Deck 3: Statistical Process Control
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Deck 3: Statistical Process Control
1
Unique or special cause variation reflects the random variation associated with the output of a process.
False
2
Process control is achieved by taking periodic samples from a process and plotting the sample points on a chart to determine if the process is within control limits.
True
3
Employee training in statistical process control is a fundamental principle in total quality management programs.
True
4
Process control charts are often used at a critical point after which it is difficult to correct or rework the process output.
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5
One reason some companies fail in their attempt to apply statistical process control is lack of training.
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6
Statistical process control involves monitoring and controlling a process to prevent poor quality.
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7
Process control charts are rarely useful for monitoring and controlling the output of service processes.
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8
Control limits are based on the special cause variation inherent in a process.
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9
Statistical process control is a tool used to monitor and improve quality.
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10
Special cause variation can be identified using statistical process control.
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11
Statistical process control is based on a philosophy of inspection as opposed to prevention.
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12
Control charts visually show when a process is not within statistical control limits.
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13
After special cause variation is detected,the focus changes to identifying the root cause of the variation and eliminating it.
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14
A process that is determined to be in control contains no variation.
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15
Common cause (random)variation provides evidence that the process is not in control.
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16
Statistical process control is only effective for service processes.
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17
One goal of statistical process control is to prevent a process from producing items that have to be scrapped or reworked.
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18
Statistical process control is a subset of statistical quality control.
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19
Two types of variation associated with the output of a process are common (random)cause and special cause.
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20
All processes contain a certain amount of variation in their output.
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21
A quantitative variable classifies while a qualitative variable (attribute)measures.
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22
Attribute (qualitative)control charts are used to monitor descriptive characteristics of the output of a process.
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23
The formula used to determine the upper and lower control limits is based on specification limits.
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24
When constructing a control chart for the first time,all points should be within the control limits indicating the process is in control.
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25
A p-chart is used to monitor the proportion defective in the output of a process.
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26
Defect and defective mean the same thing for attribute (qualitative)control charts.
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27
Control charts are never implemented until special cause variation has been detected in a process.
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28
The range measures the variation within samples versus the variation between samples.
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29
A c-chart monitors the number of defects in small samples.
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30
Construction and use of an
-chart is based on an assumption that the sample points are normally distributed around the centre line.

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31
It is sometimes not necessary to determine new control limits after special cause variation has been identified if the source has been eliminated without changing the process.
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32
When calculating control limits for a process,the number of standard deviations (z value)is typically six.
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33
When monitoring a process's output with a quantitative variable either an R-chart or an
-chart is used,but never both.

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34
The smaller the historical proportion defective reported for a process,the larger the sample size required to detect special cause variation with a p-chart.
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35
With a c-chart,the sample size is small and often contains only one item.
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36
The individual that detects special cause variation in a process is not allowed to diagnose the root cause and correct it.
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37
When special cause variation is detected,it is normally eliminated by increasing the number of standard deviations (z value)used to calculate the control limits.
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38
The range is the difference between the smallest and largest values in a sample.
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39
When a control chart detects no special cause variation in a process,the upper and lower control limits are the same value.
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40
Variable control charts are used for quantitative measures such as weight or time.
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41
Statistical process control can prevent poor quality before it occurs if a pattern is evident in the plotted points.
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42
In some cases,the
-chart is used without the R-chart because the within sample variation is not of concern.

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43
Only certified statisticians should use Excel to construct a control chart for a process.
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44
Control chart sample sizes are becoming smaller because it is easier to detect a pattern with Excel or other data analysis software.
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45
In some cases,the
-chart is used without an R-chart because there is no variation between the samples.

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46
A sequence of sample points that display a pattern is known as a run.
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47
It is possible to have low variation within samples while at the same time having high variation between sample means.
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48
If a pattern is evident in the points plotted on a control chart,the points are always considered evidence that the process is in control.
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49
The popularity of Excel and other data analysis software has been a major factor in the increased use of statistical process control.
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50
A pattern test can identify an out-of-control process even if all sample points are within control limits.
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51
A control chart is in control when the plot of the sample points exhibits a pattern.
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52
One advantage of using a pattern test is that special cause variations may be identified before any points are plotted outside the control limits.
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53
Information from an R-chart can be used to construct the control limits for an
-chart.

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54
If the points plotted on a control chart display a pattern,it is called a run.
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55
Using Excel to construct control charts should be avoided because most people believe using software results in too many errors.
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56
The R-chart is used for monitoring and controlling variation within samples.
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57
Variable (quantitative)control charts are used to monitor measurable characteristics of a process's outputs.
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58
The process centre line for both
and R-charts are both the same value because they are based on the same raw data.

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59
An R-chart monitors the robustness of a process.
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60
An
and R-chart constructed to monitor and control a process use same raw data.

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61
Excel can be used to increase the efficiency and accuracy of determining the process capability ratio and the process capability index.
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62
Possible root causes of special cause variation include all of the following except
A)operator error.
B)process out of adjustments.
C)over producing.
D)defective materials.
A)operator error.
B)process out of adjustments.
C)over producing.
D)defective materials.
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63
A process capability ratio greater than one shows that a process is capable of producing output within its specification limits.
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64
Which of the following is not a characteristic of a control chart?
A)The centre line is determined using special cause variations.
B)The upper and lower control limits are based on special cause variation.
C)The centre line is determined by using the target value.
D)None of the above are true.
A)The centre line is determined using special cause variations.
B)The upper and lower control limits are based on special cause variation.
C)The centre line is determined by using the target value.
D)None of the above are true.
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65
The process capability ratio measures the specification limits over the control limits.
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66
The process capability index indicates how much a process mean differs from the target specification value.
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67
The goal of statistical process control is to ensure that the control limits and specifications limits for a process always remain the same.
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68
For a given process,the process capability ratio is not related to its control limits.
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69
Four common types of control charts include all of the following except
A)
-chart
B)t-chart
C)p-chart
D)c-chart
A)

B)t-chart
C)p-chart
D)c-chart
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70
A process capability ratio reflects the number of (Z)sigmas included in the range between the upper and lower control limits.
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71
Design specification limits should always be wider than the control limits for a given process.
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72
Which of the following statements concerning control chart limits is true?
A)The smaller the value of z,the more narrow the control limits are and the more sensitive the chart is to changes in the production process.
B)The larger the value of z,the more narrow the control limits are and the more sensitive the chart is to changes in the production process.
C)The smaller the value of z,the wider the control limits are and the less sensitive the chart is to changes in the production process.
D)The larger the value of z,the more narrow the control limits are and the less sensitive the chart is to changes in the production process.
A)The smaller the value of z,the more narrow the control limits are and the more sensitive the chart is to changes in the production process.
B)The larger the value of z,the more narrow the control limits are and the more sensitive the chart is to changes in the production process.
C)The smaller the value of z,the wider the control limits are and the less sensitive the chart is to changes in the production process.
D)The larger the value of z,the more narrow the control limits are and the less sensitive the chart is to changes in the production process.
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73
Tolerances and specification limits report similar information for a given product design.
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74
Special cause variation in a process is more likely to be detected with
A)wider control limits.
B)narrow control limits.
C)wider specification limits.
D)narrow specification limits.
A)wider control limits.
B)narrow control limits.
C)wider specification limits.
D)narrow specification limits.
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75
Which of the following is not a primary purpose of statistical process control?
A)to establish control limits
B)to detect special cause variations
C)to identify specification limits
D)to determine when a process is not in control
A)to establish control limits
B)to detect special cause variations
C)to identify specification limits
D)to determine when a process is not in control
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76
Tolerances reflect the amount of common cause variation allowed in a process.
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77
The process capability index is used only for p and c charts while the process capability ratio is used only for
and R charts.

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78
Which of the following statements is true?
A)With wider control limits (larger Z),the process is more likely to be in control.
B)With narrower control limits,(smaller Z),the process is more likely to be in control.
C)With wider control limits (larger Z),the process is less likely to be in control.
D)None of the above are true.
A)With wider control limits (larger Z),the process is more likely to be in control.
B)With narrower control limits,(smaller Z),the process is more likely to be in control.
C)With wider control limits (larger Z),the process is less likely to be in control.
D)None of the above are true.
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79
Some companies that strive to provide extremely high quality use Z=6 (six sigma)vs.Z=3 (three sigma)when constructing control limits.
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80
A control chart that uses the actual number of defects per item to monitor a process is known as a
A)p-chart.
B)c-chart.
C)R-chart.
D)
-chart.
A)p-chart.
B)c-chart.
C)R-chart.
D)

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