A) to examine variability in acceptance sampling plans. B) in acceptance sampling to establish control. C) to examine points in a control chart to check for natural variability. D) to examine points in a control chart to check for nonrandom variability. E) in acceptance sampling to establish sample size. A) to examine variability in acceptance sampling plans. B) in acceptance sampling to establish control. C) to examine points in a control chart to check for natural variability. D) to examine points in a control chart to check for nonrandom variability. E) in acceptance sampling to establish sample size.

Ten samples of size four were taken from a process, and their weights measured. The sample averages and sample ranges are in the following table. Construct and plot an x-bar and R-chart using this data. Is the process in control? \[\begin{array} { |l | l | l | } \hline \text { Sample } & \text { Mean } & \text { Range } \\ \hline 1 & 20.01 & 0.45 \\ \hline 2 & 19.98 & 0.67 \\ \hline 3 & 20.25 & 0.30 \\ \hline 4 & 19.90 & 0.30 \\ \hline 5 & 20.35 & 0.36 \\ \hline 6 & 19.23 & 0.49 \\ \hline 7 & 20.01 & 0.53 \\ \hline 8 & 19.98 & 0.40 \\ \hline 9 & 20.56 & 0.95 \\ \hline 10 & 19.97 & 0.79 \\ \hline \end{array}\]

@#IMG-DLM& @#IMG-DLM& The x-bar chart is out of co

Exam 26: Statistical Process Control

The specifications for a manifold gasket that installs between two engine parts calls for a thickness of 2.500 mm ± .020 mm. The standard deviation of the process is estimated to be 0.004 mm. What are the upper and lower specification limits for this product? The process is currently operating at a mean thickness of 2.50 mm. (a) What is the C_p for this process? (b) The purchaser of these parts requires a capability index of 1.50. Is this process capable? Is this process good enough for the supplier? (c) If the process mean were to drift from its setting of 2.500 mm to a new mean of 2.497, would the process still be good enough for the supplier's needs?

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Question 61

Which of the following statements about acceptance sampling is true?

(Multiple Choice)

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Question 62

If a sample of items is taken and the mean of the sample is outside the control limits the process is

(Multiple Choice)

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Question 63

________ is variation in a production process that can be traced to specific causes.

(Short Answer)

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Question 64

The width of a bronze bar is intended to be one-eighth of an inch (0.125 inches). Inspection samples contain five bars each. The average range of these samples is 0.01 inches. What are the upper and lower control limits for the x-bar and R-chart for this process, using 3-sigma limits?

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Question 65

The width of a bronze bar is intended to be 0.3 cms. Inspection samples contain five bars each. The average range of these samples is 0.01 cms. What are the upper and lower control limits for the x-bar and R-chart for this process, using 3-sigma limits?

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Question 66

A(n) ________ is a graph that describes how well an acceptance plan discriminates between good and bad lots.

(Short Answer)

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Question 67

The statistical process chart used to control the number of defects per unit of output is the

(Multiple Choice)

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Question 68

A consultant has been brought in to a manufacturing plant to help apply six sigma principles. Her first task is to work on the production of rubber balls. The upper and lower spec limits are 21 and 19 cm respectively. The consultant takes ten samples of size five and computes the sample standard deviation to be .7 cm and the sample mean to be 19.89 cm. Compute Cp and Cp_k for the process. Give the consultant advice on what to do with the process based on your findings.

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Question 69

Consumer's risk is the probability of

(Multiple Choice)

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Question 70

The purpose of process control is to detect when natural causes of variation are present.

(True/False)

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Question 71

The number of defects after a hotel room cleaning (sheets not straight, smears on mirror, missed debris on carpet, etc.) should be measured using a(n)

(Multiple Choice)

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Question 72

An acceptance sampling plan must define "good lots" and "bad lots" and specify the risk level associated with each one.

(True/False)

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Question 73

Jars of pickles are sampled and weighed. Sample measures are plotted on control charts. The ideal weight should be precisely 11 oz. Which type of chart(s) would you recommend?

(Multiple Choice)

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Question 74

A run test is used

(Multiple Choice)

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Question 75

The higher the process capability ratio, the greater the likelihood that process will be within design specifications.

(True/False)

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Question 76

For an x-bar chart where the standard deviation is known, the Upper Control Limit

(Multiple Choice)

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Question 77

If the C_pk index exceeds 1

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Question 78

Repeated sampling of a certain process shows the average of all sample ranges to be 0.85 cm. The sample size has been constant at n = 10. What are the 3-sigma control limits for this R-chart?

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Question 79

Ten samples of size four were taken from a process, and their weights measured. The sample averages and sample ranges are in the following table. Construct and plot an x-bar and R-chart using this data. Is the process in control? Sample Mean Range 1 20.01 0.45 2 19.98 0.67 3 20.25 0.30 4 19.90 0.30 5 20.35 0.36 6 19.23 0.49 7 20.01 0.53 8 19.98 0.40 9 20.56 0.95 10 19.97 0.79

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Question 80

Showing 61 - 80 of 166

Exam 26: Statistical Process Control

Which of the following statements about acceptance sampling is true?

If a sample of items is taken and the mean of the sample is outside the control limits the process is

________ is variation in a production process that can be traced to specific causes.

The width of a bronze bar is intended to be one-eighth of an inch (0.125 inches). Inspection samples contain five bars each. The average range of these samples is 0.01 inches. What are the upper and lower control limits for the x-bar and R-chart for this process, using 3-sigma limits?

The width of a bronze bar is intended to be 0.3 cms. Inspection samples contain five bars each. The average range of these samples is 0.01 cms. What are the upper and lower control limits for the x-bar and R-chart for this process, using 3-sigma limits?

A(n) ________ is a graph that describes how well an acceptance plan discriminates between good and bad lots.

The statistical process chart used to control the number of defects per unit of output is the

Consumer's risk is the probability of

The purpose of process control is to detect when natural causes of variation are present.

The number of defects after a hotel room cleaning (sheets not straight, smears on mirror, missed debris on carpet, etc.) should be measured using a(n)

An acceptance sampling plan must define "good lots" and "bad lots" and specify the risk level associated with each one.

Jars of pickles are sampled and weighed. Sample measures are plotted on control charts. The ideal weight should be precisely 11 oz. Which type of chart(s) would you recommend?

A run test is used

The higher the process capability ratio, the greater the likelihood that process will be within design specifications.

For an x-bar chart where the standard deviation is known, the Upper Control Limit

If the Cpk index exceeds 1

Repeated sampling of a certain process shows the average of all sample ranges to be 0.85 cm. The sample size has been constant at n = 10. What are the 3-sigma control limits for this R-chart?

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If the C_pk index exceeds 1