Quality Control

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Question 1

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Approving the effort that occurs during the production process is known as acceptance sampling.

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Question 2

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Statistical process control is the measurement of rejects in the final product.

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Question 3

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The traditional view is that the optimum level of inspection occurs when we catch at least 98.6 percent of the defects.

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Question 4

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The traditional view is that the optimum level of inspection minimizes the sum of inspection costs and the cost of passing defectives.

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Question 5

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Processes that are in control eliminate variations.

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Question 6

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High-cost, low-volume items often require careful inspection since we may have large costs associated with passing defectives.

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Question 7

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Low-cost, high-volume items often require more intensive inspection than other types of items.

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Question 8

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A lower control limit must by definition be a value less than an upper control limit.

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Question 9

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Attributes need to be measured, whereas variable data can be counted.

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Question 10

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The amount of inspection we choose can range from no inspection at all to inspecting each item numerous times.

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Question 11

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The amount of inspection needed is governed by the costs of inspection and the expected costs of passing defective items.

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Question 12

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The purpose of statistical process control is to ensure that historical output is random.

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Question 13

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A process that exhibits random variability would be judged to be out of control.

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Question 14

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If a point on a control chart falls outside one of the control limits, this suggests that the process output is nonrandom and should be investigated.

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Question 15

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An x-bar control chart can only be valid if the underlying population it measures is a normal distribution.

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Question 16

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Concluding that a process is out of control when it is not is known as a Type I error.

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Question 17

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An R value of zero (on a range chart) means that the process must be in control since all sample values are equal.

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Question 18

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A p-chart is used to monitor the fraction of defectives in the output of a process.

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Question 19

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A c-chart is used to monitor the total number of defectives in the output of a process.

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Question 20

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A c-chart is used to monitor the number of defects per unit for process output.

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