Question 1

Nonrandom variation results in a process that is not repeatable.

Accepted Answer

A) True 
 B)False

Question 2

Nonrandom variation is centered on a mean and occurs with a consistent amount of dispersion.

Accepted Answer

A) True 
 B)False

Question 3

A ________ is used when data are geometrically distributed.

Accepted Answer

A)  p chart 
B)  u chart 
C)  c chart 
D)  h chart 
E)  g chart 
A)  p chart 
B)  u chart 
C)  c chart 
D)  h chart 
E)  g chart

Question 4

The ________ reflects a population distribution.

Accepted Answer

A)  p chart 
B)  s chart 
C)  u chart 
D)  X chart 
E)  R chart 
A)  p chart 
B)  s chart 
C)  u chart 
D)  X chart 
E)  R chart

Question 5

A ________ subgroup is a group of data that is logically homogeneous.

Accepted Answer

A)  primary 
B)  rational 
C)  process 
D)  variable 
E)  stable 
A)  primary 
B)  rational 
C)  process 
D)  variable 
E)  stable

Question 6

Random variation is also referred to as uncontrollable variation.

Accepted Answer

A) True 
 B)False

Question 7

The ________ is often used where variation in a process is small.

Accepted Answer

A)  s chart 
B)  X chart 
C)  np chart 
D)  u chart 
E)  c chart 
A)  s chart 
B)  X chart 
C)  np chart 
D)  u chart 
E)  c chart

Question 8

The ________ is used to identify slight but sustained shifts in a universe where there is no independence between observations.

Accepted Answer

A)  cusum chart 
B)  moving average chart 
C)  s chart 
D)  np chart 
E)  R chart 
A)  cusum chart 
B)  moving average chart 
C)  s chart 
D)  np chart 
E)  R chart

Question 9

The moving average chart uses past information to predict what the next process outcome will be.

Accepted Answer

A) True 
 B)False

Question 10

The ________ is used for monitoring variables and measurement on a continuous scale.

Accepted Answer

A)  cusum chart 
B)  c chart 
C)  X chart 
D)  np chart 
E)  moving average chart 
A)  cusum chart 
B)  c chart 
C)  X chart 
D)  np chart 
E)  moving average chart

Question 11

Process stability refers to the ability of a process to produce a product that meets specification.

Accepted Answer

A) True 
 B)False

Question 12

A process is capable if only common variation is present in the process.

Accepted Answer

A) True 
 B)False

Question 13

A(n) ________ is a continuous measurement such as weight, height, or volume.

Accepted Answer

A)  variable 
B)  attribute 
C)  paradigm 
D)  criterion 
E)  element 
A)  variable 
B)  attribute 
C)  paradigm 
D)  criterion 
E)  element

Question 14

Process ________ means that the variation we observe in the process is random variation and not nonrandom variation.

Accepted Answer

A)  optimization 
B)  capability 
C)  control 
D)  variability 
E)  stability 
A)  optimization 
B)  capability 
C)  control 
D)  variability 
E)  stability

Question 15

To ensure that processes are stable, data are gathered in ________.

Accepted Answer

A)  batches 
B)  networks 
C)  samples 
D)  lots 
E)  sets 
A)  batches 
B)  networks 
C)  samples 
D)  lots 
E)  sets

Question 16

A(n) ________ is used when data are hypergeometrically distributed.

Accepted Answer

A)  p chart 
B)  u chart 
C)  c chart 
D)  h chart 
E)  g chart 
A)  p chart 
B)  u chart 
C)  c chart 
D)  h chart 
E)  g chart

Question 17

A g chart is useful when data are hypergeometrically distributed.

Accepted Answer

A) True 
 B)False

Question 18

The diameter of a mason jar is 3 inches but can be as large as 3.03 inches and as small as 2.97 inches. Twenty five samples of mason jars are taken and it is discovered that these components have a grand mean of 3.01 inches and a standard deviation of 0.02 inches. What is the capability of this process?

Accepted Answer

A)  0.08 
B)  0.16 
C)  0.33 
D)  0.49 
E)  0.66 
A)  0.08 
B)  0.16 
C)  0.33 
D)  0.49 
E)  0.66

Question 19

X chart limits are control limits and not natural limits.

Accepted Answer

A) True 
 B)False

Question 20

________ refers to the ability of a process to produce a product that meets specifications.

Accepted Answer

A)  Process stability 
B)  Process attribute 
C)  Process variability 
D)  Process capability 
E)  Process conformance 
A)  Process stability 
B)  Process attribute 
C)  Process variability 
D)  Process capability 
E)  Process conformance

Nonrandom variation results in a process that is not repeatable.

Nonrandom variation is centered on a mean and occurs with a consistent amount of dispersion.

A ________ is used when data are geometrically distributed.

The ________ reflects a population distribution.

A ________ subgroup is a group of data that is logically homogeneous.

Random variation is also referred to as uncontrollable variation.

The ________ is often used where variation in a process is small.

The ________ is used to identify slight but sustained shifts in a universe where there is no independence between observations.

The moving average chart uses past information to predict what the next process outcome will be.

The ________ is used for monitoring variables and measurement on a continuous scale.

Process stability refers to the ability of a process to produce a product that meets specification.

A process is capable if only common variation is present in the process.

A(n) ________ is a continuous measurement such as weight, height, or volume.

Process ________ means that the variation we observe in the process is random variation and not nonrandom variation.

To ensure that processes are stable, data are gathered in ________.

A(n) ________ is used when data are hypergeometrically distributed.

A g chart is useful when data are hypergeometrically distributed.

X chart limits are control limits and not natural limits.

________ refers to the ability of a process to produce a product that meets specifications.

Differing Perspectives on Quality

Quality Theory

Global Supply Chain Quality and International Quality Standards

Strategic Quality Planning

The Voice of the Customer

The Voice of the Market

Quality and Innovation in Product and Process Design

Designing Quality Services

Managing Supplier Quality in the Supply Chain

The Tools of Quality

Statistically Based Quality Improvement for Attributes

Six Sigma Management and Lean Tools

Managing Quality Improvement Teams and Projects

Implementing and Validating the Quality System

Filters

Exam 11: Statistically Based Quality Improvement for Variables

Nonrandom variation results in a process that is not repeatable.

Nonrandom variation is centered on a mean and occurs with a consistent amount of dispersion.

A ________ is used when data are geometrically distributed.

The ________ reflects a population distribution.

A ________ subgroup is a group of data that is logically homogeneous.

Random variation is also referred to as uncontrollable variation.

The ________ is often used where variation in a process is small.

The ________ is used to identify slight but sustained shifts in a universe where there is no independence between observations.

The moving average chart uses past information to predict what the next process outcome will be.

The ________ is used for monitoring variables and measurement on a continuous scale.

Process stability refers to the ability of a process to produce a product that meets specification.

A process is capable if only common variation is present in the process.

A(n) ________ is a continuous measurement such as weight, height, or volume.

Process ________ means that the variation we observe in the process is random variation and not nonrandom variation.

To ensure that processes are stable, data are gathered in ________.

A(n) ________ is used when data are hypergeometrically distributed.

A g chart is useful when data are hypergeometrically distributed.

X chart limits are control limits and not natural limits.

________ refers to the ability of a process to produce a product that meets specifications.

Differing Perspectives on Quality

Quality Theory

Global Supply Chain Quality and International Quality Standards

Strategic Quality Planning

The Voice of the Customer

The Voice of the Market

Quality and Innovation in Product and Process Design

Designing Quality Services

Managing Supplier Quality in the Supply Chain

The Tools of Quality

Statistically Based Quality Improvement for Attributes

Six Sigma Management and Lean Tools

Managing Quality Improvement Teams and Projects

Implementing and Validating the Quality System

Filters