Deck 14: Quality Control

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Question
High-cost, low-volume items often require careful inspection since we may have large costs associated with passing defectives.
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Question
The traditional view is that the optimum level of inspection occurs when we catch at least 98.6 percent of the defects.
Question
Statistical process control is the measurement of rejects in the final product.
Question
Concluding that a process is out of control when it is not is known as a Type I error.
Question
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.
Question
A lower control limit must by definition be a value less than an upper control limit.
Question
The amount of inspection needed is governed by the costs of inspection and the expected costs of passing defective items.
Question
The purpose of statistical process control is to ensure that historical output is random.
Question
Approving the effort that occurs during the production process is known as acceptance sampling.
Question
Range charts and p-charts are both used for variable data.
Question
An R value of zero (on a range chart) means that the process must be in control since all sample values are equal.
Question
Attributes need to be measured, whereas variable data can be counted.
Question
Low-cost, high-volume items often require more intensive inspection than other types of items.
Question
A p-chart is used to monitor the fraction of defectives in the output of a process.
Question
A process that exhibits random variability would be judged to be out of control.
Question
Processes that are in control eliminate variations.
Question
An x-bar control chart can only be valid if the underlying population it measures is a normal distribution.
Question
The traditional view is that the optimum level of inspection minimizes the sum of inspection costs and the cost of passing defectives.
Question
The amount of inspection we choose can range from no inspection at all to inspecting each item numerous times.
Question
Range charts are used mainly with attribute data.
Question
Tolerances represent the control limits we use on the charts.
Question
A run test checks a sequence of observations for randomness.
Question
Control limits tend to be wider for more variable processes.
Question
The purpose of quality control is making sure that processes are performing in an acceptable manner.
Question
Patterns of data on a control chart suggest that the process may have nonrandom variation.
Question
Approximately 99.7 percent of sample means will fall within plus or minus two standard deviations of the process mean if the process is under control.
Question
The output of a process may not conform to specifications even though the process may be statistically "in control."
Question
A c-chart is used to monitor the total number of defectives in the output of a process.
Question
A c-chart is used to monitor the number of defects per unit for process output.
Question
The primary purpose of statistical process control is to detect a defective product before it is shipped to a customer.
Question
The sampling distribution can be assumed to be approximately normal even when the underlying process distribution is not normally distributed.
Question
Statistical process control focuses on the acceptability of process output.
Question
The Taguchi loss function suggests that the capability ratio can be improved by extending the spread between LCL and UCL.
Question
Run tests are useful in helping to identify nonrandom variations in a process.
Question
The variation of a sampling distribution is less than the variation of the underlying process distribution.
Question
Process capability compares process variability to the tolerances.
Question
Control limits used on process control charts are specifications established by design or customers.
Question
Cpk can be used only when the process is centered.
Question
Cpk is useful even when the process is not centered.
Question
Run tests give managers an alternative to control charts; they are quicker and cost less.
Question
Attribute data are counted, variable data are measured.
Question
A time-ordered plot of representative sample statistics is called a(n):

A) Gantt chart.
B) simo chart.
C) control chart.
D) up-down matrix.
E) standard deviation table.
Question
A control chart used to monitor the fraction of defectives generated by a process is the:

A) p-chart.
B) R-chart.
C) x-bar chart.
D) c-chart.
E) Gantt chart.
Question
The more progressive a firm's approach to quality assurance, the less that company will need to rely on:

A) insourcing.
B) inspection.
C) outsourcing.
D) continuous improvement.
E) capability assessment.
Question
The greater the volume of the process being targeted for inspection, the more attractive __________ inspection is.

A) monitored
B) controlled
C) periodic
D) variable
E) automated
Question
Which of the following quality control sample statistics indicates a quality characteristic that is an attribute?

A) mean
B) variance
C) standard deviation
D) range
E) proportion
Question
Statistical process control charts are not really used to fix quality so much as they are used to:

A) highlight when processes are not capable.
B) point out when random variation is present.
C) alert when corrective action is needeD.
D) monitor the quality of incoming shipments or outgoing finished goods.
E) initiate team-building exercises.
Question
Inspection is a(n)_____________ activity.

A) prevention.
B) capability analysis.
C) flawless
D) corrective.
E) appraisal.
Question
The amount of inspection needed depends on __________ and __________.

A) the amount of automation; the reliability of inspectors
B) the quality of the supplier; the target market of the process
C) the costs of inspection; the costs of passing on defective items
D) where in the process the inspection occurs; the volume of the process
E) the cost of the item being inspected; the use of the item being inspected
Question
Acceptance sampling, when it is used, is used:
(I) before production.
(II) during production.
(III) after production.

A) I only
B) I and III only
C) I and II only
D) II and III only
E) I, II, and III
Question
When a process is not centered, its capability is measured in a slightly different way. The symbol for this case is Cpk.
Question
Larger samples will require wider x-bar control limits because there is more data.
Question
A p-chart would be used to monitor:

A) average shrinkage.
B) dispersion in sample data.
C) the fraction defectivE.
D) the number of defects per unit.
E) the range of values.
Question
The number of defective parts in a sample is an example of variable data because it will "vary" from one sample to another.
Question
Range control charts are used to monitor process central tendency.
Question
Control limits are based on multiples of the process standard deviation.
Question
A control chart used to monitor the process mean is the:

A) p-chart.
B) R-chart.
C) x-bar chart.
D) c-chart.
E) Gantt chart.
Question
The assurance that processes are performing in an acceptable manner is the focus of:

A) variability analysis.
B) inspection.
C) capability assessment.
D) quality control.
E) acceptance sampling.
Question
A c-chart is used for:

A) means.
B) ranges.
C) percent defective.
D) fraction defective per unit.
E) number of defects per unit.
Question
The best way to assure quality is to use extensive inspection and control charts.
Question
The process capability index (Cpk) may mislead if:
(I) the process is not stable.
(II) the process output is not normally distributed.
(III) the process is not centered.

A) I and II
B) I and III
C) II and III
D) II only
E) I, II, and III
Question
A control chart used to monitor the number of defects per unit is the:

A) p-chart.
B) R-chart.
C) x-bar chart.
D) c-chart.
E) Gantt chart.
Question
Which of the following relationships must always be incorrect?

A) Tolerances > process variability > control limits
B) Process variability > tolerances > control limits
C) Tolerances > control limits > process variability
D) Process variability > control limits > tolerances
E) Process variability < tolerances < control limits
Question
A shift in the process mean for a measured characteristic would most likely be detected by a:

A) p-chart.
B) x-bar chart.
C) c-chart.
D) R-chart.
E) s-chart.
Question
Which of the following is not a step in the control process?

A) Define what is to be controlled.
B) Compare measurements to a standard.
C) 100 percent inspection.
D) Take corrective action if necessary.
E) Evaluate corrective action.
Question
The purpose of control charts is to:

A) estimate the proportion of output that is acceptable.
B) weed out defective items.
C) determine if the output is within tolerances/specifications.
D) distinguish between random variation and assignable variation in the process.
E) provide meaningful work for quality inspectors.
Question
A plot below the lower control limit on the range chart:
(I) should be ignored since lower variation is desirable.
(II) may be an indication that process variation has decreased.
(III) should be investigated for assignable cause.

A) I and II
B) I and III
C) II and III
D) II only
E) I, II, and III
Question
A time-ordered plot of sample statistics is called a(n) ______ chart.

A) statistical
B) inspection
C) control
D) simo
E) limit
Question
Consider the following information: <strong>Consider the following information:   The number of runs above and below the sample median is:</strong> A) 3. B) 4. C) 5. D) 6. E) none of these. <div style=padding-top: 35px>
The number of runs above and below the sample median is:

A) 3.
B) 4.
C) 5.
D) 6.
E) none of these.
Question
If a process is performing as it should, it is still possible to obtain observations which are outside of which limits?
(I) tolerances
(II) control limits
(III) process variability

A) I
B) II
C) I and II
D) II and III
E) I, II, and III
Question
The range chart (R-chart) is most likely to detect a change in:

A) proportion.
B) mean.
C) number defective.
D) variability.
E) sample size.
Question
A design engineer wants to construct a sample mean chart for controlling the service life of a halogen headlamp his company produces. He knows from numerous previous samples that this service life is normally distributed with a mean of 500 hours and a standard deviation of 20 hours. On three recent production batches, he tested service life on random samples of four headlamps, with these results: <strong>A design engineer wants to construct a sample mean chart for controlling the service life of a halogen headlamp his company produces. He knows from numerous previous samples that this service life is normally distributed with a mean of 500 hours and a standard deviation of 20 hours. On three recent production batches, he tested service life on random samples of four headlamps, with these results:   What is the sample mean service life for sample 2?</strong> A) 460 hours B) 495 hours C) 500 hours D) 515 hours E) 525 hours <div style=padding-top: 35px>
What is the sample mean service life for sample 2?

A) 460 hours
B) 495 hours
C) 500 hours
D) 515 hours
E) 525 hours
Question
The traditional view is that the optimum level of inspection is where the:

A) cost of inspection is minimum.
B) cost of passing defectives is minimum.
C) total cost of inspection and defectives is maximum.
D) total cost of inspection and defectives is minimum.
E) difference between inspection and defectives costs is minimum.
Question
A design engineer wants to construct a sample mean chart for controlling the service life of a halogen headlamp his company produces. He knows from numerous previous samples that when this service life is in control it is normally distributed with a mean of 500 hours and a standard deviation of 20 hours. On three recent production batches, he tested service life on random samples of four headlamps, with these results: <strong>A design engineer wants to construct a sample mean chart for controlling the service life of a halogen headlamp his company produces. He knows from numerous previous samples that when this service life is in control it is normally distributed with a mean of 500 hours and a standard deviation of 20 hours. On three recent production batches, he tested service life on random samples of four headlamps, with these results:   What is the mean of the sampling distribution of sample means when the service life is in control?</strong> A) 250 hours B) 470 hours C) 495 hours D) 500 hours E) 515 hours <div style=padding-top: 35px>
What is the mean of the sampling distribution of sample means when the service life is in control?

A) 250 hours
B) 470 hours
C) 495 hours
D) 500 hours
E) 515 hours
Question
The probability of concluding that 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 normal distribution.

A) I and II
B) I and IV
C) II and III
D) I, II, and IV
E) I, III, and IV
Question
The following data occurs chronologically from left to right: <strong>The following data occurs chronologically from left to right:   The number of runs above and below the sample median is:</strong> A) 2. B) 3. C) 4. D) 5. E) none of these. <div style=padding-top: 35px>
The number of runs above and below the sample median is:

A) 2.
B) 3.
C) 4.
D) 5.
E) none of these.
Question
A point which is outside of the lower control limit on an R-chart:

A) is an indication that no cause of variation is present.
B) should be ignored because it signifies better-than-average quality.
C) should be investigated because an assignable cause of variation might be present.
D) should be ignored unless another point is outside that limit.
E) is impossible since the lower limit is always zero.
Question
The following data occurs chronologically from left to right: <strong>The following data occurs chronologically from left to right:   The number of runs up and down is:</strong> A) 2. B) 3. C) 4. D) 5. E) none of these. <div style=padding-top: 35px>
The number of runs up and down is:

A) 2.
B) 3.
C) 4.
D) 5.
E) none of these.
Question
_______ variation is a variation whose cause can be identified.

A) Assignable
B) Controllable
C) Random
D) Statistical
E) Theoretical
Question
Consider the following information: <strong>Consider the following information:   The number of runs up and down for the preceding data is:</strong> A) 3. B) 4. C) 5. D) 6. E) none of these. <div style=padding-top: 35px>
The number of runs up and down for the preceding data is:

A) 3.
B) 4.
C) 5.
D) 6.
E) none of these.
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Deck 14: Quality Control
1
High-cost, low-volume items often require careful inspection since we may have large costs associated with passing defectives.
True
2
The traditional view is that the optimum level of inspection occurs when we catch at least 98.6 percent of the defects.
False
3
Statistical process control is the measurement of rejects in the final product.
False
4
Concluding that a process is out of control when it is not is known as a Type I error.
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5
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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6
A lower control limit must by definition be a value less than an upper control limit.
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7
The amount of inspection needed is governed by the costs of inspection and the expected costs of passing defective items.
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8
The purpose of statistical process control is to ensure that historical output is random.
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9
Approving the effort that occurs during the production process is known as acceptance sampling.
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10
Range charts and p-charts are both used for variable data.
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11
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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12
Attributes need to be measured, whereas variable data can be counted.
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13
Low-cost, high-volume items often require more intensive inspection than other types of items.
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14
A p-chart is used to monitor the fraction of defectives in the output of a process.
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15
A process that exhibits random variability would be judged to be out of control.
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16
Processes that are in control eliminate variations.
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17
An x-bar control chart can only be valid if the underlying population it measures is a normal distribution.
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18
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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19
The amount of inspection we choose can range from no inspection at all to inspecting each item numerous times.
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20
Range charts are used mainly with attribute data.
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21
Tolerances represent the control limits we use on the charts.
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22
A run test checks a sequence of observations for randomness.
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23
Control limits tend to be wider for more variable processes.
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24
The purpose of quality control is making sure that processes are performing in an acceptable manner.
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25
Patterns of data on a control chart suggest that the process may have nonrandom variation.
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26
Approximately 99.7 percent of sample means will fall within plus or minus two standard deviations of the process mean if the process is under control.
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27
The output of a process may not conform to specifications even though the process may be statistically "in control."
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28
A c-chart is used to monitor the total number of defectives in the output of a process.
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29
A c-chart is used to monitor the number of defects per unit for process output.
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30
The primary purpose of statistical process control is to detect a defective product before it is shipped to a customer.
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31
The sampling distribution can be assumed to be approximately normal even when the underlying process distribution is not normally distributed.
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32
Statistical process control focuses on the acceptability of process output.
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33
The Taguchi loss function suggests that the capability ratio can be improved by extending the spread between LCL and UCL.
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34
Run tests are useful in helping to identify nonrandom variations in a process.
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35
The variation of a sampling distribution is less than the variation of the underlying process distribution.
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36
Process capability compares process variability to the tolerances.
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37
Control limits used on process control charts are specifications established by design or customers.
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38
Cpk can be used only when the process is centered.
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39
Cpk is useful even when the process is not centered.
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40
Run tests give managers an alternative to control charts; they are quicker and cost less.
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41
Attribute data are counted, variable data are measured.
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42
A time-ordered plot of representative sample statistics is called a(n):

A) Gantt chart.
B) simo chart.
C) control chart.
D) up-down matrix.
E) standard deviation table.
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43
A control chart used to monitor the fraction of defectives generated by a process is the:

A) p-chart.
B) R-chart.
C) x-bar chart.
D) c-chart.
E) Gantt chart.
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44
The more progressive a firm's approach to quality assurance, the less that company will need to rely on:

A) insourcing.
B) inspection.
C) outsourcing.
D) continuous improvement.
E) capability assessment.
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45
The greater the volume of the process being targeted for inspection, the more attractive __________ inspection is.

A) monitored
B) controlled
C) periodic
D) variable
E) automated
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46
Which of the following quality control sample statistics indicates a quality characteristic that is an attribute?

A) mean
B) variance
C) standard deviation
D) range
E) proportion
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47
Statistical process control charts are not really used to fix quality so much as they are used to:

A) highlight when processes are not capable.
B) point out when random variation is present.
C) alert when corrective action is needeD.
D) monitor the quality of incoming shipments or outgoing finished goods.
E) initiate team-building exercises.
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48
Inspection is a(n)_____________ activity.

A) prevention.
B) capability analysis.
C) flawless
D) corrective.
E) appraisal.
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49
The amount of inspection needed depends on __________ and __________.

A) the amount of automation; the reliability of inspectors
B) the quality of the supplier; the target market of the process
C) the costs of inspection; the costs of passing on defective items
D) where in the process the inspection occurs; the volume of the process
E) the cost of the item being inspected; the use of the item being inspected
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50
Acceptance sampling, when it is used, is used:
(I) before production.
(II) during production.
(III) after production.

A) I only
B) I and III only
C) I and II only
D) II and III only
E) I, II, and III
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51
When a process is not centered, its capability is measured in a slightly different way. The symbol for this case is Cpk.
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52
Larger samples will require wider x-bar control limits because there is more data.
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53
A p-chart would be used to monitor:

A) average shrinkage.
B) dispersion in sample data.
C) the fraction defectivE.
D) the number of defects per unit.
E) the range of values.
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54
The number of defective parts in a sample is an example of variable data because it will "vary" from one sample to another.
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55
Range control charts are used to monitor process central tendency.
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56
Control limits are based on multiples of the process standard deviation.
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57
A control chart used to monitor the process mean is the:

A) p-chart.
B) R-chart.
C) x-bar chart.
D) c-chart.
E) Gantt chart.
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58
The assurance that processes are performing in an acceptable manner is the focus of:

A) variability analysis.
B) inspection.
C) capability assessment.
D) quality control.
E) acceptance sampling.
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59
A c-chart is used for:

A) means.
B) ranges.
C) percent defective.
D) fraction defective per unit.
E) number of defects per unit.
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60
The best way to assure quality is to use extensive inspection and control charts.
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61
The process capability index (Cpk) may mislead if:
(I) the process is not stable.
(II) the process output is not normally distributed.
(III) the process is not centered.

A) I and II
B) I and III
C) II and III
D) II only
E) I, II, and III
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62
A control chart used to monitor the number of defects per unit is the:

A) p-chart.
B) R-chart.
C) x-bar chart.
D) c-chart.
E) Gantt chart.
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63
Which of the following relationships must always be incorrect?

A) Tolerances > process variability > control limits
B) Process variability > tolerances > control limits
C) Tolerances > control limits > process variability
D) Process variability > control limits > tolerances
E) Process variability < tolerances < control limits
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64
A shift in the process mean for a measured characteristic would most likely be detected by a:

A) p-chart.
B) x-bar chart.
C) c-chart.
D) R-chart.
E) s-chart.
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65
Which of the following is not a step in the control process?

A) Define what is to be controlled.
B) Compare measurements to a standard.
C) 100 percent inspection.
D) Take corrective action if necessary.
E) Evaluate corrective action.
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66
The purpose of control charts is to:

A) estimate the proportion of output that is acceptable.
B) weed out defective items.
C) determine if the output is within tolerances/specifications.
D) distinguish between random variation and assignable variation in the process.
E) provide meaningful work for quality inspectors.
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67
A plot below the lower control limit on the range chart:
(I) should be ignored since lower variation is desirable.
(II) may be an indication that process variation has decreased.
(III) should be investigated for assignable cause.

A) I and II
B) I and III
C) II and III
D) II only
E) I, II, and III
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68
A time-ordered plot of sample statistics is called a(n) ______ chart.

A) statistical
B) inspection
C) control
D) simo
E) limit
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69
Consider the following information: <strong>Consider the following information:   The number of runs above and below the sample median is:</strong> A) 3. B) 4. C) 5. D) 6. E) none of these.
The number of runs above and below the sample median is:

A) 3.
B) 4.
C) 5.
D) 6.
E) none of these.
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70
If a process is performing as it should, it is still possible to obtain observations which are outside of which limits?
(I) tolerances
(II) control limits
(III) process variability

A) I
B) II
C) I and II
D) II and III
E) I, II, and III
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71
The range chart (R-chart) is most likely to detect a change in:

A) proportion.
B) mean.
C) number defective.
D) variability.
E) sample size.
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72
A design engineer wants to construct a sample mean chart for controlling the service life of a halogen headlamp his company produces. He knows from numerous previous samples that this service life is normally distributed with a mean of 500 hours and a standard deviation of 20 hours. On three recent production batches, he tested service life on random samples of four headlamps, with these results: <strong>A design engineer wants to construct a sample mean chart for controlling the service life of a halogen headlamp his company produces. He knows from numerous previous samples that this service life is normally distributed with a mean of 500 hours and a standard deviation of 20 hours. On three recent production batches, he tested service life on random samples of four headlamps, with these results:   What is the sample mean service life for sample 2?</strong> A) 460 hours B) 495 hours C) 500 hours D) 515 hours E) 525 hours
What is the sample mean service life for sample 2?

A) 460 hours
B) 495 hours
C) 500 hours
D) 515 hours
E) 525 hours
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73
The traditional view is that the optimum level of inspection is where the:

A) cost of inspection is minimum.
B) cost of passing defectives is minimum.
C) total cost of inspection and defectives is maximum.
D) total cost of inspection and defectives is minimum.
E) difference between inspection and defectives costs is minimum.
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74
A design engineer wants to construct a sample mean chart for controlling the service life of a halogen headlamp his company produces. He knows from numerous previous samples that when this service life is in control it is normally distributed with a mean of 500 hours and a standard deviation of 20 hours. On three recent production batches, he tested service life on random samples of four headlamps, with these results: <strong>A design engineer wants to construct a sample mean chart for controlling the service life of a halogen headlamp his company produces. He knows from numerous previous samples that when this service life is in control it is normally distributed with a mean of 500 hours and a standard deviation of 20 hours. On three recent production batches, he tested service life on random samples of four headlamps, with these results:   What is the mean of the sampling distribution of sample means when the service life is in control?</strong> A) 250 hours B) 470 hours C) 495 hours D) 500 hours E) 515 hours
What is the mean of the sampling distribution of sample means when the service life is in control?

A) 250 hours
B) 470 hours
C) 495 hours
D) 500 hours
E) 515 hours
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75
The probability of concluding that 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 normal distribution.

A) I and II
B) I and IV
C) II and III
D) I, II, and IV
E) I, III, and IV
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76
The following data occurs chronologically from left to right: <strong>The following data occurs chronologically from left to right:   The number of runs above and below the sample median is:</strong> A) 2. B) 3. C) 4. D) 5. E) none of these.
The number of runs above and below the sample median is:

A) 2.
B) 3.
C) 4.
D) 5.
E) none of these.
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77
A point which is outside of the lower control limit on an R-chart:

A) is an indication that no cause of variation is present.
B) should be ignored because it signifies better-than-average quality.
C) should be investigated because an assignable cause of variation might be present.
D) should be ignored unless another point is outside that limit.
E) is impossible since the lower limit is always zero.
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78
The following data occurs chronologically from left to right: <strong>The following data occurs chronologically from left to right:   The number of runs up and down is:</strong> A) 2. B) 3. C) 4. D) 5. E) none of these.
The number of runs up and down is:

A) 2.
B) 3.
C) 4.
D) 5.
E) none of these.
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79
_______ variation is a variation whose cause can be identified.

A) Assignable
B) Controllable
C) Random
D) Statistical
E) Theoretical
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80
Consider the following information: <strong>Consider the following information:   The number of runs up and down for the preceding data is:</strong> A) 3. B) 4. C) 5. D) 6. E) none of these.
The number of runs up and down for the preceding data is:

A) 3.
B) 4.
C) 5.
D) 6.
E) none of these.
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Unlock Deck
Unlock for access to all 112 flashcards in this deck.