Exam 19: Statistical Process Control and Quality Management

If a company reports that its quarterly earnings will be between $100 million and $125 million, the range is an example of _________ variation.

(Multiple Choice)

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Question 41

A c bar chart shows the percent of the production that is defective.

(True/False)

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Question 42

The manager of a restaurant inspects a delivery of steaks based on the expectation that each steak weighs eight ounces. Is this an example of acceptance sampling or statistical process control? Explain why.

(Essay)

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Question 43

What is the purpose of a statistical control chart that plots sample means? _______________________________

(Short Answer)

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Question 44

If the sample ranges fall randomly within the upper and lower control limits, then it can be assumed that the process is ___________.

(Short Answer)

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Question 45

A manufacturer of golf club shafts inspects fifty shafts every day. Over the last ten days, the number of defective shafts has been reported. To construct a process control chart for the mean percent defective, what is the upper control limit?

(Short Answer)

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Question 46

The upper and lower control limits are usually set at

(Multiple Choice)

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Question 47

A new machine is set or calibrated to fill tubes of toothpaste at precisely 6.75 ounces. Then, once the machine is running, a sample of 6 tubes is taken every three hours and weighed with the following results: The measurement of quality is based on

(Multiple Choice)

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Question 48

A statistical quality control chart that is out-of-control shows what type of variation? _______

(Short Answer)

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Question 49

What process investigates the potential causes of an outcome or effect such as poor quality?

(Multiple Choice)

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Question 50

Which probability distribution is used to develop an operating characteristic curve?

(Multiple Choice)

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Question 51

Explain the risks of acceptance sampling.

(Essay)

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Question 52

If the binomial distribution is used to develop an operating characteristic curve for an acceptance sampling plan, how many possible outcomes can there be? _______

(Short Answer)

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Question 53

A manufacturer of cell phones counts the number of defective phones in an eight hour shift. Over the last ten days, the number of defective shafts per eight hour shift has been reported. To construct a process control chart for the mean number defective, what is the lower control limit?

(Short Answer)

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Question 54

How is the center line of a mean chart labeled? _______

(Short Answer)

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Question 55

A manufacturer of golf club shafts inspects fifty shafts every day. Over the last ten days, the number of defective shafts has been reported. To construct a process control chart for the mean percent defective, what is the lower control limit?

(Short Answer)

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Question 56

Samples of 200 parts were taken every day and the number of defectives was counted. What are the upper and lower limits for the percent defective chart?

(Multiple Choice)

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Question 57

Control charts can be developed for both variables and attributes.

(True/False)

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Question 58

A new printing machine is set or calibrated to print 25 copies per minute. On each of four days, the printer's output is measured five times. The data will be used to construct a process control chart to monitor the printing process. The results of the printing process are in the following table. What is the value of the upper control limit factor for a range chart?

(Short Answer)

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Question 59

Assignable causes are usually large in number and random in nature, and they cannot be entirely eliminated.

(True/False)

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Question 60

Showing 41 - 60 of 129

If a company reports that its quarterly earnings will be between $100 million and $125 million, the range is an example of _________ variation.

A c bar chart shows the percent of the production that is defective.

The manager of a restaurant inspects a delivery of steaks based on the expectation that each steak weighs eight ounces. Is this an example of acceptance sampling or statistical process control? Explain why.

What is the purpose of a statistical control chart that plots sample means? _______________________________

If the sample ranges fall randomly within the upper and lower control limits, then it can be assumed that the process is ___________.

A manufacturer of golf club shafts inspects fifty shafts every day. Over the last ten days, the number of defective shafts has been reported. To construct a process control chart for the mean percent defective, what is the upper control limit?

The upper and lower control limits are usually set at

A new machine is set or calibrated to fill tubes of toothpaste at precisely 6.75 ounces. Then, once the machine is running, a sample of 6 tubes is taken every three hours and weighed with the following results: The measurement of quality is based on

A statistical quality control chart that is out-of-control shows what type of variation? _______

What process investigates the potential causes of an outcome or effect such as poor quality?

Which probability distribution is used to develop an operating characteristic curve?

Explain the risks of acceptance sampling.

If the binomial distribution is used to develop an operating characteristic curve for an acceptance sampling plan, how many possible outcomes can there be? _______

A manufacturer of cell phones counts the number of defective phones in an eight hour shift. Over the last ten days, the number of defective shafts per eight hour shift has been reported. To construct a process control chart for the mean number defective, what is the lower control limit?

How is the center line of a mean chart labeled? _______

A manufacturer of golf club shafts inspects fifty shafts every day. Over the last ten days, the number of defective shafts has been reported. To construct a process control chart for the mean percent defective, what is the lower control limit?

Samples of 200 parts were taken every day and the number of defectives was counted. What are the upper and lower limits for the percent defective chart?

Control charts can be developed for both variables and attributes.

Assignable causes are usually large in number and random in nature, and they cannot be entirely eliminated.

What Is Statistics

Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Methods and the Central Limit Theorem

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Correlation and Linear Regression

Multiple Regression Analysis

Index Numbers

Time Series and Forecasting

Nonparametric Methods: Goodness-Of-Fit Tests

Nonparametric Methods: Analysis of Ranked Data

An Introduction to Decision Theory

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