Deck 17: Statistical Applications in Quality Management

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Question
TABLE 17-2
A political pollster randomly selects a sample of 100 voters each day for 8 successive days and asks how many will vote for the incumbent. The pollster wishes to construct a p chart to see if the percentage favoring the incumbent candidate is too erratic.
<strong>TABLE 17-2 A political pollster randomly selects a sample of 100 voters each day for 8 successive days and asks how many will vote for the incumbent. The pollster wishes to construct a p chart to see if the percentage favoring the incumbent candidate is too erratic.   Referring to Table 17-2, what is the numerical value of the center line for the p chart?</strong> A) 0.53 B) 0.56 C) 0.63 D) 0.66 <div style=padding-top: 35px>
Referring to Table 17-2, what is the numerical value of the center line for the p chart?

A) 0.53
B) 0.56
C) 0.63
D) 0.66
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Question
Which of the following is not one of Deming's 14 points?

A) Create constancy of purpose for improvement of product or service.
B) Award business on the basis of price tag alone.
C) Break down barriers between staff areas.
D) Drive out fear.
Question
Which of the following is not one of Deming's 14 points?

A) Belief in mass inspection.
B) Create constancy of purpose for improvement of product or service.
C) Adopt and institute leadership.
D) Drive out fear.
Question
Once the control limits are set for a control chart, one attempts to

A) discern patterns that might exist in values over time.
B) determine whether any points fall outside the control limits.
C) Both of the above.
D) None of the above.
Question
Which of the following situations suggests a process that appears to be operating out of statistical control?

A) A control chart with a series of consecutive points that are above the center line and a series of consecutive points that are below the center line.
B) A control chart in which points fall outside the lower control limit.
C) A control chart in which several points fall outside the upper control limit.
D) All of the above.
Question
One of the morals of the red bead experiment is:

A) variation is part of the process.
B) only management can change the system.
C) it is the system that primarily determines performance.
D) All of the above.
Question
The Shewhart-Deming cycle plays an important role in which of the following Deming's 14 points for management?

A) Adopt the new philosophy.
B) Break down barriers between staff areas.
C) Create constancy of purpose for improvement of product and services.
D) Eliminate slogans, exhortation, and targets for the workforce.
Question
TABLE 17-1
A local newspaper has 10 delivery boys who each deliver the morning paper to 50 customers every day. The owner decides to record the number of papers delivered on time for a 10-day period and construct a p chart to see whether the percentage is too erratic.
<strong>TABLE 17-1 A local newspaper has 10 delivery boys who each deliver the morning paper to 50 customers every day. The owner decides to record the number of papers delivered on time for a 10-day period and construct a p chart to see whether the percentage is too erratic.   Referring to Table 17-1, what is the numerical value of the lower control limit for the p chart?</strong> A) 0.920 B) 0.911 C) 0.815 D) 0.798 <div style=padding-top: 35px>
Referring to Table 17-1, what is the numerical value of the lower control limit for the p chart?

A) 0.920
B) 0.911
C) 0.815
D) 0.798
Question
TABLE 17-1
A local newspaper has 10 delivery boys who each deliver the morning paper to 50 customers every day. The owner decides to record the number of papers delivered on time for a 10-day period and construct a p chart to see whether the percentage is too erratic.
<strong>TABLE 17-1 A local newspaper has 10 delivery boys who each deliver the morning paper to 50 customers every day. The owner decides to record the number of papers delivered on time for a 10-day period and construct a p chart to see whether the percentage is too erratic.   Referring to Table 17-1, what is the numerical value of the center line for the p chart?</strong> A) 0.926 B) 0.911 C) 0.885 D) 0.500 <div style=padding-top: 35px>
Referring to Table 17-1, what is the numerical value of the center line for the p chart?

A) 0.926
B) 0.911
C) 0.885
D) 0.500
Question
TABLE 17-1
A local newspaper has 10 delivery boys who each deliver the morning paper to 50 customers every day. The owner decides to record the number of papers delivered on time for a 10-day period and construct a p chart to see whether the percentage is too erratic.
<strong>TABLE 17-1 A local newspaper has 10 delivery boys who each deliver the morning paper to 50 customers every day. The owner decides to record the number of papers delivered on time for a 10-day period and construct a p chart to see whether the percentage is too erratic.   Referring to Table 17-1, what is the numerical value of the upper control limit for the p chart?</strong> A) 0.926 B) 0.961 C) 0.979 D) 1.037 <div style=padding-top: 35px>
Referring to Table 17-1, what is the numerical value of the upper control limit for the p chart?

A) 0.926
B) 0.961
C) 0.979
D) 1.037
Question
The principal focus of the control chart is the attempt to separate special or assignable causes of variation from common causes of variation. What cause of variation can be reduced only by changing the system?

A) special or assignable causes
B) common causes
C) total causes
D) None of the above.
Question
TABLE 17-1
A local newspaper has 10 delivery boys who each deliver the morning paper to 50 customers every day. The owner decides to record the number of papers delivered on time for a 10-day period and construct a p chart to see whether the percentage is too erratic.
<strong>TABLE 17-1 A local newspaper has 10 delivery boys who each deliver the morning paper to 50 customers every day. The owner decides to record the number of papers delivered on time for a 10-day period and construct a p chart to see whether the percentage is too erratic.   Referring to Table 17-1, which expression best characterizes the p chart?</strong> A) cycles B) increasing trend C) in-control D) individual outliers <div style=padding-top: 35px>
Referring to Table 17-1, which expression best characterizes the p chart?

A) cycles
B) increasing trend
C) in-control
D) individual outliers
Question
The control chart

A) focuses on the time dimension of a system.
B) captures the natural variability in the system.
C) can be used for categorical, discrete, or continuous variables.
D) All of the above.
Question
Which of the following is not part of the Shewhart-Deming cycle?

A) plan
B) do
C) react
D) act
Question
Which of the following situations suggests a process that appears to be operating in a state of statistical control?

A) A control chart with a series of consecutive points that are above the center line and a series of consecutive points that are below the center line.
B) A control chart in which no points fall outside either the upper control limit or the lower control limit and no patterns are present.
C) A control chart in which several points fall outside the upper control limit.
D) All of the above.
Question
Variation due to the inherent variability in a system of operation is called

A) special or assignable causes.
B) common or chance causes.
C) explained variation.
D) the standard deviation.
Question
Variation signaled by individual fluctuations or patterns in the data is called

A) special or assignable causes.
B) common or chance causes.
C) explained variation.
D) the standard deviation.
Question
A process is said to be out of control if

A) a point falls above the upper or below the lower control lines.
B) eight or more consecutive points fall above the center line or eight or more consecutive points fall below the center line.
C) Either of the above.
D) None of the above.
Question
TABLE 17-2
A political pollster randomly selects a sample of 100 voters each day for 8 successive days and asks how many will vote for the incumbent. The pollster wishes to construct a p chart to see if the percentage favoring the incumbent candidate is too erratic.
<strong>TABLE 17-2 A political pollster randomly selects a sample of 100 voters each day for 8 successive days and asks how many will vote for the incumbent. The pollster wishes to construct a p chart to see if the percentage favoring the incumbent candidate is too erratic.   Referring to Table 17-2, what is the numerical value of the lower control limit for the p chart?</strong> A) 0.37 B) 0.41 C) 0.50 D) 0.71 <div style=padding-top: 35px>
Referring to Table 17-2, what is the numerical value of the lower control limit for the p chart?

A) 0.37
B) 0.41
C) 0.50
D) 0.71
Question
Which famous statistician developed the 14 Points of Quality?

A) Shewhart
B) Deming
C) Chebyshev
D) Taguchi
Question
TABLE 17-3
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
<strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an R chart to see if the variability in production times is in-control. What is the upper control limit for this R chart?</strong> A) 10.66 B) 9.37 C) 7.98 D) 6.34 <div style=padding-top: 35px>
Referring to Table 17-3, suppose the analyst constructs an R chart to see if the variability in production times is in-control. What is the upper control limit for this R chart?

A) 10.66
B) 9.37
C) 7.98
D) 6.34
Question
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, what is the value of d<sub>2</sub> factor?<div style=padding-top: 35px> She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, what is the value of d2 factor?
Question
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
<strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the supervisor constructs an R chart to see if the variability in collection times is in-control. What is the center line of this R chart?</strong> A) 20.00 B) 20.56 C) 20.40 D) 24.00 <div style=padding-top: 35px> She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, suppose the supervisor constructs an R chart to see if the variability in collection times is in-control. What is the center line of this R chart?

A) 20.00
B) 20.56
C) 20.40
D) 24.00
Question
TABLE 17-3
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
<strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the sample mean and range data were based on 11 observations per day instead of 10. How would this change affect the lower and upper control limits of the R chart?</strong> A) LCL would increase; UCL would decrease. B) LCL would remain the same; UCL would decrease. C) Both LCL and UCL would remain the same. D) LCL would decrease; UCL would increase. <div style=padding-top: 35px>
Referring to Table 17-3, suppose the sample mean and range data were based on 11 observations per day instead of 10. How would this change affect the lower and upper control limits of the R chart?

A) LCL would increase; UCL would decrease.
B) LCL would remain the same; UCL would decrease.
C) Both LCL and UCL would remain the same.
D) LCL would decrease; UCL would increase.
Question
TABLE 17-3
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
<strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an R chart to see if the variability in production times is in-control. What is the lower control limit for this R chart?</strong> A) 4.84 B) 3.37 C) 2.98 D) 1.34 <div style=padding-top: 35px>
Referring to Table 17-3, suppose the analyst constructs an R chart to see if the variability in production times is in-control. What is the lower control limit for this R chart?

A) 4.84
B) 3.37
C) 2.98
D) 1.34
Question
TABLE 17-3
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
<strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an R chart to see if the variability in production times is in-control. The R chart is characterized by which of the following?</strong> A) Increasing trend B) Jump in the level around which the observations vary C) Hugging the center line D) Hugging the control limits <div style=padding-top: 35px>
Referring to Table 17-3, suppose the analyst constructs an R chart to see if the variability in production times is in-control. The R chart is characterized by which of the following?

A) Increasing trend
B) Jump in the level around which the observations vary
C) Hugging the center line
D) Hugging the control limits
Question
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
<strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the supervisor constructs an   chart to see if the process is in-control. What are the lower and upper control limits of this chart?</strong> A) 10.00, 30.00 B) 8.49, 32.03 C) 5.39, 35.13 D) 4.96, 35.56 <div style=padding-top: 35px> She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, suppose the supervisor constructs an <strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the supervisor constructs an   chart to see if the process is in-control. What are the lower and upper control limits of this chart?</strong> A) 10.00, 30.00 B) 8.49, 32.03 C) 5.39, 35.13 D) 4.96, 35.56 <div style=padding-top: 35px> chart to see if the process is in-control. What are the lower and upper control limits of this chart?

A) 10.00, 30.00
B) 8.49, 32.03
C) 5.39, 35.13
D) 4.96, 35.56
Question
TABLE 17-2
A political pollster randomly selects a sample of 100 voters each day for 8 successive days and asks how many will vote for the incumbent. The pollster wishes to construct a p chart to see if the percentage favoring the incumbent candidate is too erratic.
<strong>TABLE 17-2 A political pollster randomly selects a sample of 100 voters each day for 8 successive days and asks how many will vote for the incumbent. The pollster wishes to construct a p chart to see if the percentage favoring the incumbent candidate is too erratic.   Referring to Table 17-2, what is the numerical value of the upper control limit for the p chart?</strong> A) 0.92 B) 0.89 C) 0.71 D) 0.62 <div style=padding-top: 35px>
Referring to Table 17-2, what is the numerical value of the upper control limit for the p chart?

A) 0.92
B) 0.89
C) 0.71
D) 0.62
Question
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
<strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the supervisor constructs an R chart to see if the variability in collection times is in-control. What are the lower and upper control limits for this R chart?</strong> A) -2.33, 43.13 B) -2.28, 42.28 C) 0, 42.28 D) 0, 43.13 <div style=padding-top: 35px> She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, suppose the supervisor constructs an R chart to see if the variability in collection times is in-control. What are the lower and upper control limits for this R chart?

A) -2.33, 43.13
B) -2.28, 42.28
C) 0, 42.28
D) 0, 43.13
Question
TABLE 17-3
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
<strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an   chart to see if the production process is in-control. Which expression best describes this chart?</strong> A) In-control B) Increasing trend C) Hugging the center line D) Individual outliers <div style=padding-top: 35px>
Referring to Table 17-3, suppose the analyst constructs an <strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an   chart to see if the production process is in-control. Which expression best describes this chart?</strong> A) In-control B) Increasing trend C) Hugging the center line D) Individual outliers <div style=padding-top: 35px> chart to see if the production process is in-control. Which expression best describes this chart?

A) In-control
B) Increasing trend
C) Hugging the center line
D) Individual outliers
Question
TABLE 17-3
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
<strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an   chart to see if the production process is in-control. What is the upper control limit (UCL) for this chart?</strong> A) 62.15 B) 60.95 C) 59.85 D) 58.75 <div style=padding-top: 35px>
Referring to Table 17-3, suppose the analyst constructs an <strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an   chart to see if the production process is in-control. What is the upper control limit (UCL) for this chart?</strong> A) 62.15 B) 60.95 C) 59.85 D) 58.75 <div style=padding-top: 35px> chart to see if the production process is in-control. What is the upper control limit (UCL) for this chart?

A) 62.15
B) 60.95
C) 59.85
D) 58.75
Question
TABLE 17-3
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
<strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an   chart to see if the production process is in-control. What is the lower control limit (LCL) for this chart?</strong> A) 47.60 B) 56.15 C) 57.15 D) 58.05 <div style=padding-top: 35px>
Referring to Table 17-3, suppose the analyst constructs an <strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an   chart to see if the production process is in-control. What is the lower control limit (LCL) for this chart?</strong> A) 47.60 B) 56.15 C) 57.15 D) 58.05 <div style=padding-top: 35px> chart to see if the production process is in-control. What is the lower control limit (LCL) for this chart?

A) 47.60
B) 56.15
C) 57.15
D) 58.05
Question
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
<strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the supervisor constructs an   chart to see if the process is in-control. Which expression best describes this chart?</strong> A) Decreasing trend B) Hugging the center line C) Increasing trend D) Cycles <div style=padding-top: 35px> She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, suppose the supervisor constructs an <strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the supervisor constructs an   chart to see if the process is in-control. Which expression best describes this chart?</strong> A) Decreasing trend B) Hugging the center line C) Increasing trend D) Cycles <div style=padding-top: 35px> chart to see if the process is in-control. Which expression best describes this chart?

A) Decreasing trend
B) Hugging the center line
C) Increasing trend
D) Cycles
Question
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
<strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the supervisor constructs an R chart to see if the variability in collection times is in-control. This R chart is characterized by which of the following?</strong> A) Jump in the level around which the observations vary B) Increasing trend C) Cycles D) Hugging the control limits <div style=padding-top: 35px> She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, suppose the supervisor constructs an R chart to see if the variability in collection times is in-control. This R chart is characterized by which of the following?

A) Jump in the level around which the observations vary
B) Increasing trend
C) Cycles
D) Hugging the control limits
Question
TABLE 17-2
A political pollster randomly selects a sample of 100 voters each day for 8 successive days and asks how many will vote for the incumbent. The pollster wishes to construct a p chart to see if the percentage favoring the incumbent candidate is too erratic.
<strong>TABLE 17-2 A political pollster randomly selects a sample of 100 voters each day for 8 successive days and asks how many will vote for the incumbent. The pollster wishes to construct a p chart to see if the percentage favoring the incumbent candidate is too erratic.   Referring to Table 17-2, which expression best characterizes the p chart?</strong> A) Hugging the center line B) Cycles C) Hugging the control line D) Individual outliers <div style=padding-top: 35px>
Referring to Table 17-2, which expression best characterizes the p chart?

A) Hugging the center line
B) Cycles
C) Hugging the control line
D) Individual outliers
Question
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, what percentage of the time it takes workers to complete an important production task will fall inside the specification limits?<div style=padding-top: 35px> She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, what percentage of the time it takes workers to complete an important production task will fall inside the specification limits?
Question
TABLE 17-3
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
<strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an   chart to see if the production process is in-control. What is the center line for this chart?</strong> A) 64.3 B) 59.5 C) 58.0 D) 57.1 <div style=padding-top: 35px>
Referring to Table 17-3, suppose the analyst constructs an <strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an   chart to see if the production process is in-control. What is the center line for this chart?</strong> A) 64.3 B) 59.5 C) 58.0 D) 57.1 <div style=padding-top: 35px> chart to see if the production process is in-control. What is the center line for this chart?

A) 64.3
B) 59.5
C) 58.0
D) 57.1
Question
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
<strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the supervisor constructs an   chart to see if the process is in-control. What is the center line of the chart?</strong> A) 20.00 B) 20.26 C) 21.00 D) 24.26 <div style=padding-top: 35px> She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, suppose the supervisor constructs an <strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the supervisor constructs an   chart to see if the process is in-control. What is the center line of the chart?</strong> A) 20.00 B) 20.26 C) 21.00 D) 24.26 <div style=padding-top: 35px> chart to see if the process is in-control. What is the center line of the chart?

A) 20.00
B) 20.26
C) 21.00
D) 24.26
Question
TABLE 17-3
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
<strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an R chart to see if the variability in production times is in-control. What is the center line of this R chart?</strong> A) 4.8 B) 6.0 C) 6.9 D) 7.1 <div style=padding-top: 35px>
Referring to Table 17-3, suppose the analyst constructs an R chart to see if the variability in production times is in-control. What is the center line of this R chart?

A) 4.8
B) 6.0
C) 6.9
D) 7.1
Question
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
<strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the sample mean and range data were based on 6 observations per hour instead of 5. How would this change affect the lower and upper control limits of an R chart?</strong> A) LCL would increase; UCL would decrease. B) LCL would remain the same; UCL would decrease. C) Both LCL and UCL would remain the same. D) LCL would decrease; UCL would increase. <div style=padding-top: 35px> She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, suppose the sample mean and range data were based on 6 observations per hour instead of 5. How would this change affect the lower and upper control limits of an R chart?

A) LCL would increase; UCL would decrease.
B) LCL would remain the same; UCL would decrease.
C) Both LCL and UCL would remain the same.
D) LCL would decrease; UCL would increase.
Question
In the United States, the control limits on a control chart are placed so that they are 3 standard deviations above and below a central line.
Question
Changes in the system to reduce common cause variation are the responsibility of management.
Question
The cause of variation that can be reduced only by changing the system is ________ cause variation.
Question
TABLE 17-5
A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.
TABLE 17-5 A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.   Referring to Table 17-5, a p control chart is to be made for these data. The center line of the control chart is ________.<div style=padding-top: 35px>
Referring to Table 17-5, a p control chart is to be made for these data. The center line of the control chart is ________.
Question
The control limits are based on the standard deviation of the process.
Question
________ causes of variation are correctable without modifying the system.
Question
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, what is the value of the CPU index?<div style=padding-top: 35px> She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, what is the value of the CPU index?
Question
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, what is the value of the CPL index?<div style=padding-top: 35px> She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, what is the value of the CPL index?
Question
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, what is the value of the C<sub>p</sub> index?<div style=padding-top: 35px> She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, what is the value of the Cp index?
Question
The p chart is a control chart used for monitoring the proportion of items in a batch that meet given specifications.
Question
Common causes of variation represent variation due to the inherent variability in the system.
Question
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, what is the value of the C<sub>pk</sub> index?<div style=padding-top: 35px> She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, what is the value of the Cpk index?
Question
Common causes of variation are correctable without modifying the system.
Question
TABLE 17-5
A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.
TABLE 17-5 A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.   Referring to Table 17-5, the best estimate of the average proportion of disks with bad sectors is ________.<div style=padding-top: 35px>
Referring to Table 17-5, the best estimate of the average proportion of disks with bad sectors is ________.
Question
It is not possible for the It is not possible for the   chart to be out-of-control when the R chart is in control.<div style=padding-top: 35px> chart to be out-of-control when the R chart is in control.
Question
Special or assignable causes of variation are signaled by individual fluctuations or patterns in the data.
Question
The R chart is a control chart used to monitor a process mean.
Question
The purpose of a control chart is to eliminate common cause variation.
Question
One of the morals of the red bead experiment is that variation is part of any process.
Question
TABLE 17-5
A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.
TABLE 17-5 A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.   Referring to Table 17-5, a p control chart is to be made for these data. The estimate of the standard error of the proportion of disks with bad sectors is ________.<div style=padding-top: 35px>
Referring to Table 17-5, a p control chart is to be made for these data. The estimate of the standard error of the proportion of disks with bad sectors is ________.
Question
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. The lower control limit for this data set is ________.<div style=padding-top: 35px> She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. The lower control limit for this data set is ________.
Question
TABLE 17-5
A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.
TABLE 17-5 A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.   Referring to Table 17-5, a p control chart is to be made for these data. The upper control limit is ________, and the lower control limit is ________.<div style=padding-top: 35px>
Referring to Table 17-5, a p control chart is to be made for these data. The upper control limit is ________, and the lower control limit is ________.
Question
TABLE 17-5
A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.
TABLE 17-5 A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.   Referring to Table 17-5, the process seems to be in control.<div style=padding-top: 35px>
Referring to Table 17-5, the process seems to be in control.
Question
TABLE 17-6
The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.
TABLE 17-6 The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.   Referring to Table 17-6, a p control chart is to be constructed for these data. The center line for the chart should be located at ________.<div style=padding-top: 35px>
Referring to Table 17-6, a p control chart is to be constructed for these data. The center line for the chart should be located at ________.
Question
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an   chart is to be used for the number of blemishes. The lower control limit for this data set is ________, while the upper control limit is ________.<div style=padding-top: 35px> She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, an TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an   chart is to be used for the number of blemishes. The lower control limit for this data set is ________, while the upper control limit is ________.<div style=padding-top: 35px> chart is to be used for the number of blemishes. The lower control limit for this data set is ________, while the upper control limit is ________.
Question
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. One way to create the lower control limit involves multiplying the average of the sample ranges by D<sub>3</sub>. For this data set, the value of D<sub>3</sub> is ________.<div style=padding-top: 35px> She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. One way to create the lower control limit involves multiplying the average of the sample ranges by D3. For this data set, the value of D3 is ________.
Question
TABLE 17-6
The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.
TABLE 17-6 The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.   Referring to Table 17-6, construct a p control chart for these data.<div style=padding-top: 35px>
Referring to Table 17-6, construct a p control chart for these data.
Question
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. The upper control limit for this data set is ________.<div style=padding-top: 35px> She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. The upper control limit for this data set is ________.
Question
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, based on the   chart for the number of blemishes, it appears that the process is out of control.<div style=padding-top: 35px> She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, based on the TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, based on the   chart for the number of blemishes, it appears that the process is out of control.<div style=padding-top: 35px> chart for the number of blemishes, it appears that the process is out of control.
Question
TABLE 17-6
The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.
TABLE 17-6 The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.   Referring to Table 17-6, the estimate of the proportion of poor quality bags of candy is ________.<div style=padding-top: 35px>
Referring to Table 17-6, the estimate of the proportion of poor quality bags of candy is ________.
Question
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an   chart is to be used for the number of blemishes. The center line of this chart is located at ________.<div style=padding-top: 35px> She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, an TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an   chart is to be used for the number of blemishes. The center line of this chart is located at ________.<div style=padding-top: 35px> chart is to be used for the number of blemishes. The center line of this chart is located at ________.
Question
TABLE 17-6
The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.
TABLE 17-6 The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.   Referring to Table 17-6, a p control chart is to be constructed for these data. The estimate of the standard error of the sample proportion is ________.<div style=padding-top: 35px>
Referring to Table 17-6, a p control chart is to be constructed for these data. The estimate of the standard error of the sample proportion is ________.
Question
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. One way to create the upper control limit involves multiplying the average of the sample ranges by D<sub>4</sub>. For this data set, the value of D<sub>4</sub> is ________.<div style=padding-top: 35px> She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. One way to create the upper control limit involves multiplying the average of the sample ranges by D4. For this data set, the value of D4 is ________.
Question
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an   chart is to be used for the number of blemishes. One way to obtain the control limits is to take the grand mean and add and subtract the product of A<sub>2</sub> times the average of the sample ranges. For this data set, the value of A<sub>2</sub> is ________.<div style=padding-top: 35px> She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, an TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an   chart is to be used for the number of blemishes. One way to obtain the control limits is to take the grand mean and add and subtract the product of A<sub>2</sub> times the average of the sample ranges. For this data set, the value of A<sub>2</sub> is ________.<div style=padding-top: 35px> chart is to be used for the number of blemishes. One way to obtain the control limits is to take the grand mean and add and subtract the product of A2 times the average of the sample ranges. For this data set, the value of A2 is ________.
Question
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, construct an   chart for the number of blemishes.<div style=padding-top: 35px> She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, construct an TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, construct an   chart for the number of blemishes.<div style=padding-top: 35px> chart for the number of blemishes.
Question
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. The center line of this R chart is located at ________.<div style=padding-top: 35px> She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. The center line of this R chart is located at ________.
Question
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, based on the R chart, it appears that the process is out of control.<div style=padding-top: 35px> She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, based on the R chart, it appears that the process is out of control.
Question
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, construct an R chart for the number of blemishes.<div style=padding-top: 35px> She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, construct an R chart for the number of blemishes.
Question
TABLE 17-5
A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.
TABLE 17-5 A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.   Referring to Table 17-5, construct a p control chart for these data.<div style=padding-top: 35px>
Referring to Table 17-5, construct a p control chart for these data.
Question
TABLE 17-6
The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.
TABLE 17-6 The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.   Referring to Table 17-6, a p control chart is to be constructed for these data. The lower control limit is ________, while the upper control limit is ________.<div style=padding-top: 35px>
Referring to Table 17-6, a p control chart is to be constructed for these data. The lower control limit is ________, while the upper control limit is ________.
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Deck 17: Statistical Applications in Quality Management
1
TABLE 17-2
A political pollster randomly selects a sample of 100 voters each day for 8 successive days and asks how many will vote for the incumbent. The pollster wishes to construct a p chart to see if the percentage favoring the incumbent candidate is too erratic.
<strong>TABLE 17-2 A political pollster randomly selects a sample of 100 voters each day for 8 successive days and asks how many will vote for the incumbent. The pollster wishes to construct a p chart to see if the percentage favoring the incumbent candidate is too erratic.   Referring to Table 17-2, what is the numerical value of the center line for the p chart?</strong> A) 0.53 B) 0.56 C) 0.63 D) 0.66
Referring to Table 17-2, what is the numerical value of the center line for the p chart?

A) 0.53
B) 0.56
C) 0.63
D) 0.66
0.56
2
Which of the following is not one of Deming's 14 points?

A) Create constancy of purpose for improvement of product or service.
B) Award business on the basis of price tag alone.
C) Break down barriers between staff areas.
D) Drive out fear.
Award business on the basis of price tag alone.
3
Which of the following is not one of Deming's 14 points?

A) Belief in mass inspection.
B) Create constancy of purpose for improvement of product or service.
C) Adopt and institute leadership.
D) Drive out fear.
Belief in mass inspection.
4
Once the control limits are set for a control chart, one attempts to

A) discern patterns that might exist in values over time.
B) determine whether any points fall outside the control limits.
C) Both of the above.
D) None of the above.
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5
Which of the following situations suggests a process that appears to be operating out of statistical control?

A) A control chart with a series of consecutive points that are above the center line and a series of consecutive points that are below the center line.
B) A control chart in which points fall outside the lower control limit.
C) A control chart in which several points fall outside the upper control limit.
D) All of the above.
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6
One of the morals of the red bead experiment is:

A) variation is part of the process.
B) only management can change the system.
C) it is the system that primarily determines performance.
D) All of the above.
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7
The Shewhart-Deming cycle plays an important role in which of the following Deming's 14 points for management?

A) Adopt the new philosophy.
B) Break down barriers between staff areas.
C) Create constancy of purpose for improvement of product and services.
D) Eliminate slogans, exhortation, and targets for the workforce.
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8
TABLE 17-1
A local newspaper has 10 delivery boys who each deliver the morning paper to 50 customers every day. The owner decides to record the number of papers delivered on time for a 10-day period and construct a p chart to see whether the percentage is too erratic.
<strong>TABLE 17-1 A local newspaper has 10 delivery boys who each deliver the morning paper to 50 customers every day. The owner decides to record the number of papers delivered on time for a 10-day period and construct a p chart to see whether the percentage is too erratic.   Referring to Table 17-1, what is the numerical value of the lower control limit for the p chart?</strong> A) 0.920 B) 0.911 C) 0.815 D) 0.798
Referring to Table 17-1, what is the numerical value of the lower control limit for the p chart?

A) 0.920
B) 0.911
C) 0.815
D) 0.798
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9
TABLE 17-1
A local newspaper has 10 delivery boys who each deliver the morning paper to 50 customers every day. The owner decides to record the number of papers delivered on time for a 10-day period and construct a p chart to see whether the percentage is too erratic.
<strong>TABLE 17-1 A local newspaper has 10 delivery boys who each deliver the morning paper to 50 customers every day. The owner decides to record the number of papers delivered on time for a 10-day period and construct a p chart to see whether the percentage is too erratic.   Referring to Table 17-1, what is the numerical value of the center line for the p chart?</strong> A) 0.926 B) 0.911 C) 0.885 D) 0.500
Referring to Table 17-1, what is the numerical value of the center line for the p chart?

A) 0.926
B) 0.911
C) 0.885
D) 0.500
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10
TABLE 17-1
A local newspaper has 10 delivery boys who each deliver the morning paper to 50 customers every day. The owner decides to record the number of papers delivered on time for a 10-day period and construct a p chart to see whether the percentage is too erratic.
<strong>TABLE 17-1 A local newspaper has 10 delivery boys who each deliver the morning paper to 50 customers every day. The owner decides to record the number of papers delivered on time for a 10-day period and construct a p chart to see whether the percentage is too erratic.   Referring to Table 17-1, what is the numerical value of the upper control limit for the p chart?</strong> A) 0.926 B) 0.961 C) 0.979 D) 1.037
Referring to Table 17-1, what is the numerical value of the upper control limit for the p chart?

A) 0.926
B) 0.961
C) 0.979
D) 1.037
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11
The principal focus of the control chart is the attempt to separate special or assignable causes of variation from common causes of variation. What cause of variation can be reduced only by changing the system?

A) special or assignable causes
B) common causes
C) total causes
D) None of the above.
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12
TABLE 17-1
A local newspaper has 10 delivery boys who each deliver the morning paper to 50 customers every day. The owner decides to record the number of papers delivered on time for a 10-day period and construct a p chart to see whether the percentage is too erratic.
<strong>TABLE 17-1 A local newspaper has 10 delivery boys who each deliver the morning paper to 50 customers every day. The owner decides to record the number of papers delivered on time for a 10-day period and construct a p chart to see whether the percentage is too erratic.   Referring to Table 17-1, which expression best characterizes the p chart?</strong> A) cycles B) increasing trend C) in-control D) individual outliers
Referring to Table 17-1, which expression best characterizes the p chart?

A) cycles
B) increasing trend
C) in-control
D) individual outliers
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13
The control chart

A) focuses on the time dimension of a system.
B) captures the natural variability in the system.
C) can be used for categorical, discrete, or continuous variables.
D) All of the above.
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14
Which of the following is not part of the Shewhart-Deming cycle?

A) plan
B) do
C) react
D) act
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15
Which of the following situations suggests a process that appears to be operating in a state of statistical control?

A) A control chart with a series of consecutive points that are above the center line and a series of consecutive points that are below the center line.
B) A control chart in which no points fall outside either the upper control limit or the lower control limit and no patterns are present.
C) A control chart in which several points fall outside the upper control limit.
D) All of the above.
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16
Variation due to the inherent variability in a system of operation is called

A) special or assignable causes.
B) common or chance causes.
C) explained variation.
D) the standard deviation.
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17
Variation signaled by individual fluctuations or patterns in the data is called

A) special or assignable causes.
B) common or chance causes.
C) explained variation.
D) the standard deviation.
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18
A process is said to be out of control if

A) a point falls above the upper or below the lower control lines.
B) eight or more consecutive points fall above the center line or eight or more consecutive points fall below the center line.
C) Either of the above.
D) None of the above.
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19
TABLE 17-2
A political pollster randomly selects a sample of 100 voters each day for 8 successive days and asks how many will vote for the incumbent. The pollster wishes to construct a p chart to see if the percentage favoring the incumbent candidate is too erratic.
<strong>TABLE 17-2 A political pollster randomly selects a sample of 100 voters each day for 8 successive days and asks how many will vote for the incumbent. The pollster wishes to construct a p chart to see if the percentage favoring the incumbent candidate is too erratic.   Referring to Table 17-2, what is the numerical value of the lower control limit for the p chart?</strong> A) 0.37 B) 0.41 C) 0.50 D) 0.71
Referring to Table 17-2, what is the numerical value of the lower control limit for the p chart?

A) 0.37
B) 0.41
C) 0.50
D) 0.71
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20
Which famous statistician developed the 14 Points of Quality?

A) Shewhart
B) Deming
C) Chebyshev
D) Taguchi
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21
TABLE 17-3
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
<strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an R chart to see if the variability in production times is in-control. What is the upper control limit for this R chart?</strong> A) 10.66 B) 9.37 C) 7.98 D) 6.34
Referring to Table 17-3, suppose the analyst constructs an R chart to see if the variability in production times is in-control. What is the upper control limit for this R chart?

A) 10.66
B) 9.37
C) 7.98
D) 6.34
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22
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, what is the value of d<sub>2</sub> factor? She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, what is the value of d2 factor?
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23
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
<strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the supervisor constructs an R chart to see if the variability in collection times is in-control. What is the center line of this R chart?</strong> A) 20.00 B) 20.56 C) 20.40 D) 24.00 She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, suppose the supervisor constructs an R chart to see if the variability in collection times is in-control. What is the center line of this R chart?

A) 20.00
B) 20.56
C) 20.40
D) 24.00
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24
TABLE 17-3
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
<strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the sample mean and range data were based on 11 observations per day instead of 10. How would this change affect the lower and upper control limits of the R chart?</strong> A) LCL would increase; UCL would decrease. B) LCL would remain the same; UCL would decrease. C) Both LCL and UCL would remain the same. D) LCL would decrease; UCL would increase.
Referring to Table 17-3, suppose the sample mean and range data were based on 11 observations per day instead of 10. How would this change affect the lower and upper control limits of the R chart?

A) LCL would increase; UCL would decrease.
B) LCL would remain the same; UCL would decrease.
C) Both LCL and UCL would remain the same.
D) LCL would decrease; UCL would increase.
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25
TABLE 17-3
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
<strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an R chart to see if the variability in production times is in-control. What is the lower control limit for this R chart?</strong> A) 4.84 B) 3.37 C) 2.98 D) 1.34
Referring to Table 17-3, suppose the analyst constructs an R chart to see if the variability in production times is in-control. What is the lower control limit for this R chart?

A) 4.84
B) 3.37
C) 2.98
D) 1.34
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26
TABLE 17-3
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
<strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an R chart to see if the variability in production times is in-control. The R chart is characterized by which of the following?</strong> A) Increasing trend B) Jump in the level around which the observations vary C) Hugging the center line D) Hugging the control limits
Referring to Table 17-3, suppose the analyst constructs an R chart to see if the variability in production times is in-control. The R chart is characterized by which of the following?

A) Increasing trend
B) Jump in the level around which the observations vary
C) Hugging the center line
D) Hugging the control limits
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27
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
<strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the supervisor constructs an   chart to see if the process is in-control. What are the lower and upper control limits of this chart?</strong> A) 10.00, 30.00 B) 8.49, 32.03 C) 5.39, 35.13 D) 4.96, 35.56 She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, suppose the supervisor constructs an <strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the supervisor constructs an   chart to see if the process is in-control. What are the lower and upper control limits of this chart?</strong> A) 10.00, 30.00 B) 8.49, 32.03 C) 5.39, 35.13 D) 4.96, 35.56 chart to see if the process is in-control. What are the lower and upper control limits of this chart?

A) 10.00, 30.00
B) 8.49, 32.03
C) 5.39, 35.13
D) 4.96, 35.56
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28
TABLE 17-2
A political pollster randomly selects a sample of 100 voters each day for 8 successive days and asks how many will vote for the incumbent. The pollster wishes to construct a p chart to see if the percentage favoring the incumbent candidate is too erratic.
<strong>TABLE 17-2 A political pollster randomly selects a sample of 100 voters each day for 8 successive days and asks how many will vote for the incumbent. The pollster wishes to construct a p chart to see if the percentage favoring the incumbent candidate is too erratic.   Referring to Table 17-2, what is the numerical value of the upper control limit for the p chart?</strong> A) 0.92 B) 0.89 C) 0.71 D) 0.62
Referring to Table 17-2, what is the numerical value of the upper control limit for the p chart?

A) 0.92
B) 0.89
C) 0.71
D) 0.62
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29
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
<strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the supervisor constructs an R chart to see if the variability in collection times is in-control. What are the lower and upper control limits for this R chart?</strong> A) -2.33, 43.13 B) -2.28, 42.28 C) 0, 42.28 D) 0, 43.13 She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, suppose the supervisor constructs an R chart to see if the variability in collection times is in-control. What are the lower and upper control limits for this R chart?

A) -2.33, 43.13
B) -2.28, 42.28
C) 0, 42.28
D) 0, 43.13
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30
TABLE 17-3
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
<strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an   chart to see if the production process is in-control. Which expression best describes this chart?</strong> A) In-control B) Increasing trend C) Hugging the center line D) Individual outliers
Referring to Table 17-3, suppose the analyst constructs an <strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an   chart to see if the production process is in-control. Which expression best describes this chart?</strong> A) In-control B) Increasing trend C) Hugging the center line D) Individual outliers chart to see if the production process is in-control. Which expression best describes this chart?

A) In-control
B) Increasing trend
C) Hugging the center line
D) Individual outliers
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31
TABLE 17-3
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
<strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an   chart to see if the production process is in-control. What is the upper control limit (UCL) for this chart?</strong> A) 62.15 B) 60.95 C) 59.85 D) 58.75
Referring to Table 17-3, suppose the analyst constructs an <strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an   chart to see if the production process is in-control. What is the upper control limit (UCL) for this chart?</strong> A) 62.15 B) 60.95 C) 59.85 D) 58.75 chart to see if the production process is in-control. What is the upper control limit (UCL) for this chart?

A) 62.15
B) 60.95
C) 59.85
D) 58.75
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32
TABLE 17-3
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
<strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an   chart to see if the production process is in-control. What is the lower control limit (LCL) for this chart?</strong> A) 47.60 B) 56.15 C) 57.15 D) 58.05
Referring to Table 17-3, suppose the analyst constructs an <strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an   chart to see if the production process is in-control. What is the lower control limit (LCL) for this chart?</strong> A) 47.60 B) 56.15 C) 57.15 D) 58.05 chart to see if the production process is in-control. What is the lower control limit (LCL) for this chart?

A) 47.60
B) 56.15
C) 57.15
D) 58.05
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33
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
<strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the supervisor constructs an   chart to see if the process is in-control. Which expression best describes this chart?</strong> A) Decreasing trend B) Hugging the center line C) Increasing trend D) Cycles She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, suppose the supervisor constructs an <strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the supervisor constructs an   chart to see if the process is in-control. Which expression best describes this chart?</strong> A) Decreasing trend B) Hugging the center line C) Increasing trend D) Cycles chart to see if the process is in-control. Which expression best describes this chart?

A) Decreasing trend
B) Hugging the center line
C) Increasing trend
D) Cycles
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34
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
<strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the supervisor constructs an R chart to see if the variability in collection times is in-control. This R chart is characterized by which of the following?</strong> A) Jump in the level around which the observations vary B) Increasing trend C) Cycles D) Hugging the control limits She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, suppose the supervisor constructs an R chart to see if the variability in collection times is in-control. This R chart is characterized by which of the following?

A) Jump in the level around which the observations vary
B) Increasing trend
C) Cycles
D) Hugging the control limits
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35
TABLE 17-2
A political pollster randomly selects a sample of 100 voters each day for 8 successive days and asks how many will vote for the incumbent. The pollster wishes to construct a p chart to see if the percentage favoring the incumbent candidate is too erratic.
<strong>TABLE 17-2 A political pollster randomly selects a sample of 100 voters each day for 8 successive days and asks how many will vote for the incumbent. The pollster wishes to construct a p chart to see if the percentage favoring the incumbent candidate is too erratic.   Referring to Table 17-2, which expression best characterizes the p chart?</strong> A) Hugging the center line B) Cycles C) Hugging the control line D) Individual outliers
Referring to Table 17-2, which expression best characterizes the p chart?

A) Hugging the center line
B) Cycles
C) Hugging the control line
D) Individual outliers
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36
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, what percentage of the time it takes workers to complete an important production task will fall inside the specification limits? She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, what percentage of the time it takes workers to complete an important production task will fall inside the specification limits?
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37
TABLE 17-3
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
<strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an   chart to see if the production process is in-control. What is the center line for this chart?</strong> A) 64.3 B) 59.5 C) 58.0 D) 57.1
Referring to Table 17-3, suppose the analyst constructs an <strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an   chart to see if the production process is in-control. What is the center line for this chart?</strong> A) 64.3 B) 59.5 C) 58.0 D) 57.1 chart to see if the production process is in-control. What is the center line for this chart?

A) 64.3
B) 59.5
C) 58.0
D) 57.1
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38
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
<strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the supervisor constructs an   chart to see if the process is in-control. What is the center line of the chart?</strong> A) 20.00 B) 20.26 C) 21.00 D) 24.26 She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, suppose the supervisor constructs an <strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the supervisor constructs an   chart to see if the process is in-control. What is the center line of the chart?</strong> A) 20.00 B) 20.26 C) 21.00 D) 24.26 chart to see if the process is in-control. What is the center line of the chart?

A) 20.00
B) 20.26
C) 21.00
D) 24.26
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39
TABLE 17-3
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
<strong>TABLE 17-3 A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic. Accordingly, the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.   Referring to Table 17-3, suppose the analyst constructs an R chart to see if the variability in production times is in-control. What is the center line of this R chart?</strong> A) 4.8 B) 6.0 C) 6.9 D) 7.1
Referring to Table 17-3, suppose the analyst constructs an R chart to see if the variability in production times is in-control. What is the center line of this R chart?

A) 4.8
B) 6.0
C) 6.9
D) 7.1
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40
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
<strong>TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, suppose the sample mean and range data were based on 6 observations per hour instead of 5. How would this change affect the lower and upper control limits of an R chart?</strong> A) LCL would increase; UCL would decrease. B) LCL would remain the same; UCL would decrease. C) Both LCL and UCL would remain the same. D) LCL would decrease; UCL would increase. She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, suppose the sample mean and range data were based on 6 observations per hour instead of 5. How would this change affect the lower and upper control limits of an R chart?

A) LCL would increase; UCL would decrease.
B) LCL would remain the same; UCL would decrease.
C) Both LCL and UCL would remain the same.
D) LCL would decrease; UCL would increase.
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41
In the United States, the control limits on a control chart are placed so that they are 3 standard deviations above and below a central line.
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42
Changes in the system to reduce common cause variation are the responsibility of management.
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43
The cause of variation that can be reduced only by changing the system is ________ cause variation.
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44
TABLE 17-5
A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.
TABLE 17-5 A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.   Referring to Table 17-5, a p control chart is to be made for these data. The center line of the control chart is ________.
Referring to Table 17-5, a p control chart is to be made for these data. The center line of the control chart is ________.
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45
The control limits are based on the standard deviation of the process.
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46
________ causes of variation are correctable without modifying the system.
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47
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, what is the value of the CPU index? She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, what is the value of the CPU index?
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48
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, what is the value of the CPL index? She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, what is the value of the CPL index?
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49
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, what is the value of the C<sub>p</sub> index? She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, what is the value of the Cp index?
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50
The p chart is a control chart used for monitoring the proportion of items in a batch that meet given specifications.
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51
Common causes of variation represent variation due to the inherent variability in the system.
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52
TABLE 17-4
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.
TABLE 17-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits. The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours. The sample mean and range for each hour are listed below.   She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. Referring to Table 17-4, what is the value of the C<sub>pk</sub> index? She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively.
Referring to Table 17-4, what is the value of the Cpk index?
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53
Common causes of variation are correctable without modifying the system.
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54
TABLE 17-5
A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.
TABLE 17-5 A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.   Referring to Table 17-5, the best estimate of the average proportion of disks with bad sectors is ________.
Referring to Table 17-5, the best estimate of the average proportion of disks with bad sectors is ________.
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55
It is not possible for the It is not possible for the   chart to be out-of-control when the R chart is in control. chart to be out-of-control when the R chart is in control.
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56
Special or assignable causes of variation are signaled by individual fluctuations or patterns in the data.
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57
The R chart is a control chart used to monitor a process mean.
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58
The purpose of a control chart is to eliminate common cause variation.
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59
One of the morals of the red bead experiment is that variation is part of any process.
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60
TABLE 17-5
A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.
TABLE 17-5 A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.   Referring to Table 17-5, a p control chart is to be made for these data. The estimate of the standard error of the proportion of disks with bad sectors is ________.
Referring to Table 17-5, a p control chart is to be made for these data. The estimate of the standard error of the proportion of disks with bad sectors is ________.
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61
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. The lower control limit for this data set is ________. She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. The lower control limit for this data set is ________.
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62
TABLE 17-5
A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.
TABLE 17-5 A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.   Referring to Table 17-5, a p control chart is to be made for these data. The upper control limit is ________, and the lower control limit is ________.
Referring to Table 17-5, a p control chart is to be made for these data. The upper control limit is ________, and the lower control limit is ________.
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63
TABLE 17-5
A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.
TABLE 17-5 A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.   Referring to Table 17-5, the process seems to be in control.
Referring to Table 17-5, the process seems to be in control.
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64
TABLE 17-6
The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.
TABLE 17-6 The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.   Referring to Table 17-6, a p control chart is to be constructed for these data. The center line for the chart should be located at ________.
Referring to Table 17-6, a p control chart is to be constructed for these data. The center line for the chart should be located at ________.
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65
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an   chart is to be used for the number of blemishes. The lower control limit for this data set is ________, while the upper control limit is ________. She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, an TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an   chart is to be used for the number of blemishes. The lower control limit for this data set is ________, while the upper control limit is ________. chart is to be used for the number of blemishes. The lower control limit for this data set is ________, while the upper control limit is ________.
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66
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. One way to create the lower control limit involves multiplying the average of the sample ranges by D<sub>3</sub>. For this data set, the value of D<sub>3</sub> is ________. She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. One way to create the lower control limit involves multiplying the average of the sample ranges by D3. For this data set, the value of D3 is ________.
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67
TABLE 17-6
The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.
TABLE 17-6 The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.   Referring to Table 17-6, construct a p control chart for these data.
Referring to Table 17-6, construct a p control chart for these data.
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68
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. The upper control limit for this data set is ________. She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. The upper control limit for this data set is ________.
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69
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, based on the   chart for the number of blemishes, it appears that the process is out of control. She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, based on the TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, based on the   chart for the number of blemishes, it appears that the process is out of control. chart for the number of blemishes, it appears that the process is out of control.
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70
TABLE 17-6
The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.
TABLE 17-6 The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.   Referring to Table 17-6, the estimate of the proportion of poor quality bags of candy is ________.
Referring to Table 17-6, the estimate of the proportion of poor quality bags of candy is ________.
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71
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an   chart is to be used for the number of blemishes. The center line of this chart is located at ________. She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, an TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an   chart is to be used for the number of blemishes. The center line of this chart is located at ________. chart is to be used for the number of blemishes. The center line of this chart is located at ________.
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72
TABLE 17-6
The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.
TABLE 17-6 The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.   Referring to Table 17-6, a p control chart is to be constructed for these data. The estimate of the standard error of the sample proportion is ________.
Referring to Table 17-6, a p control chart is to be constructed for these data. The estimate of the standard error of the sample proportion is ________.
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73
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. One way to create the upper control limit involves multiplying the average of the sample ranges by D<sub>4</sub>. For this data set, the value of D<sub>4</sub> is ________. She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. One way to create the upper control limit involves multiplying the average of the sample ranges by D4. For this data set, the value of D4 is ________.
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74
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an   chart is to be used for the number of blemishes. One way to obtain the control limits is to take the grand mean and add and subtract the product of A<sub>2</sub> times the average of the sample ranges. For this data set, the value of A<sub>2</sub> is ________. She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, an TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an   chart is to be used for the number of blemishes. One way to obtain the control limits is to take the grand mean and add and subtract the product of A<sub>2</sub> times the average of the sample ranges. For this data set, the value of A<sub>2</sub> is ________. chart is to be used for the number of blemishes. One way to obtain the control limits is to take the grand mean and add and subtract the product of A2 times the average of the sample ranges. For this data set, the value of A2 is ________.
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75
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, construct an   chart for the number of blemishes. She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, construct an TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, construct an   chart for the number of blemishes. chart for the number of blemishes.
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76
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. The center line of this R chart is located at ________. She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, an R chart is to be constructed for the number of blemishes. The center line of this R chart is located at ________.
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77
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, based on the R chart, it appears that the process is out of control. She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, based on the R chart, it appears that the process is out of control.
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78
TABLE 17-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
TABLE 17-7 A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.   She also decides that the upper specification limit is 10 blemishes. Referring to Table 17-7, construct an R chart for the number of blemishes. She also decides that the upper specification limit is 10 blemishes.
Referring to Table 17-7, construct an R chart for the number of blemishes.
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79
TABLE 17-5
A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.
TABLE 17-5 A manufacturer of computer disks took samples of 240 disks on 15 consecutive days. The number of disks with bad sectors was determined for each of these samples. The results are in the table that follows.   Referring to Table 17-5, construct a p control chart for these data.
Referring to Table 17-5, construct a p control chart for these data.
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80
TABLE 17-6
The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.
TABLE 17-6 The maker of a packaged candy wants to evaluate the quality of her production process. On each of 16 consecutive days, she samples 600 bags of candy and determines the number in each day's sample that she considers to be of poor quality. The data that she developed follow.   Referring to Table 17-6, a p control chart is to be constructed for these data. The lower control limit is ________, while the upper control limit is ________.
Referring to Table 17-6, a p control chart is to be constructed for these data. The lower control limit is ________, while the upper control limit is ________.
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