inferre·that process isincontrae when .. C. Infervinge that a process is in cont
ID: 3267490 • Letter: I
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inferre·that process isincontrae when .. C. Infervinge that a process is in contral when it o, Inferring that a process is out of contral wh trferring .ta process is out of Cpleek it is atualy out of control. S, R-o,-s Assuming statistical control, approximately what proportion of the population will meet specifications of 50 4+A 3.07 0.35 051 D. 0.65 L Not listed 9. The figure shows an into consideration all the rules for the control chart for the average time (minutes) waiting for service in an outpatient cinic analysis of contral charts, the process appears to be under A. True B. False 10. A manufacturing company produces bolts. The mean length ofl bolts produced in the company is known to be 30 from the process and t with a standard deviation of 1.5 mm. If samoles of sige 5 are randomly selected each day control chart is built for the average bolft length (X)using 3-igma control lmits, then the upper contral imn i B. 31.5 C. 33 D. 32.01 E. 34.5 11. The control limits on an X-bar chart and the spectationimits are interchangeable. This tanem A. True B. False on emWrewr 250 cm and hi·tandart eewation to construct a variables control chart to monitor the process average with samples of size n-16.What wil be the upper three-sigma control limit on the X-bar chart? 12. A manufacturing process is set at an average dimension A. 2.86 B. 3.62 C. 2.59 D. 2.52 E. None of the aboveExplanation / Answer
Question 7 :
Answer (b) Inferring that a process is in control when it is actually out of control.
Reason A type 2 error is the probability of accepting a false hypothesis.
Question 9 :
Answer True
Reason since all the sample points fall within upper control limit (UCL) and lower control limit (LCL), the process is under statistical control
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