Deck 14: Statistical Methods for Quality Control

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Question
A control chart that is used when the output of a production process is measured in terms of the proportion defective is

A)a p chart
B)an x-bar chart
C)an R chart
D)an np chart
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Question
Normal or natural variation in the quality of production output that is due purely to chance is called

A)common-cause variation
B)assignable-cause variation
C)control-cause variation
D)correctable-cause variation
Question
The sample result plotted on an np control chart is

A)np
B)np
C)the number of perfect units in the sample
D)the number of defective units in the sample
Question
A control chart that is used to monitor the range of the measurements in a sample is

A)a p chart
B)an x-bar chart
C)an R chart
D)an np chart
Question
Quality assurance consists of

A)quality control
B)quality engineering
C)quality assurance
D)Both quality control and quality engineering are correct.
Question
A control chart used when the output of a process is measured in terms of the mean value of a variable such as a length, weight, temperature, and so on is

A)a p chart
B)an x-bar chart
C)an R chart
D)an np chart
Question
Variation in the quality of production output that is due to factors such as machine tools wearing out is called

A)common-cause variation
B)assignable-cause variation
C)acceptable-cause variation
D)natural-cause variation
Question
A control chart that is used to monitor the number of defectives in a sample is

A)a p chart
B)an x-bar chart
C)an R chart
D)an np chart
Question
If the value of c in a single-stage acceptance sampling plan is increased, with n remaining constant, the probability of accepting the lot

A)increases
B)decreases
C)remains the same
D)might increase or decrease, depending on the percent defective in the lot
Question
The entire system of policies, procedures, and guidelines established by an organization to achieve and maintain quality is called

A)quality control
B)quality engineering
C)quality assurance
D)Both quality control and quality engineering are correct.
Question
An operating characteristic curve is based on a ________ probability distribution.

A)normal
B)exponential
C)binomial
D)uniform
Question
Control charts that are based on data indicating the presence of a defect or the number of defects are called ______ control charts.

A)attributes
B)variables
C)common-cause
D)assignable-cause
Question
Which of the following is not a type of a control chart?

A)a p chart
B)an x-bar chart
C)an R chart
D)All of these are types of control charts.
Question
__________ consist(s) of making a series of inspections and measurements to determine whether quality standards are being met.

A)Quality control
B)Quality engineering
C)Quality assurance
D)Both quality control and quality engineering are correct.
Question
The control limits for a p chart are how many standard deviations above and below the proportion defective?

A)one
B)two
C)three
D)four
Question
The control limits for an x-bar chart are how many standard deviations above and below the process mean?

A)one
B)two
C)three
D)four
Question
The general practice in quality control is to set the control chart's upper and lower control limit values equal to the variable's mean value +/-

A)1 standard deviation
B)2 standard deviations
C)2.5 standard deviations
D)3 standard deviations
Question
A graphical tool used to help determine whether a process is in control or out of control is a

A)scatter diagram
B)histogram
C)control chart
D)None of the other answers is correct.
Question
Which of the following is a statistical method used in quality control?

A)statistical process control
B)acceptance sampling
C)Both statistical process control and acceptance sampling are correct.
D)None of the other answers is correct.
Question
If the calculated lower-control limit of a p chart is negative,

A)a mistake has been made in the calculations
B)use the absolute value of the lower limit
C)it is set to zero
D)None of the other answers is correct.
Question
In contrast to Deming's philosophy, which required a major cultural change in the organization, Juran's programs were designed to improve quality by

A)working within the current organizational system
B)reducing the number of levels in the organizational structure
C)changing customer perception and expectations
D)identifying and replacing the most counter-productive employees
Question
Rejecting a poor-quality lot would be a

A)Type I error
B)Type II error
C)correct decision
D)None of the other answers is correct.
Question
In acceptance sampling, the risk of rejecting a good quality lot is known as

A)consumer's risk
B)producer's risk
C)a Type II error
D)None of the other answers is correct
Question
DFSS stands for

A)Defects Found Sifting and Sorting
B)Design For Six Sigma
C)Deviation From Specifications and Standards
D)Defer For Statistical Study
Question
The control limits for an np chart are how many standard deviations above and below the expected number of defectives?

A)one
B)two
C)three
D)four
Question
When a Motorola executive said "That evaluation is …. perhaps the most cost-effective, value-added business consultation available anywhere in the world today" he was referring to

A)ISO 9000 standards
B)the Six Sigma philosophy
C)Deming's 14 Points
D)the Malcolm Baldrige Quality Award
Question
Consumer's risk is

A)the same concept as the producer's risk
B)a Type II error
C)a Type I error
D)None of the other answers is correct.
Question
A graph showing the probability of accepting the lot as a function of the percent defective in the lot is

A)a power curve
B)a control chart
C)an operating characteristic curve
D)None of the other answers is correct.
Question
A form of acceptance sampling in which more than one sample or stage is used is called a

A)single-sample plan
B)multiple-sampling plan
C)multinomial sampling plan
D)None of the other answers is correct.
Question
The maximum number of defective items that can be found in the sample and still lead to acceptance of the lot is

A)the upper control limit
B)the lower control limit
C)the acceptance criterion
D)None of the other answers is correct.
Question
A group of items such as incoming shipments of raw material is called

A)a sample plan
B)an incoming control
C)a lot
D)None of the other answers is correct.
Question
Accepting a good-quality lot would be a

A)Type I error
B)Type II error
C)correct decision
D)None of the other answers is correct.
Question
In acceptance sampling, the risk of accepting a poor quality lot is known as

A)consumer's risk
B)producer's risk
C)a Type I error
D)None of the other answers is correct.
Question
Juran proposed a simple definition of quality:

A)customer satisfaction
B)conformance to specifications
C)fitness for use
D)commitment to excellence
Question
Six Sigma represents a quality level of at most ____ defects per million opportunities.

A)3.4
B)6.0
C)19.7
D)99.5
Question
The Malcolm Baldrige National Quality Award was established in

A)1954
B)1971
C)1987
D)1993
Question
A statistical procedure in which the number of defective items found in a sample is used to determine whether a lot should be accepted or rejected is called

A)statistical process control
B)acceptance sampling
C)quality assurance
D)control charts
Question
Producer's risk is

A)the same as the consumer's risk
B)a Type II error
C)a Type I error
D)None of the other answers is correct.
Question
The second stage of a two-stage acceptance sampling plan is executed when the first-stage result is

A)x1 > c1
B)c1 < x1 < c2
C)x1 > c2
D)x1 > c1 + c2
Question
The three quality processes on which Juran's approach to quality focused include all of the following except

A)quality planning
B)quality execution
C)quality control
D)quality improvement
Question
A production process that is in control has a mean ( μ\mu ) of 80 and a standard deviation ( σ\sigma ) of 10.
a.Determine the upper and the lower control limits for sample sizes of 25.
b.Five samples had means of 81, 84, 75, 83, and 79. Construct an x-bar chart and explain whether or not the process is in control.
Question
The two general classifications of attributes in quality control are

A)random and predictable
B)controllable and uncontrollable
C)variable and constant
D)defective and nondefective
Question
The following data represent the filling weights based on samples of 14.5 ounce cans of whole peeled tomatoes. Ten samples of size 5 were taken. Use Excel to develop an x-bar chart.
The following data represent the filling weights based on samples of 14.5 ounce cans of whole peeled tomatoes. Ten samples of size 5 were taken. Use Excel to develop an x-bar chart.  <div style=padding-top: 35px>
Question
Process control and acceptance sampling procedures are most closely related to

A)linear regression procedures
B)interval estimation procedures
C)hypothesis testing procedures
D)analysis of variance procedures
Question
A production process is considered in control if 4% of the items produced are defective. Samples of size 100 are used for the inspection process.
a.Determine the standard error of the proportion.
b.Determine the upper and the lower control limits for the p chart.
Question
In practice, it is common to use the sample _____ to estimate the process _________.

A)variances, range
B)means, variance
C)standard deviations, mean
D)ranges, standard deviation
Question
Brakes Shop, Inc., is a franchise that specializes in repairing brake systems of automobiles. The company purchases brake shoes from a national supplier. Currently, lots of 1,000 brake shoes are purchased, and each shoe is inspected before being installed on an automobile. The company has decided, instead of 100% inspection, to adopt an acceptance sampling plan.
a.Explain what is meant by the acceptance sampling plan.
b.If the company decides to adopt an acceptance sampling plan, what kinds of risks are there?
c.The quality control department of the company has decided to select a sample of 10 shoes and inspect them for defects. Furthermore, it has been decided that if the sample contains no defective parts, the entire lot will be accepted. If there are 50 defective shoes in a shipment, what is the probability that the entire lot will be accepted?
d.What is the probability of accepting the lot if there are 100 defective units in the lot?
Question
The upper and lower control limits of a process are 66 and 54. Samples of size 16 are used for the inspection process. Determine the mean and the standard deviation for this process.
Question
A soft drink filling machine is set up to fill bottles with 12 ounces of soft drink. The standard deviation s is known to be 0.4 ounces. The quality control department periodically selects samples of 16 bottles and measures their contents. Assume the distribution of filling volumes is normal.
a.Determine the upper and lower control limits and explain what they indicate.
b.The means of six samples were 11.8, 12.2, 11.9, 11.9, 12.1, and 11.8 ounces. Construct an x-bar chart and indicate whether or not the process is in control.
Question
The quality control department of a company has decided to select a sample of 20 items from each shipment of goods it receives and inspect them for defects. It has been decided that if the sample contains no defective parts, the entire lot will be accepted. Each shipment contains 1,000 items.
a.What is the probability of accepting a lot that contains 10% defective items?
b.What is the probability of accepting a lot that contains 5% defective items?
c.What is the probability of rejecting a lot that contains 15% defective items?
Question
The following data represent the filling weights based on samples of 14.5 ounce cans of whole peeled tomatoes. Ten samples of size 5 were taken. Use Excel to develop an R chart.
The following data represent the filling weights based on samples of 14.5 ounce cans of whole peeled tomatoes. Ten samples of size 5 were taken. Use Excel to develop an R chart.  <div style=padding-top: 35px>
Question
We can examine the effect of the sampling plan on both types of risks by varying the assumed

A)percentage of defective items in the lot
B)number of defective items in the sample
C)probability of accepting the lot
D)number of units in the lot
Question
If the value of c in a single-stage sampling plan is increased, with n remaining constant, the probability of accepting the lot

A)increases
B)decreases
C)is unchanged
D)might increase or decrease, depending on the lot percent defective
Question
Heavy emphasis on statistical analysis and careful measurement are closely associated with

A)Total Quality
B)ISO 9000
C)Baldrige National Quality Program
D)Six Sigma
Question
A production process is considered in control if 6% of the items produced are defective. Samples of size 300 are used for the inspection process.
a.Determine the standard error of the proportion.
b.Determine the upper and the lower control limits for the p chart.
Question
Control charts based on data that can be measured on a continuous scale are called

A)normal control charts
B)variables control charts
C)attributes control charts
D)precision control charts
Question
The process mean and standard deviation can be estimated by using samples that are selected from the process when

A)it has only assignable-cause variation
B)its output is uniformly distributed
C)it is assumed to be operating in control
D)it is operating at peak capacity
Question
The following data represent the filling weights based on samples of 350-gram containers. Ten samples of size 5 were taken. Use Excel to develop an R chart.
The following data represent the filling weights based on samples of 350-gram containers. Ten samples of size 5 were taken. Use Excel to develop an R chart.  <div style=padding-top: 35px>
Question
An acceptance sampling plan uses a sample of 18 with an acceptance criterion of zero. Determine the probability of accepting shipments that contain 5, 10, 15, 20, 25, 30, 35, 40, and 45% defective units.
Question
The following data represent the filling weights based on samples of 350-gram containers. Ten samples of size 5 were taken. Use Excel to develop an x-bar chart.
The following data represent the filling weights based on samples of 350-gram containers. Ten samples of size 5 were taken. Use Excel to develop an x-bar chart.  <div style=padding-top: 35px>
Question
Harry Coates wants to construct Harry Coates wants to construct   and R charts at the bag-filling operation for Meow Chow cat food. He knows that when the filling operation is functioning correctly, bags of cat food should average 50.00 pounds and 5-bag samples should have an average range of .330 pounds. Harry had twenty 5-bag samples taken at 2-hour intervals and the sample means and ranges are shown below. Determine the center lines and upper and lower control limits for the   and R charts.  <div style=padding-top: 35px> and R charts at the bag-filling operation for Meow Chow cat food. He knows that when the filling operation is functioning correctly, bags of cat food should average 50.00 pounds and 5-bag samples should have an average range of .330 pounds.
Harry had twenty 5-bag samples taken at 2-hour intervals and the sample means and ranges are shown below. Determine the center lines and upper and lower control limits for the Harry Coates wants to construct   and R charts at the bag-filling operation for Meow Chow cat food. He knows that when the filling operation is functioning correctly, bags of cat food should average 50.00 pounds and 5-bag samples should have an average range of .330 pounds. Harry had twenty 5-bag samples taken at 2-hour intervals and the sample means and ranges are shown below. Determine the center lines and upper and lower control limits for the   and R charts.  <div style=padding-top: 35px> and R charts.
Harry Coates wants to construct   and R charts at the bag-filling operation for Meow Chow cat food. He knows that when the filling operation is functioning correctly, bags of cat food should average 50.00 pounds and 5-bag samples should have an average range of .330 pounds. Harry had twenty 5-bag samples taken at 2-hour intervals and the sample means and ranges are shown below. Determine the center lines and upper and lower control limits for the   and R charts.  <div style=padding-top: 35px>
Question
To inspect incoming shipments of components, a manufacturer is considering samples of sizes 12, 15, and 18. Use binomial probabilities to select a sampling plan that provides a producer's risk of α\alpha = .12 when p0 is .04 and a consumer's risk of β\beta = .08 when p1 is .25.
Question
Janie Hochevar, director of production at the center, has decided to record the number of defective labels in random daily samples on control charts. Janie estimates that 1.5 percent loose labels is typical when the labeling process is in control.
Twelve daily samples, each consisting of 200 pairs of jeans, were selected and examined. The number of defective labels found in each sample is shown below.
Janie Hochevar, director of production at the center, has decided to record the number of defective labels in random daily samples on control charts. Janie estimates that 1.5 percent loose labels is typical when the labeling process is in control. Twelve daily samples, each consisting of 200 pairs of jeans, were selected and examined. The number of defective labels found in each sample is shown below.   a. Determine the center line and the 3s control limits for the p chart. b. Decide if the labeling operation is in control.<div style=padding-top: 35px>
a. Determine the center line and the 3s control limits for the p chart.
b. Decide if the labeling operation is in control.
Question
The weight of bags of cement filled by Granite Rock Company's packaging process is normally distributed with a mean of 50 pounds and a standard deviation of 1.5 pounds when the process is in control. What should the control limits be for a sample mean, The weight of bags of cement filled by Granite Rock Company's packaging process is normally distributed with a mean of 50 pounds and a standard deviation of 1.5 pounds when the process is in control. What should the control limits be for a sample mean,   , chart if 9 bags are sampled at a time?<div style=padding-top: 35px> , chart if 9 bags are sampled at a time?
Question
A process that is in control has a mean of μ\mu = 56.5 and a standard deviation of σ\sigma = 3.4. What should the control limits be for a sample mean chart if samples of size 8 are taken?
Question
The No-Cal Bottling Company bottles soft drinks for sale to government commissaries. The bottles come in only one flavor (chocolate-lemon) and only one size (32 ounces). Joan Stickler, the quality control officer for the commissaries, wants to keep track of the fill weights of No-Cal and begins to draw daily samples of 100 bottles from the daily receipts. The first ten sample means and ranges are:
The No-Cal Bottling Company bottles soft drinks for sale to government commissaries. The bottles come in only one flavor (chocolate-lemon) and only one size (32 ounces). Joan Stickler, the quality control officer for the commissaries, wants to keep track of the fill weights of No-Cal and begins to draw daily samples of 100 bottles from the daily receipts. The first ten sample means and ranges are:   If sample ranges ordinarily average 2.5 ounces: a. Compute 3s control limits for sample means. b. Compute 3s control limits for sample ranges. c. What would you conclude about the fill weights of NoCal?<div style=padding-top: 35px> If sample ranges ordinarily average 2.5 ounces:
a. Compute 3s control limits for sample means.
b. Compute 3s control limits for sample ranges.
c. What would you conclude about the fill weights of NoCal?
Question
An acceptance sampling plan with n = 20 and c = 1 has been designed with a producer's risk of .12.
a. Was the value of p0 equal to .02, .03, .04, or .05?
b. What is the consumer's risk associated with this plan if p1 is .08?
c. Assume the consumer's risk found in (b) is unacceptably high. Which modification of the sampling plan will result in the greater reduction of the consumer's risk, increasing n to 30 or decreasing c to 0?
Question
Ledd Electronics has received a large shipment of power supply units for the desktop computers being assembled. The units are coming from a new supplier and Ledd is not sure what the actual defect rate will be for this component. Ledd is considering an acceptance sampling plan with n = 30 and c = 1.
a. Find the probability of accepting a lot when the defect rate is 2%, 4%, and 6%.
b. What happens to the producer's risk as the defect rate increases?
c. What happens to the consumer's risk as the defect rate increases?
Question
The quality control department of a company has decided to select a sample of 10 items from the shipments received; and if the sample contains no defective parts, the entire shipment will be accepted.
a.If there are 40 defective items in a shipment, what is the probability that the entire lot will be accepted?
b.Use the binomial table and read the probability of accepting lots that contain 5, 10, 15, 20, 25, 30, 35, 40, 45, and 50% defective units.
Question
A U.S. manufacturer of digital video recorders purchases a circuit board from a Taiwanese firm. The circuit boards are shipped in lots of 2000. The acceptance sampling procedure uses 12 randomly selected circuit boards. The acceptance number is 1. If p0 is .03 and p1 is .20, what are the producer's and consumer's risks for this plan?
Question
Snipper, Inc. manufactures lawnmowers that require minor, final assembly by the customer. A sealed plastic bag containing the hardware (nuts, bolts, washers, and so on) needed for final assembly is included with each lawnmower shipped. During a week of normal, in-control operation, twenty samples of 200 bags of hardware were examined for content (hardware type and count) accuracy. A total of 104 bags of the 4000 examined failed to have the correct contents.
a. Compute the upper limit, center line, and lower limit for a p chart.
b. Compute the upper limit, center line, and lower limit for an np chart.
Question
A process sampled 30 times with a sample of size nine resulted in A process sampled 30 times with a sample of size nine resulted in   = 12.7 and   = 0.8. Compute the upper and lower control limits for the   and   charts for this process.<div style=padding-top: 35px> = 12.7 and A process sampled 30 times with a sample of size nine resulted in   = 12.7 and   = 0.8. Compute the upper and lower control limits for the   and   charts for this process.<div style=padding-top: 35px> = 0.8. Compute the upper and lower control limits for the A process sampled 30 times with a sample of size nine resulted in   = 12.7 and   = 0.8. Compute the upper and lower control limits for the   and   charts for this process.<div style=padding-top: 35px> and A process sampled 30 times with a sample of size nine resulted in   = 12.7 and   = 0.8. Compute the upper and lower control limits for the   and   charts for this process.<div style=padding-top: 35px> charts for this process.
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Deck 14: Statistical Methods for Quality Control
1
A control chart that is used when the output of a production process is measured in terms of the proportion defective is

A)a p chart
B)an x-bar chart
C)an R chart
D)an np chart
a p chart
2
Normal or natural variation in the quality of production output that is due purely to chance is called

A)common-cause variation
B)assignable-cause variation
C)control-cause variation
D)correctable-cause variation
common-cause variation
3
The sample result plotted on an np control chart is

A)np
B)np
C)the number of perfect units in the sample
D)the number of defective units in the sample
the number of defective units in the sample
4
A control chart that is used to monitor the range of the measurements in a sample is

A)a p chart
B)an x-bar chart
C)an R chart
D)an np chart
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k this deck
5
Quality assurance consists of

A)quality control
B)quality engineering
C)quality assurance
D)Both quality control and quality engineering are correct.
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k this deck
6
A control chart used when the output of a process is measured in terms of the mean value of a variable such as a length, weight, temperature, and so on is

A)a p chart
B)an x-bar chart
C)an R chart
D)an np chart
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7
Variation in the quality of production output that is due to factors such as machine tools wearing out is called

A)common-cause variation
B)assignable-cause variation
C)acceptable-cause variation
D)natural-cause variation
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8
A control chart that is used to monitor the number of defectives in a sample is

A)a p chart
B)an x-bar chart
C)an R chart
D)an np chart
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9
If the value of c in a single-stage acceptance sampling plan is increased, with n remaining constant, the probability of accepting the lot

A)increases
B)decreases
C)remains the same
D)might increase or decrease, depending on the percent defective in the lot
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k this deck
10
The entire system of policies, procedures, and guidelines established by an organization to achieve and maintain quality is called

A)quality control
B)quality engineering
C)quality assurance
D)Both quality control and quality engineering are correct.
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k this deck
11
An operating characteristic curve is based on a ________ probability distribution.

A)normal
B)exponential
C)binomial
D)uniform
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12
Control charts that are based on data indicating the presence of a defect or the number of defects are called ______ control charts.

A)attributes
B)variables
C)common-cause
D)assignable-cause
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13
Which of the following is not a type of a control chart?

A)a p chart
B)an x-bar chart
C)an R chart
D)All of these are types of control charts.
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14
__________ consist(s) of making a series of inspections and measurements to determine whether quality standards are being met.

A)Quality control
B)Quality engineering
C)Quality assurance
D)Both quality control and quality engineering are correct.
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15
The control limits for a p chart are how many standard deviations above and below the proportion defective?

A)one
B)two
C)three
D)four
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16
The control limits for an x-bar chart are how many standard deviations above and below the process mean?

A)one
B)two
C)three
D)four
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17
The general practice in quality control is to set the control chart's upper and lower control limit values equal to the variable's mean value +/-

A)1 standard deviation
B)2 standard deviations
C)2.5 standard deviations
D)3 standard deviations
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18
A graphical tool used to help determine whether a process is in control or out of control is a

A)scatter diagram
B)histogram
C)control chart
D)None of the other answers is correct.
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19
Which of the following is a statistical method used in quality control?

A)statistical process control
B)acceptance sampling
C)Both statistical process control and acceptance sampling are correct.
D)None of the other answers is correct.
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20
If the calculated lower-control limit of a p chart is negative,

A)a mistake has been made in the calculations
B)use the absolute value of the lower limit
C)it is set to zero
D)None of the other answers is correct.
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21
In contrast to Deming's philosophy, which required a major cultural change in the organization, Juran's programs were designed to improve quality by

A)working within the current organizational system
B)reducing the number of levels in the organizational structure
C)changing customer perception and expectations
D)identifying and replacing the most counter-productive employees
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Unlock for access to all 72 flashcards in this deck.
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k this deck
22
Rejecting a poor-quality lot would be a

A)Type I error
B)Type II error
C)correct decision
D)None of the other answers is correct.
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Unlock Deck
k this deck
23
In acceptance sampling, the risk of rejecting a good quality lot is known as

A)consumer's risk
B)producer's risk
C)a Type II error
D)None of the other answers is correct
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Unlock Deck
k this deck
24
DFSS stands for

A)Defects Found Sifting and Sorting
B)Design For Six Sigma
C)Deviation From Specifications and Standards
D)Defer For Statistical Study
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k this deck
25
The control limits for an np chart are how many standard deviations above and below the expected number of defectives?

A)one
B)two
C)three
D)four
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26
When a Motorola executive said "That evaluation is …. perhaps the most cost-effective, value-added business consultation available anywhere in the world today" he was referring to

A)ISO 9000 standards
B)the Six Sigma philosophy
C)Deming's 14 Points
D)the Malcolm Baldrige Quality Award
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27
Consumer's risk is

A)the same concept as the producer's risk
B)a Type II error
C)a Type I error
D)None of the other answers is correct.
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28
A graph showing the probability of accepting the lot as a function of the percent defective in the lot is

A)a power curve
B)a control chart
C)an operating characteristic curve
D)None of the other answers is correct.
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29
A form of acceptance sampling in which more than one sample or stage is used is called a

A)single-sample plan
B)multiple-sampling plan
C)multinomial sampling plan
D)None of the other answers is correct.
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30
The maximum number of defective items that can be found in the sample and still lead to acceptance of the lot is

A)the upper control limit
B)the lower control limit
C)the acceptance criterion
D)None of the other answers is correct.
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31
A group of items such as incoming shipments of raw material is called

A)a sample plan
B)an incoming control
C)a lot
D)None of the other answers is correct.
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32
Accepting a good-quality lot would be a

A)Type I error
B)Type II error
C)correct decision
D)None of the other answers is correct.
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33
In acceptance sampling, the risk of accepting a poor quality lot is known as

A)consumer's risk
B)producer's risk
C)a Type I error
D)None of the other answers is correct.
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34
Juran proposed a simple definition of quality:

A)customer satisfaction
B)conformance to specifications
C)fitness for use
D)commitment to excellence
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35
Six Sigma represents a quality level of at most ____ defects per million opportunities.

A)3.4
B)6.0
C)19.7
D)99.5
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36
The Malcolm Baldrige National Quality Award was established in

A)1954
B)1971
C)1987
D)1993
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37
A statistical procedure in which the number of defective items found in a sample is used to determine whether a lot should be accepted or rejected is called

A)statistical process control
B)acceptance sampling
C)quality assurance
D)control charts
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38
Producer's risk is

A)the same as the consumer's risk
B)a Type II error
C)a Type I error
D)None of the other answers is correct.
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39
The second stage of a two-stage acceptance sampling plan is executed when the first-stage result is

A)x1 > c1
B)c1 < x1 < c2
C)x1 > c2
D)x1 > c1 + c2
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40
The three quality processes on which Juran's approach to quality focused include all of the following except

A)quality planning
B)quality execution
C)quality control
D)quality improvement
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41
A production process that is in control has a mean ( μ\mu ) of 80 and a standard deviation ( σ\sigma ) of 10.
a.Determine the upper and the lower control limits for sample sizes of 25.
b.Five samples had means of 81, 84, 75, 83, and 79. Construct an x-bar chart and explain whether or not the process is in control.
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42
The two general classifications of attributes in quality control are

A)random and predictable
B)controllable and uncontrollable
C)variable and constant
D)defective and nondefective
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43
The following data represent the filling weights based on samples of 14.5 ounce cans of whole peeled tomatoes. Ten samples of size 5 were taken. Use Excel to develop an x-bar chart.
The following data represent the filling weights based on samples of 14.5 ounce cans of whole peeled tomatoes. Ten samples of size 5 were taken. Use Excel to develop an x-bar chart.
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44
Process control and acceptance sampling procedures are most closely related to

A)linear regression procedures
B)interval estimation procedures
C)hypothesis testing procedures
D)analysis of variance procedures
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45
A production process is considered in control if 4% of the items produced are defective. Samples of size 100 are used for the inspection process.
a.Determine the standard error of the proportion.
b.Determine the upper and the lower control limits for the p chart.
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46
In practice, it is common to use the sample _____ to estimate the process _________.

A)variances, range
B)means, variance
C)standard deviations, mean
D)ranges, standard deviation
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47
Brakes Shop, Inc., is a franchise that specializes in repairing brake systems of automobiles. The company purchases brake shoes from a national supplier. Currently, lots of 1,000 brake shoes are purchased, and each shoe is inspected before being installed on an automobile. The company has decided, instead of 100% inspection, to adopt an acceptance sampling plan.
a.Explain what is meant by the acceptance sampling plan.
b.If the company decides to adopt an acceptance sampling plan, what kinds of risks are there?
c.The quality control department of the company has decided to select a sample of 10 shoes and inspect them for defects. Furthermore, it has been decided that if the sample contains no defective parts, the entire lot will be accepted. If there are 50 defective shoes in a shipment, what is the probability that the entire lot will be accepted?
d.What is the probability of accepting the lot if there are 100 defective units in the lot?
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48
The upper and lower control limits of a process are 66 and 54. Samples of size 16 are used for the inspection process. Determine the mean and the standard deviation for this process.
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49
A soft drink filling machine is set up to fill bottles with 12 ounces of soft drink. The standard deviation s is known to be 0.4 ounces. The quality control department periodically selects samples of 16 bottles and measures their contents. Assume the distribution of filling volumes is normal.
a.Determine the upper and lower control limits and explain what they indicate.
b.The means of six samples were 11.8, 12.2, 11.9, 11.9, 12.1, and 11.8 ounces. Construct an x-bar chart and indicate whether or not the process is in control.
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50
The quality control department of a company has decided to select a sample of 20 items from each shipment of goods it receives and inspect them for defects. It has been decided that if the sample contains no defective parts, the entire lot will be accepted. Each shipment contains 1,000 items.
a.What is the probability of accepting a lot that contains 10% defective items?
b.What is the probability of accepting a lot that contains 5% defective items?
c.What is the probability of rejecting a lot that contains 15% defective items?
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51
The following data represent the filling weights based on samples of 14.5 ounce cans of whole peeled tomatoes. Ten samples of size 5 were taken. Use Excel to develop an R chart.
The following data represent the filling weights based on samples of 14.5 ounce cans of whole peeled tomatoes. Ten samples of size 5 were taken. Use Excel to develop an R chart.
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52
We can examine the effect of the sampling plan on both types of risks by varying the assumed

A)percentage of defective items in the lot
B)number of defective items in the sample
C)probability of accepting the lot
D)number of units in the lot
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53
If the value of c in a single-stage sampling plan is increased, with n remaining constant, the probability of accepting the lot

A)increases
B)decreases
C)is unchanged
D)might increase or decrease, depending on the lot percent defective
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54
Heavy emphasis on statistical analysis and careful measurement are closely associated with

A)Total Quality
B)ISO 9000
C)Baldrige National Quality Program
D)Six Sigma
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55
A production process is considered in control if 6% of the items produced are defective. Samples of size 300 are used for the inspection process.
a.Determine the standard error of the proportion.
b.Determine the upper and the lower control limits for the p chart.
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56
Control charts based on data that can be measured on a continuous scale are called

A)normal control charts
B)variables control charts
C)attributes control charts
D)precision control charts
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57
The process mean and standard deviation can be estimated by using samples that are selected from the process when

A)it has only assignable-cause variation
B)its output is uniformly distributed
C)it is assumed to be operating in control
D)it is operating at peak capacity
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58
The following data represent the filling weights based on samples of 350-gram containers. Ten samples of size 5 were taken. Use Excel to develop an R chart.
The following data represent the filling weights based on samples of 350-gram containers. Ten samples of size 5 were taken. Use Excel to develop an R chart.
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59
An acceptance sampling plan uses a sample of 18 with an acceptance criterion of zero. Determine the probability of accepting shipments that contain 5, 10, 15, 20, 25, 30, 35, 40, and 45% defective units.
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60
The following data represent the filling weights based on samples of 350-gram containers. Ten samples of size 5 were taken. Use Excel to develop an x-bar chart.
The following data represent the filling weights based on samples of 350-gram containers. Ten samples of size 5 were taken. Use Excel to develop an x-bar chart.
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61
Harry Coates wants to construct Harry Coates wants to construct   and R charts at the bag-filling operation for Meow Chow cat food. He knows that when the filling operation is functioning correctly, bags of cat food should average 50.00 pounds and 5-bag samples should have an average range of .330 pounds. Harry had twenty 5-bag samples taken at 2-hour intervals and the sample means and ranges are shown below. Determine the center lines and upper and lower control limits for the   and R charts.  and R charts at the bag-filling operation for Meow Chow cat food. He knows that when the filling operation is functioning correctly, bags of cat food should average 50.00 pounds and 5-bag samples should have an average range of .330 pounds.
Harry had twenty 5-bag samples taken at 2-hour intervals and the sample means and ranges are shown below. Determine the center lines and upper and lower control limits for the Harry Coates wants to construct   and R charts at the bag-filling operation for Meow Chow cat food. He knows that when the filling operation is functioning correctly, bags of cat food should average 50.00 pounds and 5-bag samples should have an average range of .330 pounds. Harry had twenty 5-bag samples taken at 2-hour intervals and the sample means and ranges are shown below. Determine the center lines and upper and lower control limits for the   and R charts.  and R charts.
Harry Coates wants to construct   and R charts at the bag-filling operation for Meow Chow cat food. He knows that when the filling operation is functioning correctly, bags of cat food should average 50.00 pounds and 5-bag samples should have an average range of .330 pounds. Harry had twenty 5-bag samples taken at 2-hour intervals and the sample means and ranges are shown below. Determine the center lines and upper and lower control limits for the   and R charts.
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62
To inspect incoming shipments of components, a manufacturer is considering samples of sizes 12, 15, and 18. Use binomial probabilities to select a sampling plan that provides a producer's risk of α\alpha = .12 when p0 is .04 and a consumer's risk of β\beta = .08 when p1 is .25.
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63
Janie Hochevar, director of production at the center, has decided to record the number of defective labels in random daily samples on control charts. Janie estimates that 1.5 percent loose labels is typical when the labeling process is in control.
Twelve daily samples, each consisting of 200 pairs of jeans, were selected and examined. The number of defective labels found in each sample is shown below.
Janie Hochevar, director of production at the center, has decided to record the number of defective labels in random daily samples on control charts. Janie estimates that 1.5 percent loose labels is typical when the labeling process is in control. Twelve daily samples, each consisting of 200 pairs of jeans, were selected and examined. The number of defective labels found in each sample is shown below.   a. Determine the center line and the 3s control limits for the p chart. b. Decide if the labeling operation is in control.
a. Determine the center line and the 3s control limits for the p chart.
b. Decide if the labeling operation is in control.
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64
The weight of bags of cement filled by Granite Rock Company's packaging process is normally distributed with a mean of 50 pounds and a standard deviation of 1.5 pounds when the process is in control. What should the control limits be for a sample mean, The weight of bags of cement filled by Granite Rock Company's packaging process is normally distributed with a mean of 50 pounds and a standard deviation of 1.5 pounds when the process is in control. What should the control limits be for a sample mean,   , chart if 9 bags are sampled at a time? , chart if 9 bags are sampled at a time?
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65
A process that is in control has a mean of μ\mu = 56.5 and a standard deviation of σ\sigma = 3.4. What should the control limits be for a sample mean chart if samples of size 8 are taken?
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66
The No-Cal Bottling Company bottles soft drinks for sale to government commissaries. The bottles come in only one flavor (chocolate-lemon) and only one size (32 ounces). Joan Stickler, the quality control officer for the commissaries, wants to keep track of the fill weights of No-Cal and begins to draw daily samples of 100 bottles from the daily receipts. The first ten sample means and ranges are:
The No-Cal Bottling Company bottles soft drinks for sale to government commissaries. The bottles come in only one flavor (chocolate-lemon) and only one size (32 ounces). Joan Stickler, the quality control officer for the commissaries, wants to keep track of the fill weights of No-Cal and begins to draw daily samples of 100 bottles from the daily receipts. The first ten sample means and ranges are:   If sample ranges ordinarily average 2.5 ounces: a. Compute 3s control limits for sample means. b. Compute 3s control limits for sample ranges. c. What would you conclude about the fill weights of NoCal? If sample ranges ordinarily average 2.5 ounces:
a. Compute 3s control limits for sample means.
b. Compute 3s control limits for sample ranges.
c. What would you conclude about the fill weights of NoCal?
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67
An acceptance sampling plan with n = 20 and c = 1 has been designed with a producer's risk of .12.
a. Was the value of p0 equal to .02, .03, .04, or .05?
b. What is the consumer's risk associated with this plan if p1 is .08?
c. Assume the consumer's risk found in (b) is unacceptably high. Which modification of the sampling plan will result in the greater reduction of the consumer's risk, increasing n to 30 or decreasing c to 0?
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68
Ledd Electronics has received a large shipment of power supply units for the desktop computers being assembled. The units are coming from a new supplier and Ledd is not sure what the actual defect rate will be for this component. Ledd is considering an acceptance sampling plan with n = 30 and c = 1.
a. Find the probability of accepting a lot when the defect rate is 2%, 4%, and 6%.
b. What happens to the producer's risk as the defect rate increases?
c. What happens to the consumer's risk as the defect rate increases?
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69
The quality control department of a company has decided to select a sample of 10 items from the shipments received; and if the sample contains no defective parts, the entire shipment will be accepted.
a.If there are 40 defective items in a shipment, what is the probability that the entire lot will be accepted?
b.Use the binomial table and read the probability of accepting lots that contain 5, 10, 15, 20, 25, 30, 35, 40, 45, and 50% defective units.
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70
A U.S. manufacturer of digital video recorders purchases a circuit board from a Taiwanese firm. The circuit boards are shipped in lots of 2000. The acceptance sampling procedure uses 12 randomly selected circuit boards. The acceptance number is 1. If p0 is .03 and p1 is .20, what are the producer's and consumer's risks for this plan?
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71
Snipper, Inc. manufactures lawnmowers that require minor, final assembly by the customer. A sealed plastic bag containing the hardware (nuts, bolts, washers, and so on) needed for final assembly is included with each lawnmower shipped. During a week of normal, in-control operation, twenty samples of 200 bags of hardware were examined for content (hardware type and count) accuracy. A total of 104 bags of the 4000 examined failed to have the correct contents.
a. Compute the upper limit, center line, and lower limit for a p chart.
b. Compute the upper limit, center line, and lower limit for an np chart.
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72
A process sampled 30 times with a sample of size nine resulted in A process sampled 30 times with a sample of size nine resulted in   = 12.7 and   = 0.8. Compute the upper and lower control limits for the   and   charts for this process. = 12.7 and A process sampled 30 times with a sample of size nine resulted in   = 12.7 and   = 0.8. Compute the upper and lower control limits for the   and   charts for this process. = 0.8. Compute the upper and lower control limits for the A process sampled 30 times with a sample of size nine resulted in   = 12.7 and   = 0.8. Compute the upper and lower control limits for the   and   charts for this process. and A process sampled 30 times with a sample of size nine resulted in   = 12.7 and   = 0.8. Compute the upper and lower control limits for the   and   charts for this process. charts for this process.
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