Exam 10: A: Statistical Quality Control
Exam 1: Introduction to Operations Management63 Questions
Exam 2: Competitiveness, Strategic Planning, and Productivity54 Questions
Exam 3: Demand Forecasting172 Questions
Exam 4: A: Product Design74 Questions
Exam 4: B: Product Design56 Questions
Exam 5: A: Strategic Capacity Planning74 Questions
Exam 5: B: Strategic Capacity Planning64 Questions
Exam 6: A: Process Design and Facility Layout157 Questions
Exam 6: B: Process Design and Facility Layout99 Questions
Exam 7: A: Design of Work Systems143 Questions
Exam 7: B: Design of Work Systems68 Questions
Exam 8: A: Location Planning and Analysis74 Questions
Exam 8: B: Location Planning and Analysis16 Questions
Exam 9: Management of Quality98 Questions
Exam 10: A: Statistical Quality Control121 Questions
Exam 10: B: Statistical Quality Control61 Questions
Exam 11: Supply Chain Management86 Questions
Exam 12: Inventory Management168 Questions
Exam 13: Aggregate Operations Planning71 Questions
Exam 14: Material Requirements Planning and Enterprise Resource Planning84 Questions
Exam 15: A: Just-In-Time and Lean Production82 Questions
Exam 15: B: Just-In-Time and Lean Production32 Questions
Exam 16: Job and Staff Scheduling112 Questions
Exam 17: Project Management127 Questions
Exam 18: A: Waiting-Line Analysis76 Questions
Exam 18: B: Waiting-Line Analysis41 Questions
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If he uses upper and lower control limits of 23 and 17 ounces,on what day(s),if any,does this process appear to be out of control?
(Multiple Choice)
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Control charts based on attribute data are for process characteristics that are counted rather than measured.
(True/False)
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Given the following process control data for a normally distributed quality variable (three samples of size four each):
-If the process is known to have a mean of 15 and a standard deviation of 3,what is the mean of the sampling distribution of sample means for whenever this process is under control?
The standard deviation?

(Short Answer)
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The range chart (R-chart)is most likely to detect a change in:
(Multiple Choice)
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Given the following process control data for a normally distributed quality variable (three samples of size four each):
-If the process is known to have a mean of 15 and a standard deviation of 3,what is the alpha risk (probability of Type I error)for upper and lower control limits of 16.5 and 13.5 respectively?
18 and 12?
19.5 and 10.5?

(Short Answer)
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Approximately 99.7% of sample means will fall within ± two standard deviations of the process mean.
(True/False)
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The probability of concluding that an assignable variation exists when only random variation is present is:
I.the probability of a Type I error.
II.known as the alpha risk.
III.highly unlikely.
IV.the sum of probabilities in the two tails of the distribution.
(Multiple Choice)
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Control limits are determined based on design specification limits.
(True/False)
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There is no direct link between design specifications and statistical process control limits.
(True/False)
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Control limits are specifications established by engineering design or customer requirements.
(True/False)
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A c-chart is used to monitor the number of defectives in the output of a process.
(True/False)
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The specification limits for a product are 8 cm and 10 cm.A process that produces the product has a mean of 9.5 cm and a standard deviation of 0.2 cm.What is the process capability,Cpk?
(Multiple Choice)
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The optimum level of inspection minimizes the sum of inspection costs and the cost of passing defectives.
(True/False)
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Concluding that a process has not changed when it has is known as a Type I error.
(True/False)
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A shift in the process mean for a measured quality characteristic would most likely be detected by a(n):
(Multiple Choice)
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Which of the following quality control sample statistics measures a quality characteristic which is an attribute?
(Multiple Choice)
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The probability of a Type I error is the probability of concluding that assignable variation is present even though only random variation exists.
(True/False)
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Quality control efforts that occur during production are referred to as statistical process control.
(True/False)
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