam week. I'm going with C, but I might need those extra deviations later.
E) Plus or minus five standard deviations? Wow, might as well just ditch the control chart and let the process run wild! What, are we trying to catch Godzilla here?
Aha! C) Plus or minus three standard deviations, of course. Anything less and it would be too narrow, anything more and it would be overkill. Nailed it!
Mee
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