ASQ Certified Six Sigma Green Belt (CSSGB)  Body of Knowledge (BoK)
Included in
this body of knowledge are explanations (subtext) and cognitive
levels for each topic or subtopic in the test. These details will be used by the Examination Development Committee
as guidelines for writing test questions and are designed to help candidates prepare for the exam by identifying
specific content within each topic that can be tested. Except where specified, the subtext is not intended to limit
the subject or be allinclusive of what might be covered in an exam but is intended to clarify how topics are
related to the role of the Certified Six Sigma Green Belt. The descriptor in parentheses at the end of each subtext
entry refers to the highest cognitive level at which the topic will be tested. A complete
description of cognitive levels is provided at the end of this document.
In short and
summary, there are 5 Modules consists of:
Module
I  Overview: Six Sigma and the Organization (15 Questions)
Moduel II  Six Sigma  Define (25
Questions)
Module III  Six Sigma  Measure
(30 Questions)
Module IV  Six Sigma  Analyze (15 Questions)
Module V  Six Sigma  Improve & Control (15 Questions)
Detail description of Body of Knowledge (BoK) as below:(Bloom's Taxonomy
Cognition Level indicated in Italic and in pink
color)

I. Overview: Six
Sigma and the Organization (15 Questions)


A. Six sigma and organizational
goals


1. Value of six sigma
Recognize why organizations use six sigma, how they apply its philosophy
and goals, and the origins of six sigma (Juran, Deming, Shewhart, etc.). Describe how process
inputs, outputs, and feedback impact the larger organization. (Understand)

2. Organizational drivers and
metrics
Recognize key drivers for business (profit, market share, customer
satisfaction, efficiency, product differentiation) and how key metrics and scorecards are
developed and impact the entire organization. (Understand)

3. Organizational goals and six sigma
projects
Describe the project selection process including knowing when to use six
sigma improvement methodology (DMAIC) as opposed to other problemsolving tools, and confirm
that the project supports and is linked to organizational goals. (Understand)

B. Lean principles in the
organization


1. Lean concepts and
tools
Define and describe concepts such as value chain, flow, pull, perfection,
etc., and tools commonly used to eliminate waste, including kaizen, 5S, errorproofing,
valuestream mapping, etc.(Understand)

2.
Valueadded and nonvalueadded activities
Identify waste in terms of excess inventory, space, test inspection, rework, transportation,
storage, etc., and reduce cycle time to improve throughput. (Understand)

3. Theory of
constraints
Describe the theory of constraints. (Understand)

C. Design for Six Sigma (DFSS) in
the organization


1. Quality function deployment
(QFD)
Describe how QFD fits into the overall DFSS process.
(Understand) (Note: the application of QFD is
covered in II.A.6.)

2. Design and process failure mode and effects
analysis (DFMEA & PFMEA)
Define and distinguish between design FMEA (DFMEA) and process (PFMEA)
and interpret associated data. (Analyze) (Note: the
application of FMEA is covered in II.D.2.)

3. Road maps for DFSS
Describe and distinguish between DMADV (define, measure, analyze, design,
verify) and IDOV (identify, design, optimize, verify), identify how they relate to DMAIC and
how they help close the loop on improving the end product/process during the design (DFSS)
phase. (Understand)

II. Six Sigma –
Define(25
Questions)


A. Process Management for
Projects


1. Process elements
Define and describe process components and boundaries. Recognize how
processes cross various functional areas and the challenges that result for process improvement
efforts. (Analyze)

2.
Owners and stakeholders
Identify process owners, internal and external customers, and other stakeholders in a project.
(Apply)

3.
Identify customers
Identify and classify internal and external customers as applicable to a
particular project, and show how projects impact customers. (Apply)

4. Collect customer
data
Use various methods to collect customer feedback (e.g., surveys, focus
groups, interviews, observation) and identify the key elements that make these tools effective.
Review survey questions to eliminate bias, vagueness, etc.(Apply)

5. Analyze customer
data
Use
graphical, statistical, and qualitative tools to analyze customer feedback.
(Analyze)

6.
Translate customer requirements
Assist in translating customer feedback into project goals and
objectives, including critical to quality (CTQ) attributes and requirements statements. Use
voice of the customer analysis tools such as quality function deployment (QFD) to translate
customer requirements into performance measures. (Apply)

B. Project management
basics


1. Project charter and problem
statement
Define
and describe elements of a project charter and develop a problem statement, including
baseline and improvement goals. (Apply)

2.
Project scope
Assist with the development of project definition/scope using Pareto charts, process maps, etc.
(Apply)

3. Project metrics
Assist
with the development of primary and consequential metrics (e.g., quality, cycle time,
cost) and establish key project metrics that relate to the voice of the customer.
(Apply)

4.
Project planning tools
Use project tools such as Gantt charts, critical path method (CPM), and program evaluation and
review technique (PERT) charts, etc. (Apply)

5.
Project documentation
Provide input and select the proper vehicle for presenting project documentation (e.g.,
spreadsheet output, storyboards, etc.) at phase reviews, management reviews and other
presentations.(Apply)

6. Project risk
analysis
Describe the purpose and benefit of project risk analysis, including
resources, financials, impact on customers and other stakeholders, etc. (Understand)

7.
Project closure
Describe the objectives achieved and apply the lessons learned to identify additional
opportunities. (Apply)

C. Management and planning tools
Define, select, and use 1) affinity diagrams, 2) interrelationship digraphs, 3)
tree diagrams, 4) prioritization matrices, 5) matrix diagrams, 6) process decision program (PDPC)
charts, and 7) activity network diagrams.(Apply)

D. Business results for
projects


1.
Process performance
Calculate process performance metrics such as defects per unit (DPU), rolled throughput yield
(RTY), cost of poor quality (COPQ), defects per million opportunities (DPMO) sigma levels and
process capability indices. Track process performance measures to drive project decisions.
(Analyze)

2. Failure mode and effects analysis
(FMEA)
Define and describe failure mode and effects analysis (FMEA). Describe
the purpose and use of scale criteria and calculate the risk priority number (RPN).
(Analyze)

E. Team dynamics and
performance


1. Team stages and
dynamics
Define and describe the stages of team evolution, including forming,
storming, norming, performing, adjourning, and recognition. Identify and help resolve negative
dynamics such as overbearing, dominant, or reluctant participants, the unquestioned acceptance
of opinions as facts, groupthink, feuding, floundering, the rush to accomplishment,
attribution, discounts, plops, digressions, tangents, etc. (Understand)

2.
Six sigma and other team roles and responsibilities
Describe and define the roles and responsibilities of participants on six
sigma and other teams, including black belt, master black belt, green belt, champion,
executive, coach, facilitator, team member, sponsor, process owner, etc. (Apply)

3. Team tools
Define and apply team tools such as brainstorming, nominal group
technique, multivoting, etc. (Apply)

4.
Communication
Use effective and appropriate communication techniques for different
situations to overcome barriers to project success. (Apply)

III. Six Sigma –
Measure(30
Questions)


A. Process analysis and
documentation


1.
Process modeling
Develop and review process maps, written procedures, work instructions,
flowcharts, etc. (Analyze)

2.
Process inputs and outputs
Identify process input variables and
process output variables (SIPOC), and document their relationships through cause and
effect diagrams, relational matrices, etc. (Analyze)

B. Probability and
statistics


1.
Drawing valid statistical conclusions
Distinguish between enumerative (descriptive) and analytical (inferential) studies, and
distinguish between a population parameter and a sample statistic. (Apply)

2. Central limit theorem and sampling distribution of
the mean
Define the central limit theorem and describe its significance in the
application of inferential statistics for confidence intervals, control charts, etc.
(Apply)

3. Basic probability
concepts
Describe and apply concepts such as independence, mutually exclusive,
multiplication rules, etc. (Apply)

C. Collecting and summarizing
data


1. Types of data and measurement
scales
Identify and classify continuous (variables) and discrete (attributes)
data. Describe and define nominal, ordinal, interval, and ratio measurement
scales.(Analyze)

2. Data collection
methods
Define
and apply methods for collecting data such as check sheets, coded data, etc.
(Apply)

3.
Techniques for assuring data accuracy and integrity
Define and apply techniques such as random sampling, stratified sampling,
sample homogeneity, etc. (Apply)

4.
Descriptive statistics
Define, compute, and interpret measures of dispersion and central
tendency, and construct and interpret frequency distributions and cumulative frequency
distributions.(Analyze)

5. Graphical methods
Depict relationships by constructing, applying and interpreting diagrams
and charts such as stemandleaf plots, boxandwhisker plots, run charts, scatter diagrams,
Pareto charts, etc. Depict distributions by constructing, applying and interpreting diagrams
such as histograms, normal probability plots, etc. (Create)

D.
Probability distributions
Describe and interpret normal, binomial, and Poisson, chi square, Student’s t, and F distributions.
(Apply)

E. Measurement system analysis
Calculate, analyze, and interpret measurement system capability using
repeatability and reproducibility (GR&R), measurement correlation, bias, linearity, percent
agreement, and precision/tolerance (P/T). (Evaluate)

F. Process capability and
performance


1.
Process capability studies
Identify, describe, and apply the elements of designing and conducting process capability
studies, including identifying characteristics, identifying specifications and tolerances,
developing sampling plans, and verifying stability and normality. (Evaluate)

2. Process performance vs.
specification
Distinguish between natural process limits and specification limits, and
calculate process performance metrics such as percent defective. (Evaluate)

3.
Process capability indices
Define, select, and calculate C_{p} and C_{pk}, and assess process
capability. (Evaluate)

4. Process performance
indices
Define, select, and calculate P_{p}, P_{pk},
C_{pm}, and assess process performance. (Evaluate)

5. Shortterm vs. longterm
capability
Describe the assumptions and conventions that are appropriate when only
shortterm data are collected and when only attributes data are available. Describe the changes
in relationships that occur when longterm data are used, and interpret the relationship
between long and shortterm capability as it relates to a 1.5 sigma shift. (Evaluate)

6.
Process capability for attributes data
Compute the sigma level for a process and describe its relationship to
P_{pk}. (Apply)

IV. Six Sigma –
Analyze(15
Questions)


A. Exploratory data
analysis


1.
Multivari studies
Create and interpret multivari studies to interpret the difference
between positional, cyclical, and temporal variation; apply sampling plans to investigate the
largest sources of variation. (Create)

2. Simple linear correlation and
regression
Interpret the correlation coefficient and determine its statistical
significance (pvalue); recognize the difference between correlation and causation. Interpret
the linear regression equation and determine its statistical significance (pvalue). Use
regression models for estimation and prediction. (Evaluate)

B. Hypothesis
testing


1. Basics
Define and distinguish between statistical and practical significance and
apply tests for significance level, power, type I and type II errors. Determine appropriate
sample size for various test. (Apply)

2. Tests for means, variances, and
proportions
Define, compare, and contrast statistical and practical
significance. (Apply)

3. Pairedcomparison
tests
Define and describe pairedcomparison parametric hypothesis tests.
(Understand)

4. Singlefactor analysis of variance
(ANOVA)
Define terms related to oneway ANOVAs and interpret their results and
data plots. (Apply)

5. Chi square
Define and interpret chi square and use it to determine statistical
significance. (Analyze)

V. Six Sigma – Improve &
Control (15 Questions)


A.
Design of experiments (DOE)


1. Basic terms
Define and describe basic DOE terms such as independent and dependent
variables, factors and levels, response, treatment, error, repetition, and replication.
(Understand)

2.
Main effects
Interpret main effects and interaction plots. (Apply)

B.
Statistical process control (SPC)


1. Objectives and
benefits
Describe the objectives and benefits of SPC, including controlling
process performance, identifying special and common causes, etc. (Analyze)

2.
Rational subgrouping
Define and describe how rational subgrouping is used. (Understand)

3. Selection and application of control
charts
Identify, select, construct, and apply the following types of control charts:
Xbar and R, Xbar and s, individuals and moving range (ImR / XmR), median (Xtilde), p,
np, c, and u. (Apply)

4. Analysis of control
charts
Interpret control charts and distinguish between common and special
causes using rules for determining statistical control. (Analyze)

C.
Implement and validate solutions
Use various improvement methods such as brainstorming, main effects analysis,
multivari studies, FMEA, measurement system capability reanalysis, and postimprovement capability
analysis to identify, implement, and validate solutions through Ftest, ttest, etc .
(Create)

D. Control
plan
Assist in developing a control plan to document and hold the gains, and assist in
implementing controls and monitoring systems. (Apply)
Six Levels of Cognition based on Bloom’s Taxonomy (Revised)
In addition to
content specifics, the subtext
detail also indicates the intended complexity
level of the test questions for that topic. These levels are based on the Revised “Levels of
Cognition” (from Bloom’s Taxonomy, 2001) and are presented below in rank order, from least complex to most
complex.
Remember Be able to remember or
recognize terminology, definitions, facts, ideas, materials, patterns, sequences, methodologies, principles,
etc. (Also commonly referred to as recognition, recall, or rote knowledge)
Understand Be able to read and
understand descriptions, communications, reports, tables, diagrams, directions, regulations, etc.
Apply Be able to apply ideas,
procedures, methods, formulas, principles, theories, etc., in jobrelated situations.
Analyze Be able to break down
information into its constituent parts and recognize the parts’ relationship to one another and how they are
organized; identify sublevel factors or salient data from a complex scenario.
Evaluate Be able to make judgments
regarding the value of proposed ideas, solutions, methodologies, etc., by using appropriate criteria or
standards to estimate accuracy, effectiveness, economic benefits, etc.
Create Be able to put parts or
elements together in such a way as to show a pattern or structure not clearly there before; able to identify
which data or information from a complex set is appropriate to examine further or from which supported
conclusions can be drawn.
