Question 1

Which of the following is not a step in the quality control planning process?

Accepted Answer

A)  Define the quality characteristic to be controlled. 
B)  Determine a quality control point in the process. 
C)  Eliminate all defects found. 
D)  Plan how inspection is to be done. 
E)  All of the choices are steps. 
A)  Define the quality characteristic to be controlled. 
B)  Determine a quality control point in the process. 
C)  Eliminate all defects found. 
D)  Plan how inspection is to be done. 
E)  All of the choices are steps.

Question 2

Given the following process control data for a quality attribute (three samples of size 400 each):
  
-If the process proportion of defectives is unknown,what is the estimate of it?

Accepted Answer

The answer of Given the following process control data for...

Question 3

Even when the sample size is fairly small,the sampling distribution can be assumed to be approximately normal even if the underlying process distribution is not normally distributed.

Accepted Answer

A) True 
 B)False

Question 4

Given the following process control data for a normally distributed quality variable (three samples of size four each):
  
-If the process is known to have a mean of 15 and a standard deviation of 3,what are the three sigma upper and lower control limits for an x-bar chart?

Accepted Answer

@#IMG-DLM& Lower lim

Question 5

Statistical process control is based on comparing periodic samples from a process to predetermined limits.

Accepted Answer

A) True 
 B)False

Question 6

Low-cost,high-volume items typically require relatively low levels of inspection.

Accepted Answer

A) True 
 B)False

Question 7

Six sigma quality refers to achieving process variation so small that the half-width of the design specification equals six times the standard deviation of the process.

Accepted Answer

A) True 
 B)False

Question 8

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

Accepted Answer

A) True 
 B)False

Question 9

Given the following process control data for a quality attribute (three samples of size 400 each):
  
-What is the sample proportion of defectives for sample #1?
 #2?
 #3?

Accepted Answer

The answer of Given the following process control data for...

Question 10

Using the factors for three sigma control limits,what are the sample range (R)chart upper and lower control limits?

Accepted Answer

A)  11.14 and 0 
B)  9.88 and 0 
C)  8.66 and 0 
D)  4.94 and 0 
E)  4.33 and 0 
A)  11.14 and 0 
B)  9.88 and 0 
C)  8.66 and 0 
D)  4.94 and 0 
E)  4.33 and 0

Question 11

Attributes are process characteristics that must be measured rather than counted.

Accepted Answer

A) True 
 B)False

Question 12

Given the following process control data for a quality attribute (three samples of size 400 each):
  
-If the process proportion of defectives is unknown,using .10 alpha risk control limits,do any of the sample proportions indicate an out-of-control process proportion of defectives?

Accepted Answer

The answer of Given the following process control data for...

Question 13

The main task in process control is to distinguish assignable from random variation.

Accepted Answer

A) True 
 B)False

Question 14

Given the following process control data for a quality attribute (three samples of size 400 each):
  
-If the process proportion of defectives is unknown,what is the alpha risk (probability of Type I error)for upper and lower control limits of .115 and .085 respectively?
 .13 and .07?
 .145 and .055?

Accepted Answer

The answer of Given the following process control data for...

Question 15

What is the sample average range based upon this limited sample?

Accepted Answer

A)  2.0 
B)  4.33 
C)  5.4 
D)  6.0 
E)  9.0 
A)  2.0 
B)  4.33 
C)  5.4 
D)  6.0 
E)  9.0

Question 16

A process capability index (Cp)of 0.70 indicates that a process is capable of producing to design specifications.

Accepted Answer

A) True 
 B)False

Question 17

For which of the following would a p-chart be used?

Accepted Answer

A)  Monitor the process means for samples. 
B)  Monitor dispersion in sample data. 
C)  Monitor the proportion of defectives in a sample. 
D)  Monitor the number of defects per unit. 
E)  Monitor the range of values in samples. 
A)  Monitor the process means for samples. 
B)  Monitor dispersion in sample data. 
C)  Monitor the proportion of defectives in a sample. 
D)  Monitor the number of defects per unit. 
E)  Monitor the range of values in samples.

Question 18

A point which is outside of the lower control limit on an R-chart:

Accepted Answer

A)  is an indication that no process variation is present. 
B)  should be ignored because it signifies very low process variation. 
C)  should be investigated because it could indicate improvements in the methods used in a process. 
D)  should be ignored unless another point is outside that limit. 
E)  is impossible because the lower limit is always zero. 
A)  is an indication that no process variation is present. 
B)  should be ignored because it signifies very low process variation. 
C)  should be investigated because it could indicate improvements in the methods used in a process. 
D)  should be ignored unless another point is outside that limit. 
E)  is impossible because the lower limit is always zero.

Question 19

If upper and lower control limits were set as 0.028 and 0.010,which machine(s),if any,appear(s)to be out-of-control for process proportion of defectives?

Accepted Answer

A)  Machine #3 only 
B)  Machine #4 only 
C)  Machines #3 and #4 
D)  Machines #2 and #3 
E)  None of the machines. 
A)  Machine #3 only 
B)  Machine #4 only 
C)  Machines #3 and #4 
D)  Machines #2 and #3 
E)  None of the machines.

Question 20

Given the following process control data for a quality attribute (three samples of size 400 each):
  
-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

Exam 10: A: Statistical Quality Control

Which of the following is not a step in the quality control planning process?

Given the following process control data for a quality attribute (three samples of size 400 each): -If the process proportion of defectives is unknown,what is the estimate of it?

Even when the sample size is fairly small,the sampling distribution can be assumed to be approximately normal even if the underlying process distribution is not normally distributed.

Given the following process control data for a normally distributed quality variable (three samples of size four each): -If the process is known to have a mean of 15 and a standard deviation of 3,what are the three sigma upper and lower control limits for an x-bar chart?

Statistical process control is based on comparing periodic samples from a process to predetermined limits.

Low-cost,high-volume items typically require relatively low levels of inspection.

Six sigma quality refers to achieving process variation so small that the half-width of the design specification equals six times the standard deviation of the process.

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

Given the following process control data for a quality attribute (three samples of size 400 each): -What is the sample proportion of defectives for sample #1? #2? #3?

Using the factors for three sigma control limits,what are the sample range (R)chart upper and lower control limits?

Attributes are process characteristics that must be measured rather than counted.

Given the following process control data for a quality attribute (three samples of size 400 each): -If the process proportion of defectives is unknown,using .10 alpha risk control limits,do any of the sample proportions indicate an out-of-control process proportion of defectives?

The main task in process control is to distinguish assignable from random variation.

Given the following process control data for a quality attribute (three samples of size 400 each): -If the process proportion of defectives is unknown,what is the alpha risk (probability of Type I error)for upper and lower control limits of .115 and .085 respectively? .13 and .07? .145 and .055?

What is the sample average range based upon this limited sample?

A process capability index (Cp)of 0.70 indicates that a process is capable of producing to design specifications.

For which of the following would a p-chart be used?

A point which is outside of the lower control limit on an R-chart:

If upper and lower control limits were set as 0.028 and 0.010,which machine(s),if any,appear(s)to be out-of-control for process proportion of defectives?

Given the following process control data for a quality attribute (three samples of size 400 each): -If the process proportion of defectives is unknown,what are the upper and lower control limits for an alpha risk of .10? .05? .01?

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

A process capability index (C_p)of 0.70 indicates that a process is capable of producing to design specifications.