Question 1

What measures the difference between the largest and smallest observations in a set of data?

Accepted Answer

A) Range 
B) Coefficient of variation 
C) Coefficient of kurtosis 
D) Coefficient of skewness 
E) Standard deviation 
A) Range 
B) Coefficient of variation 
C) Coefficient of kurtosis 
D) Coefficient of skewness 
E) Standard deviation

Question 2

Which of the following would imply that data observations are closely clustered around the mean?

Accepted Answer

A) Small range and small standard deviation 
B) Small range and large standard deviation 
C) Large range and small standard deviation 
D) Large range and large standard deviation 
E) Neither range nor standard deviation has anything to do with "clustering." 
A) Small range and small standard deviation 
B) Small range and large standard deviation 
C) Large range and small standard deviation 
D) Large range and large standard deviation 
E) Neither range nor standard deviation has anything to do with "clustering."

Question 3

What are the two aspects to implementing the six-sigma concept?

Accepted Answer

A) numerically controlled machines and inventory management 
B) numerically controlled machines and people involvement 
C) numerically controlled machines and technical tools 
D) technical tools and people involvement 
E) inventory management and technical tools 
A) numerically controlled machines and inventory management 
B) numerically controlled machines and people involvement 
C) numerically controlled machines and technical tools 
D) technical tools and people involvement 
E) inventory management and technical tools

Question 4

Consider a p-chart measuring the percentage of defective light bulbs. If the LCL is .04 and a sample has 1% defects, what is the implication?

Accepted Answer

A) The process is in a state of control. 
B) The process is out of control even though the variation is "good." 
C) The value of sigma must be increased. 
D) The process has too many errors. 
E) A calculation error must have occurred. 
A) The process is in a state of control. 
B) The process is out of control even though the variation is "good." 
C) The value of sigma must be increased. 
D) The process has too many errors. 
E) A calculation error must have occurred.

Question 5

Six sigma programs strive to set control limits at ________________________.

Accepted Answer

the center

Question 6

A p-chart is an example of what?

Accepted Answer

A) Traditional statistical tools 
B) Fishbone diagramming 
C) Acceptance sampling 
D) Experimental design 
E) Statistical process control 
A) Traditional statistical tools 
B) Fishbone diagramming 
C) Acceptance sampling 
D) Experimental design 
E) Statistical process control

Question 7

Product specifications are preset, whereas control limits are computed after observing data.

Accepted Answer

A) True 
 B)False

Question 8

A process can be considered in a state of control even if one observation is 1.75 standard deviations above the mean.

Accepted Answer

A) True 
 B)False

Question 9

Mrs. Crabapple has a class with three students, and she has had four quizzes so far this semester. She has created control charts to determine if the variation in students' scores from quiz to quiz is exhibiting only natural variation. Each of the quiz scores is shown below. The upper and lower control limits for the x chart are 109.6 and 34.9, respectively. The upper and lower control limits for the R chart are 93.95 and 0, respectively.
 
Is the process in a state of control?

Accepted Answer

Yes (X-Bar = ∑scores/n Bart = (75+62+90+

Question 10

What is the formula for an x-bar chart's center line?

Accepted Answer

The answer of What is the formula for an x-bar...

Question 11

What is the relationship between Cp and Cpk?

Accepted Answer

A) Cp F1F1F1S1F1F1F10 2 Cpk 
B) Cp F1F1F1S1F1F1F10 Cpk 
C) Cp F1F1F1S1F1F1F10 Cpk 
D) Cp F1F1F1S1F1F1F10 2Cpk 
E) Cp F1F1F1S1F1F1F10 Cpk F1F1F1S1F1F1F10 3F1F1F1S1F1F1F10 
A) Cp F1F1F1S1F1F1F10 2 Cpk 
B) Cp F1F1F1S1F1F1F10 Cpk 
C) Cp F1F1F1S1F1F1F10 Cpk 
D) Cp F1F1F1S1F1F1F10 2Cpk 
E) Cp F1F1F1S1F1F1F10 Cpk F1F1F1S1F1F1F10 3F1F1F1S1F1F1F10

Question 12

Suppose that you want to monitor the average ounces of a process that fills beer cans. Which control chart would be appropriate?

Accepted Answer

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

Question 13

What is a c-chart?

Accepted Answer

a control chart that

Question 14

A skewed distribution implies that assignable causes of variation may be present.

Accepted Answer

A) True 
 B)False

Question 15

What is an R-chart?

Accepted Answer

a control chart that

Question 16

A p-chart monitors the number of defects per unit.

Accepted Answer

A) True 
 B)False

Question 17

A process capability index (Cp)value of 1 means that what percent of products produced will fall within the specification limits?

Accepted Answer

A) 0.26% 
B) 90.00% 
C) 95.44% 
D) 99.74% 
E) 100.00% 
A) 0.26% 
B) 90.00% 
C) 95.44% 
D) 99.74% 
E) 100.00%

Question 18

What are the four most common control charts?

Accepted Answer

A) x-bar, R, p, c 
B) x-bar, R, p, OC 
C) x-bar, R, c, OC 
D) x-bar, p, c, OC 
E) R, p, c, OC 
A) x-bar, R, p, c 
B) x-bar, R, p, OC 
C) x-bar, R, c, OC 
D) x-bar, p, c, OC 
E) R, p, c, OC

Question 19

Upper and lower control limits are usually set at F1F1F1S1F1F1F10 how many standard deviations from the mean?

Accepted Answer

A) 0.5 
B) 1.0 
C) 2.0 
D) 3.0 
E) 6.0 
A) 0.5 
B) 1.0 
C) 2.0 
D) 3.0 
E) 6.0

Question 20

A c-chart is an example of what?

Accepted Answer

A) Traditional statistical tools 
B) Fishbone diagramming 
C) Acceptance sampling 
D) Experimental design 
E) Statistical process control 
A) Traditional statistical tools 
B) Fishbone diagramming 
C) Acceptance sampling 
D) Experimental design 
E) Statistical process control

What measures the difference between the largest and smallest observations in a set of data?

Which of the following would imply that data observations are closely clustered around the mean?

What are the two aspects to implementing the six-sigma concept?

Consider a p-chart measuring the percentage of defective light bulbs. If the LCL is .04 and a sample has 1% defects, what is the implication?

Six sigma programs strive to set control limits at ________________________.

A p-chart is an example of what?

Product specifications are preset, whereas control limits are computed after observing data.

A process can be considered in a state of control even if one observation is 1.75 standard deviations above the mean.

What is the formula for an x-bar chart's center line?

What is the relationship between C_pand C_pk?

Suppose that you want to monitor the average ounces of a process that fills beer cans. Which control chart would be appropriate?

What is a c-chart?

A skewed distribution implies that assignable causes of variation may be present.

What is an R-chart?

A p-chart monitors the number of defects per unit.

A process capability index (C_p)value of 1 means that what percent of products produced will fall within the specification limits?

What are the four most common control charts?

Upper and lower control limits are usually set at  how many standard deviations from the mean?

A c-chart is an example of what?

Introduction to Operations Management

Operations Strategy and Competitiveness

Product Design and Process Selection

E-Commerce and Supply Chain Management

Total Quality Management

Just-In-Time and Lean Systems

Forecasting

Capacity Planning and Facility Location

Facility Layout

Work System Design

Independent Demand Inventory Management

Aggregate Planning

Resource Planning

Scheduling

Project Management

Spreadsheet Modeling: an Introduction

Spreadsheet Modeling: an Introduction

Waiting Line Models

Master Scheduling and Rough-Cut Capacity Planning

Filters

Exam 6: Statistical Quality Control

What measures the difference between the largest and smallest observations in a set of data?

Which of the following would imply that data observations are closely clustered around the mean?

What are the two aspects to implementing the six-sigma concept?

Consider a p-chart measuring the percentage of defective light bulbs. If the LCL is .04 and a sample has 1% defects, what is the implication?

Six sigma programs strive to set control limits at ________________________.

A p-chart is an example of what?

Product specifications are preset, whereas control limits are computed after observing data.

A process can be considered in a state of control even if one observation is 1.75 standard deviations above the mean.

What is the formula for an x-bar chart's center line?

What is the relationship between Cp and Cpk?

Suppose that you want to monitor the average ounces of a process that fills beer cans. Which control chart would be appropriate?

What is a c-chart?

A skewed distribution implies that assignable causes of variation may be present.

What is an R-chart?

A p-chart monitors the number of defects per unit.

A process capability index (Cp)value of 1 means that what percent of products produced will fall within the specification limits?

What are the four most common control charts?

Upper and lower control limits are usually set at  how many standard deviations from the mean?

A c-chart is an example of what?

Introduction to Operations Management

Operations Strategy and Competitiveness

Product Design and Process Selection

E-Commerce and Supply Chain Management

Total Quality Management

Just-In-Time and Lean Systems

Forecasting

Capacity Planning and Facility Location

Facility Layout

Work System Design

Independent Demand Inventory Management

Aggregate Planning

Resource Planning

Scheduling

Project Management

Spreadsheet Modeling: an Introduction

Spreadsheet Modeling: an Introduction

Waiting Line Models

Master Scheduling and Rough-Cut Capacity Planning

Filters

What is the relationship between C_pand C_pk?

A process capability index (C_p)value of 1 means that what percent of products produced will fall within the specification limits?