Question 1

Larger samples will require wider x-bar control limits because there is more data.

Accepted Answer

A) True 
 B)False

Question 2

If, when the coating process is in control, the long-run average is 0.09 millimeters, what metric would be used to assess this process' capability?

Accepted Answer

The answer of If, when the coating process is in...

Question 3

The chart below depicts 16 sample means that were taken at periodic intervals and plotted on a control chart.Does the output appear to be random?

Accepted Answer

@#IMG-DLM& Since all points are within the control

Question 4

An analyst counted 17 A/B runs and 15 U/D runs in 26 time series observations.Do these results suggest that the data are non-random?

Accepted Answer

@#IMG-DLM& These results do not suggest

Question 5

Perform run tests on the given data.What can you conclude?

Accepted Answer

The answer of Perform run tests on the given data.What...

Question 6

When a process is not centered, its capability is measured in a slightly different way.The symbol for this case is Cpk.

Accepted Answer

A) True 
 B)False

Question 7

The optimum level of inspection occurs when we catch at least 98.6 percent of the defects.

Accepted Answer

A) True 
 B)False

Question 8

Control limits are based on multiples of the process standard deviation.

Accepted Answer

A) True 
 B)False

Question 9

A p-chart would be used to monitor _______.

Accepted Answer

A) average shrinkage 
B) dispersion in sample data 
C) the fraction defective 
D) the number of defects per unit 
E) the range of values 
A) average shrinkage 
B) dispersion in sample data 
C) the fraction defective 
D) the number of defects per unit 
E) the range of values

Question 10

The amount of inspection we choose can range from no inspection at all to inspecting each item numerous times.

Accepted Answer

A) True 
 B)False

Question 11

An "up and down" run test uses the median as a reference point and measures the percentage above and below the median.

Accepted Answer

A) True 
 B)False

Question 12

If the process proportion of defectives is unknown, what are the upper and lower control limits for an alpha risk of .10? .05? .01?

Accepted Answer

.1247 and

Question 13

Processes that are in control eliminate variations.

Accepted Answer

A) True 
 B)False

Question 14

What is the estimate of the process proportion of defectives for whenever it is under control?

Accepted Answer

A) .08 
B) .06 
C) .04 
D) .02 
E) .01 
A) .08 
B) .06 
C) .04 
D) .02 
E) .01

Question 15

What is the sample mean package weight for Thursday?

Accepted Answer

A) 19 ounces 
B) 20 ounces 
C) 20.6 ounces 
D) 21 ounces 
E) 23 ounces 
A) 19 ounces 
B) 20 ounces 
C) 20.6 ounces 
D) 21 ounces 
E) 23 ounces

Question 16

Given the following control chart, would you say that the process appears to be performing appropriately?

Accepted Answer

@#IMG-DLM& Since all points are within the control

Question 17

Concluding a process is out of control when it is not is known as a Type I error.

Accepted Answer

A) True 
 B)False

Question 18

What is the standard deviation of the sampling distribution of sample means for whenever this process is under control?

Accepted Answer

A) 0.1 ounces 
B) 0.4 ounces 
C) 0.5 ounces 
D) 1 ounce 
E) 2 ounces 
A) 0.1 ounces 
B) 0.4 ounces 
C) 0.5 ounces 
D) 1 ounce 
E) 2 ounces

Question 19

The output of a process may not conform to specifications even though the process may be statistically "in control."

Accepted Answer

A) True 
 B)False

Question 20

A process results in a few defects occurring in each unit of output.Long-run, these defects should be monitored with ___________.

Accepted Answer

A) p-charts 
B) c-charts 
C) x-bar charts 
D) r-charts 
E) o-charts 
A) p-charts 
B) c-charts 
C) x-bar charts 
D) r-charts 
E) o-charts

Exam 10: Quality Control

Larger samples will require wider x-bar control limits because there is more data.

If, when the coating process is in control, the long-run average is 0.09 millimeters, what metric would be used to assess this process' capability?

The chart below depicts 16 sample means that were taken at periodic intervals and plotted on a control chart.Does the output appear to be random?

An analyst counted 17 A/B runs and 15 U/D runs in 26 time series observations.Do these results suggest that the data are non-random?

Perform run tests on the given data.What can you conclude?

When a process is not centered, its capability is measured in a slightly different way.The symbol for this case is Cpk.

The optimum level of inspection occurs when we catch at least 98.6 percent of the defects.

Control limits are based on multiples of the process standard deviation.

A p-chart would be used to monitor _______.

The amount of inspection we choose can range from no inspection at all to inspecting each item numerous times.

An "up and down" run test uses the median as a reference point and measures the percentage above and below the median.

If the process proportion of defectives is unknown, what are the upper and lower control limits for an alpha risk of .10? .05? .01?

Processes that are in control eliminate variations.

What is the estimate of the process proportion of defectives for whenever it is under control?

What is the sample mean package weight for Thursday?

Given the following control chart, would you say that the process appears to be performing appropriately?

Concluding a process is out of control when it is not is known as a Type I error.

What is the standard deviation of the sampling distribution of sample means for whenever this process is under control?

The output of a process may not conform to specifications even though the process may be statistically "in control."

A process results in a few defects occurring in each unit of output.Long-run, these defects should be monitored with ___________.

Introduction to Operations Management

Competitiveness, Strategy, and Productivity

Forecasting

Product and Service Design

Strategic Capacity Planning for Products and Services

Process Selection and Facility Layout

Work Design and Measurement

Location Planning and Analysis

Management of Quality

Aggregate Planning and Master Scheduling

MRP and ERP

Inventory Management

Jit and Lean Operations

Supply Chain Management

Scheduling

Project Management

Management of Waiting Lines

Linear Programming

Extension 4: Reliability

Extension 5: Decision Theory

Extension 7: Learning Curves

Extension 8: The Transportation Model

Extension 10: Acceptance Sampling

Extension 14: Maintenance

Filters