GREEN BELT EXAM 4 PRACTICE REVIEW 2026
TESTED QUESTIONS
◉ acceptance quality limit (AQL). Answer: In a continuing series of
lots, a quality level that, for the purpose of sampling inspection, is
the limit of a satisfactory process average.
◉ acceptance sampling. Answer: Inspection of a sample from a lot to
decide whether to accept that lot. There are two types: attributes
sampling and variables sampling. In attributes sampling, the
presence or absence of a characteristic is noted in each of the units
inspected. In variables sampling, the numerical magnitude of a
characteristic is measured and recorded for each inspected unit; this
involves reference to a continuous scale of some kind.
◉ acceptance sampling plan. Answer: A specific plan that indicates
the sampling sizes and associated acceptance or nonacceptance
criteria to be used. In attributes sampling, for example, there are
single, double, multiple, sequential, chain, and skip-lot sampling
plans. In variables sampling, there are single, double, and sequential
sampling plans. For detailed descriptions of these plans, see the
standard ANSI/ISO/ASQ A3534-2-1993: Statistics—Vocabulary and
symbols— Statistical quality control.
,◉ accuracy. Answer: The closeness of agreement between a test
result or measurement result and the accepted/true value.2
◉ activity based costing. Answer: An accounting system that assigns
costs to a product based on the amount of resources used to design,
order, or make it.
◉ activity network diagram. Answer: A diagram that links tasks with
direct arrows showing the path through the task list. Tasks are
linked when a task is dependent on a preceding task. (AKA arrow
diagram.) Included with parallel activity paths
◉ Advanced Product Quality Planning (APQP). Answer: High-level
automotive process for product realization, from design through
production part approval.
◉ affinity diagram. Answer: A management tool for organizing
information (usually gathered during a brainstorming activity) into
categories. To group ideas for a new or potentially complex problem,
a team would most likely employ:
◉ American National Standards Institute (ANSI). Answer: A private,
nonprofit organization that administers and coordinates the U.S.
voluntary standardization and conformity assessment system. It is
the U.S. member body in the International Organization for
Standardization, known as ISO.
,◉ American Society for Quality (ASQ). Answer: A global community
of people dedicated to quality who share the ideas and tools that
make our world work better. With individual and organizational
members around the world, ASQ has the reputation and reach to
bring together the diverse quality champions who are transforming
the world's corporations, organizations, and communities to meet
tomorrow's critical challenges.
◉ analysis of means (ANOM). Answer: A statistical procedure for
troubleshooting industrial processes and analyzing the results of
experimental designs with factors at fixed levels. It provides a
graphical display of data. Ellis R. Ott developed the procedure in
1967 because he observed that nonstatisticians had difficulty
understanding analysis of variance. Analysis of means is easier for
quality practitioners to use because it is an extension of the control
chart. In 1973, Edward G. Schilling further extended the concept,
enabling analysis of means to be used with nonnormal distributions
and attributes data in which the normal approximation to the
binomial distribution does not apply. This is referred to as analysis
of means for treatment effects.
◉ analysis of variance (ANOVA). Answer: A basic statistical
technique for determining the proportion of influence a factor or set
of factors has on total variation. It subdivides the total variation of a
data set into meaningful component parts associated with specific
sources of variation to test a hypothesis on the parameters of the
model or to estimate variance components. There are three models:
, fixed, random, and mixed. Alternative hypothesis is valid for one way
Anova is at least one of the group means is different.
◉ analytical (inferential) studies. Answer: A set of techniques used
to arrive at a conclusion about a population based upon the
information contained in a sample taken from that population.
◉ arrow diagram. Answer: A planning tool used to diagram a
sequence of events or activities (nodes) and their interconnectivity.
It is used for scheduling and especially for determining the critical
path through nodes. (AKA activity network diagram.)
◉ assignable cause. Answer: A name for the source of variation in a
process that is not due to chance and therefore can be identified and
eliminated. Also called "special cause."
◉ attributes (discrete) data. Answer: Go/no-go information. The
control charts based on attributes data include percent chart,
number of affected units chart, count chart, count per unit chart,
quality score chart, and demerit chart.
◉ attributes, method of. Answer: Method of measuring quality that
consists of noting the presence (or absence) of some characteristic
(attribute) in each of the units under consideration and counting
how many units do (or do not) possess it. Example: go/no-go
gauging of a dimension.
TESTED QUESTIONS
◉ acceptance quality limit (AQL). Answer: In a continuing series of
lots, a quality level that, for the purpose of sampling inspection, is
the limit of a satisfactory process average.
◉ acceptance sampling. Answer: Inspection of a sample from a lot to
decide whether to accept that lot. There are two types: attributes
sampling and variables sampling. In attributes sampling, the
presence or absence of a characteristic is noted in each of the units
inspected. In variables sampling, the numerical magnitude of a
characteristic is measured and recorded for each inspected unit; this
involves reference to a continuous scale of some kind.
◉ acceptance sampling plan. Answer: A specific plan that indicates
the sampling sizes and associated acceptance or nonacceptance
criteria to be used. In attributes sampling, for example, there are
single, double, multiple, sequential, chain, and skip-lot sampling
plans. In variables sampling, there are single, double, and sequential
sampling plans. For detailed descriptions of these plans, see the
standard ANSI/ISO/ASQ A3534-2-1993: Statistics—Vocabulary and
symbols— Statistical quality control.
,◉ accuracy. Answer: The closeness of agreement between a test
result or measurement result and the accepted/true value.2
◉ activity based costing. Answer: An accounting system that assigns
costs to a product based on the amount of resources used to design,
order, or make it.
◉ activity network diagram. Answer: A diagram that links tasks with
direct arrows showing the path through the task list. Tasks are
linked when a task is dependent on a preceding task. (AKA arrow
diagram.) Included with parallel activity paths
◉ Advanced Product Quality Planning (APQP). Answer: High-level
automotive process for product realization, from design through
production part approval.
◉ affinity diagram. Answer: A management tool for organizing
information (usually gathered during a brainstorming activity) into
categories. To group ideas for a new or potentially complex problem,
a team would most likely employ:
◉ American National Standards Institute (ANSI). Answer: A private,
nonprofit organization that administers and coordinates the U.S.
voluntary standardization and conformity assessment system. It is
the U.S. member body in the International Organization for
Standardization, known as ISO.
,◉ American Society for Quality (ASQ). Answer: A global community
of people dedicated to quality who share the ideas and tools that
make our world work better. With individual and organizational
members around the world, ASQ has the reputation and reach to
bring together the diverse quality champions who are transforming
the world's corporations, organizations, and communities to meet
tomorrow's critical challenges.
◉ analysis of means (ANOM). Answer: A statistical procedure for
troubleshooting industrial processes and analyzing the results of
experimental designs with factors at fixed levels. It provides a
graphical display of data. Ellis R. Ott developed the procedure in
1967 because he observed that nonstatisticians had difficulty
understanding analysis of variance. Analysis of means is easier for
quality practitioners to use because it is an extension of the control
chart. In 1973, Edward G. Schilling further extended the concept,
enabling analysis of means to be used with nonnormal distributions
and attributes data in which the normal approximation to the
binomial distribution does not apply. This is referred to as analysis
of means for treatment effects.
◉ analysis of variance (ANOVA). Answer: A basic statistical
technique for determining the proportion of influence a factor or set
of factors has on total variation. It subdivides the total variation of a
data set into meaningful component parts associated with specific
sources of variation to test a hypothesis on the parameters of the
model or to estimate variance components. There are three models:
, fixed, random, and mixed. Alternative hypothesis is valid for one way
Anova is at least one of the group means is different.
◉ analytical (inferential) studies. Answer: A set of techniques used
to arrive at a conclusion about a population based upon the
information contained in a sample taken from that population.
◉ arrow diagram. Answer: A planning tool used to diagram a
sequence of events or activities (nodes) and their interconnectivity.
It is used for scheduling and especially for determining the critical
path through nodes. (AKA activity network diagram.)
◉ assignable cause. Answer: A name for the source of variation in a
process that is not due to chance and therefore can be identified and
eliminated. Also called "special cause."
◉ attributes (discrete) data. Answer: Go/no-go information. The
control charts based on attributes data include percent chart,
number of affected units chart, count chart, count per unit chart,
quality score chart, and demerit chart.
◉ attributes, method of. Answer: Method of measuring quality that
consists of noting the presence (or absence) of some characteristic
(attribute) in each of the units under consideration and counting
how many units do (or do not) possess it. Example: go/no-go
gauging of a dimension.
