Question 1

A p-chart is used to monitor the fraction of defectives in the output of a process.

Accepted Answer

A) True 
 B)False

Question 2

When a process is in control, it results in there being, on average, 16 defects per unit of output. chart limits of 4 and 28 would lead to a _______ percent chance of a Type I error.

Accepted Answer

A)  68.26 
B)  95.44 
C)  31.74 
D)  0.26 
E)  4.56 
A)  68.26 
B)  95.44 
C)  31.74 
D)  0.26 
E)  4.56

Question 3

Organizations should work to improve process capability so that inspection efforts can become more:

Accepted Answer

A)  effective. 
B)  efficient. 
C)  necessary. 
D)  unnecessary. 
E)  widespread. 
A)  effective. 
B)  efficient. 
C)  necessary. 
D)  unnecessary. 
E)  widespread.

Question 4

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

Accepted Answer

A)  Define what is to be controlled. 
B)  Compare measurements to a standard. 
C)  100 percent inspection. 
D)  Take corrective action if necessary. 
E)  Evaluate corrective action. 
A)  Define what is to be controlled. 
B)  Compare measurements to a standard. 
C)  100 percent inspection. 
D)  Take corrective action if necessary. 
E)  Evaluate corrective action.

Question 5

A control chart used to monitor the number of defects per unit is the:

Accepted Answer

A)  p-chart. 
B)  R-chart. 
C)  x-bar chart. 
D)  c-chart. 
E)  Gantt chart. 
A)  p-chart. 
B)  R-chart. 
C)  x-bar chart. 
D)  c-chart. 
E)  Gantt chart.

Question 6

A time-ordered plot of representative sample statistics is called a(n):

Accepted Answer

A)  Gantt chart. 
B)  simo chart. 
C)  control chart. 
D)  up-down matrix. 
E)  standard deviation table. 
A)  Gantt chart. 
B)  simo chart. 
C)  control chart. 
D)  up-down matrix. 
E)  standard deviation table.

Question 7

A quality analyst wants to construct a sample mean chart for controlling a packaging process. He knows from past experience that whenever this process is in control, package weight is normally distributed with a mean of 20 ounces and a standard deviation of two ounces. Each day last week, he randomly selected four packages and weighed each: $$\begin{array} { l l l c l } 
\text { Day } &&{ \text { Weight (ounces) } } \
\hline \text { Monday } & 23 & 22 & 23 & 24 \
\text { Tuesday } & 23 & 21 & 19 & 21 \
\text { Wednesday } & 20 & 19 & 20 & 21 \
\text { Thursday } & 18 & 19 & 20 & 19 \
\text { Friday } & 18 & 20 & 22 & 20
\end{array}$$
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 8

Consider the following information: $$\begin{array} { | l | c | c | c | c | c | c | } 
\hline \text { Observations } & 1 & 2 & 3 & 4 & 5 & 6 \
\hline \text { Num. of defects } & 10 & 18 & 13 & 15 & 9 & 12 \
\hline
\end{array}$$
The number of runs above and below the sample median is:

Accepted Answer

A)  3. 
B)  4. 
C)  5. 
D)  6. 
E)  none of these. 
A)  3. 
B)  4. 
C)  5. 
D)  6. 
E)  none of these.

Question 9

A quality analyst wants to construct a control chart for determining whether four machines, all producing the same product, are in control with regard to a particular quality attribute. Accordingly, she inspected 1,000 units of output from each machine in random samples, with the following results: $$\begin{array} { c c } 
\text { Machine } & \text { Total Defectives } \
\hline \# 1 & 23 \
\# 2 & 15 \
\# 3 & 29 \
\# 4 & 13
\end{array}$$
What is the estimate of the process proportion of defectives?

Accepted Answer

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

Question 10

Processes that are in control eliminate variations.

Accepted Answer

A) True 
 B)False

Question 11

A quality analyst wants to construct a control chart for determining whether four machines, all producing the same product, are in control with regard to a particular quality attribute. Accordingly, she inspected 1,000 units of output from each machine in random samples, with the following results: $$\begin{array} { c c } 
\text { Machine } & \text { Total Defectives } \
\hline \# 1 & 23 \
\# 2 & 15 \
\# 3 & 29 \
\# 4 & 13
\end{array}$$
What are the control chart upper and lower control limits for an alpha risk of .05?

Accepted Answer

A)  .0272 and .0128 
B)  .0287 and .0113 
C)  .029 and .013 
D)  .0303 and .0097 
E)  .0332 and .0068 
A)  .0272 and .0128 
B)  .0287 and .0113 
C)  .029 and .013 
D)  .0303 and .0097 
E)  .0332 and .0068

Question 12

_______ variation is a variation whose cause can be identified.

Accepted Answer

A)  Assignable 
B)  Controllable 
C)  Random 
D)  Statistical 
E)  Theoretical 
A)  Assignable 
B)  Controllable 
C)  Random 
D)  Statistical 
E)  Theoretical

A p-chart is used to monitor the fraction of defectives in the output of a process.

When a process is in control, it results in there being, on average, 16 defects per unit of output. chart limits of 4 and 28 would lead to a _______ percent chance of a Type I error.

Organizations should work to improve process capability so that inspection efforts can become more:

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

A control chart used to monitor the number of defects per unit is the:

A time-ordered plot of representative sample statistics is called a(n):

Consider the following information: Observations 1 2 3 4 5 6 Num. of defects 10 18 13 15 9 12 The number of runs above and below the sample median is:

Processes that are in control eliminate variations.

_______ variation is a variation whose cause can be identified.

Introduction to Operations Management

Competitiveness

Forecasting

Product and Service Design

RELIABILITY – Static

Strategic Capacity Planning for Products and Services

Decision Theory– Static

Process Selection and Facility Layout

Work Design and Measurement

learning curve– Static

Location Planning and Analysis

The Transportation Model– Static

Management of Quality

Acceptance Sampling– Static

Aggregate Planning and Master Scheduling

MRP and ERP

Inventory Management

JIT and Lean Operations

Maintenance– Static

Supply Chain Management

Scheduling

Project Management

Management of Waiting Lines

Linear Programming

Filters

Exam 14: Quality Control

A p-chart is used to monitor the fraction of defectives in the output of a process.

When a process is in control, it results in there being, on average, 16 defects per unit of output. chart limits of 4 and 28 would lead to a _______ percent chance of a Type I error.

Organizations should work to improve process capability so that inspection efforts can become more:

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

A control chart used to monitor the number of defects per unit is the:

A time-ordered plot of representative sample statistics is called a(n):

Consider the following information: Observations 1 2 3 4 5 6 Num. of defects 10 18 13 15 9 12 The number of runs above and below the sample median is:

Processes that are in control eliminate variations.

_______ variation is a variation whose cause can be identified.

Introduction to Operations Management

Competitiveness

Forecasting

Product and Service Design

RELIABILITY – Static

Strategic Capacity Planning for Products and Services

Decision Theory– Static

Process Selection and Facility Layout

Work Design and Measurement

learning curve– Static

Location Planning and Analysis

The Transportation Model– Static

Management of Quality

Acceptance Sampling– Static

Aggregate Planning and Master Scheduling

MRP and ERP

Inventory Management

JIT and Lean Operations

Maintenance– Static

Supply Chain Management

Scheduling

Project Management

Management of Waiting Lines

Linear Programming

Filters