Question 1

Which statement is an accurate description of a process that is "capable"?

Accepted Answer

A)  No random variation is evident, only assignable variation. 
B)  Process variability is greater than variation allowed by design specifications. 
C)  Process variability is less than variation allowed by design specifications. 
D)  Assignable variation is less than random variation. 
E)  Assignable variation is greater than random variation. 
A)  No random variation is evident, only assignable variation. 
B)  Process variability is greater than variation allowed by design specifications. 
C)  Process variability is less than variation allowed by design specifications. 
D)  Assignable variation is less than random variation. 
E)  Assignable variation is greater than random variation. C

Question 2

What is the sample proportion of defectives for machine #1?

Accepted Answer

A)  .023 
B)  .02 
C)  .0115 
D)  .0058 
E)  .005 
A)  .023 
B)  .02 
C)  .0115 
D)  .0058 
E)  .005 A

Question 3

The amount of inspection needed is governed by the costs of inspection and the expected costs of passing defective items.

Accepted Answer

A) True 
 B)False  True

Question 4

Control limits distinguish between non-random and assignable variability.

Accepted Answer

A) True 
 B)False

Question 5

The term "2 sigma limits" in the context of a control chart refers to the variability of the:

Accepted Answer

A)  process. 
B)  population. 
C)  sample. 
D)  sampling distribution. 
E)  none of the choices are correct. 
A)  process. 
B)  population. 
C)  sample. 
D)  sampling distribution. 
E)  none of the choices are correct.

Question 6

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

Accepted Answer

A) True 
 B)False

Question 7

Given the following process control data for a quality attribute (three samples of size 400 each):
  
-If the process is known to produce 11 percent defectives on average,using three sigma control limits,do any of the sample proportions indicate an out-of-control process proportion of defectives?

Accepted Answer

No,all are

Question 8

A c-chart is used to monitor the number of defects per unit of a process output.

Accepted Answer

A) True 
 B)False

Question 9

The process capability index,indicated by Cpis calculated as the ratio of the design specification width to the process width.

Accepted Answer

A) True 
 B)False

Question 10

Control limits are statistical limits that reflect the extent to which sample statistics such as means and ranges can vary due to random variation alone.

Accepted Answer

A) True 
 B)False

Question 11

Four samples of three observations each have been taken,with actual measurements (in centimetres)shown below.Construct three sigma mean and range charts,and determine if corrective action is needed.

Accepted Answer

@#IMG-DLM& Although all points are withi

Question 12

Assignable variation is variation due to a specific cause,such as tool wear.

Accepted Answer

A) True 
 B)False

Question 13

Concluding that a process has changed when it has not is known as a Type I error.

Accepted Answer

A) True 
 B)False

Question 14

The part of statistical quality control that occurs during the production process is known as acceptance sampling.

Accepted Answer

A) True 
 B)False

Question 15

In order for a process to be capable,it must have a capability ratio of at least 1.00.

Accepted Answer

A) True 
 B)False

Question 16

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

Accepted Answer

A process appears to be perfor

Question 17

The process capability index,indicated by Cpkis used only when the process is centred.

Accepted Answer

A) True 
 B)False

Question 18

Studies on a bottle-filling machine indicates it fills bottles to a mean of 16 ounces with a standard deviation of 0.10 ounces.Assuming the Cpindex = 1.0,what is/are the process specification(s)?

Accepted Answer

A)  0.10 ounces. 
B)  0.60 ounces. 
C)  16.0 ounces plus or minus 0.60 ounces. 
D)  16.0 ounces plus or minus 0.30 ounces. 
E)  None of the choices are correct. 
A)  0.10 ounces. 
B)  0.60 ounces. 
C)  16.0 ounces plus or minus 0.60 ounces. 
D)  16.0 ounces plus or minus 0.30 ounces. 
E)  None of the choices are correct.

Question 19

A sample statistic that falls inside the control limits suggests there is assignable variation in the process.

Accepted Answer

A) True 
 B)False

Question 20

The optimum level of inspection for quality control is where the:

Accepted Answer

A)  cost of inspection is minimum. 
B)  cost of passing defectives is minimum. 
C)  total cost of inspection and passing defectives is maximum. 
D)  total cost of inspection and passing defectives is minimum. 
E)  difference in inspection and defectives costs is minimum. 
A)  cost of inspection is minimum. 
B)  cost of passing defectives is minimum. 
C)  total cost of inspection and passing defectives is maximum. 
D)  total cost of inspection and passing defectives is minimum. 
E)  difference in inspection and defectives costs is minimum.

Exam 10: A: Statistical Quality Control

Which statement is an accurate description of a process that is "capable"?

What is the sample proportion of defectives for machine #1?

The amount of inspection needed is governed by the costs of inspection and the expected costs of passing defective items.

Control limits distinguish between non-random and assignable variability.

The term "2 sigma limits" in the context of a control chart refers to the variability of the:

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

Given the following process control data for a quality attribute (three samples of size 400 each): -If the process is known to produce 11 percent defectives on average,using three sigma control limits,do any of the sample proportions indicate an out-of-control process proportion of defectives?

A c-chart is used to monitor the number of defects per unit of a process output.

The process capability index,indicated by Cpis calculated as the ratio of the design specification width to the process width.

Control limits are statistical limits that reflect the extent to which sample statistics such as means and ranges can vary due to random variation alone.

Four samples of three observations each have been taken,with actual measurements (in centimetres)shown below.Construct three sigma mean and range charts,and determine if corrective action is needed.

Assignable variation is variation due to a specific cause,such as tool wear.

Concluding that a process has changed when it has not is known as a Type I error.

The part of statistical quality control that occurs during the production process is known as acceptance sampling.

In order for a process to be capable,it must have a capability ratio of at least 1.00.

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

The process capability index,indicated by Cpkis used only when the process is centred.

Studies on a bottle-filling machine indicates it fills bottles to a mean of 16 ounces with a standard deviation of 0.10 ounces.Assuming the Cpindex = 1.0,what is/are the process specification(s)?

A sample statistic that falls inside the control limits suggests there is assignable variation in the process.

The optimum level of inspection for quality control is where the:

Introduction to Operations Management

Competitiveness, Strategic Planning, and Productivity

Demand Forecasting

A: Product Design

B: Product Design

A: Strategic Capacity Planning

B: Strategic Capacity Planning

A: Process Design and Facility Layout

B: Process Design and Facility Layout

A: Design of Work Systems

B: Design of Work Systems

A: Location Planning and Analysis

B: Location Planning and Analysis

Management of Quality

B: Statistical Quality Control

Supply Chain Management

Inventory Management

Aggregate Operations Planning

Material Requirements Planning and Enterprise Resource Planning

A: Just-In-Time and Lean Production

B: Just-In-Time and Lean Production

Job and Staff Scheduling

Project Management

A: Waiting-Line Analysis

B: Waiting-Line Analysis

Filters