1.3 Open-Book Strategy, Reference Materials, and a 16-Week Study Plan

ASQ Certified Six Sigma Black Belt CSSBB

Track your progress as you read

Finished sections get a check mark.

1 Chapter 1: Introduction & CSSBB Exam Strategy

1.1 CSSBB Exam Format, Scoring, and Testing Windows 1.2 Eligibility, Project Affidavits, Application, and Recertification 1.3 Open-Book Strategy, Reference Materials, and a 16-Week Study Plan

2 Chapter 2: Organization-Wide Planning and Deployment

2.1 Fundamentals of Six Sigma and Lean Methodologies 2.2 Selecting the Right Methodology: DMAIC, DFSS, and Lean 2.3 Business Systems, Processes, and Stakeholder Relationships 2.4 Strategic Planning and Deployment of Six Sigma Initiatives 2.5 Six Sigma Roles and Responsibilities 2.6 Organizational Barriers and Common Causes of Six Sigma Failure 2.7 Change Management: Stakeholder Analysis, Readiness, and Communication

3 Chapter 3: Organizational Process Management and Measures

3.1 Impact of Six Sigma Projects on Customers, Suppliers, and Stakeholders 3.2 Benchmarking Types and Performance Goal Setting 3.3 Performance Measures: Balanced Scorecard, KPIs, KBIs, OKRs, and Line of Sight 3.4 Leading and Lagging Indicators and Performance Dashboards 3.5 Financial Measures: Revenue Growth, Margin, NPV, ROI, and Cost-Benefit Analysis 3.6 Cost of Poor Quality and Hard versus Soft Savings

4 Chapter 4: Team Management

4.1 Team Types and Constraints 4.2 Team Roles, Responsibilities, and Member Selection 4.3 Team Success Factors and Ground Rules 4.4 Motivational Techniques and Overcoming Demotivators 4.5 Stages of Team Development and Conflict Resolution 4.6 Team Communication Plans 4.7 Team Leadership Models: Direct, Coach, Support, and Delegate 4.8 Group Behaviors, Conflict Resolution, and Meeting Management 4.9 Facilitation Techniques and Team Decision-Making Methods 4.10 Team Training: Needs Assessment, Delivery, and Evaluation

5 Chapter 5: Define Phase

5.1 Customer Identification and Segmentation 5.2 Customer Data Collection: Methods, Validity, and Reliability 5.3 Customer Requirements: CTX, CTQ Trees, and Operational Definitions 5.4 The Kano Model and Quality Function Deployment 5.5 SIPOC and Process Mapping 5.6 Business Case Justification 5.7 The Project Charter and the Problem Statement 5.8 Project Scope and Boundaries 5.9 SMART Goals and Project Performance Measurements 5.10 Project Charter Reviews and Toll-Gate Governance 5.11 Project Management Tools: Gantt Charts, Toll-Gate Reviews, WBS, and RACI 5.12 Analytical Tools Used Throughout the DMAIC Cycle

6 Chapter 6: Measure Phase

6.1 Process Flow Metrics and the Hidden Factory 6.2 Process Analysis Tools and Value Stream Mapping 6.3 Types of Data and Measurement Scales 6.4 Sampling Concepts, Methods, and Sample Size for Estimation 6.5 Data Collection Plans and Common Pitfalls 6.6 Gage R&R for Variable Measurement Systems 6.7 Attribute Agreement Analysis and Audit MSA 6.8 Measurement Systems Across the Organization, and Metrology 6.9 Population Parameters, Sample Statistics, and Valid Statistical Conclusions 6.10 Descriptive Statistics: Central Tendency, Dispersion, and Shape 6.11 Graphical Methods for Exploratory Data Analysis 6.12 Probability Concepts, Common Distributions, and the Central Limit Theorem 6.13 Additional Distributions: Hypergeometric, Exponential, Lognormal, Weibull, and Bivariate 6.14 Process Capability and Performance Indices 6.15 Capability Studies, Attributes Capability, Yield Metrics, and Long-Term Capability

7 Chapter 7: Analyze Phase

7.1 The Correlation Coefficient, Its Confidence Interval, and Causation 7.2 Linear Regression and Residual Analysis 7.3 Multivariate Tools: Factor Analysis, Discriminant Analysis, and MANOVA 7.4 Hypothesis Testing Terminology, Errors, and Single-Sample Tests 7.5 Statistical Versus Practical Significance 7.6 Sample Size for Hypothesis Tests 7.7 Point Estimates, Confidence, Prediction, and Tolerance Intervals 7.8 Tests for Means, Variances, and Proportions 7.9 Analysis of Variance 7.10 Chi-Square Goodness-of-Fit and Tests of Independence 7.11 Types of Risk and Failure Mode and Effects Analysis 7.12 Gap Analysis and Root Cause Analysis 7.13 Waste Analysis: The Seven Classic Wastes and Resource Under-Utilization

8 Chapter 8: Improve Phase

8.1 Design of Experiments: Objectives, Terminology, and Effects 8.2 DOE Design Principles: Randomization, Blocking, Replication, and Resolution 8.3 Planning and Evaluating Designed Experiments 8.4 One-Factor Experiments: Completely Randomized, Randomized Block, and Latin Square Designs 8.5 Full Factorial Experiments and Design Selection 8.6 Two-Level Fractional Factorial Experiments and Confounding 8.7 Response Surface Methodology and Optimization 8.8 Waste Elimination: Pull Systems, Kanban, 5S, and Poka-Yoke 8.9 Cycle-Time Reduction: Continuous Flow, SMED, and Heijunka 8.10 Kaizen, Kaizen Blitz, Theory of Constraints, and OEE 8.11 Implementation Planning, Piloting, and Solution Selection

9 Chapter 9: Control Phase

9.1 SPC Objectives, Variable Selection, and Rational Subgrouping 9.2 Control Charts for Variables Data 9.3 Control Charts for Attributes Data 9.4 Short-Run SPC and Moving Average Charts 9.5 Control Chart Analysis: Common Cause, Special Cause, and Run Rules 9.6 Total Productive Maintenance and Visual Controls 9.7 Measurement System Reanalysis 9.8 Control Plan Development and Process Owner Handoff 9.9 Lessons Learned, Documentation, and Training for Sustainment 9.10 Ongoing Evaluation of the Improved Process

10 Chapter 10: Design for Six Sigma (DFSS)

10.1 DFSS Frameworks: DMADV, DMADOV, and Design Transfer 10.2 Design for X (DFX) 10.3 Robust Design, Parameter Design, and Verification 10.4 Tolerance Design and Statistical Tolerancing

1.3 Open-Book Strategy, Reference Materials, and a 16-Week Study Plan

Key Takeaways Explain This Topic AI

All reference materials must be permanently bound by stitching, glue, ring binder, spiral, brads, or screw posts; hand-stapled documents are refused.

Electronic copies of handbooks are prohibited, and no collection of questions and answers may be brought in, even inside an otherwise permitted book.

Any silent, hand-held, battery-operated calculator without an alphabetic keyboard is allowed; programmable memory must be cleared and a TI-89 is explicitly banned.

Prometric desks are roughly 48 inches by 24 inches, which physically limits how many bound volumes are usable.

Remotely proctored candidates may not use physical scratch paper or pens and must use the on-screen Scratchpad instead.

Last updated: August 2026

Open book is a rule set, not a safety net
ASQ states plainly that all ASQ exams are open book , and candidates must bring their own
references. The allowance is real, but it is bounded by rules that test center administrators enforce
by inspecting every item before you enter the room. Losing a reference at check-in on exam morning is

an avoidable disaster.

What is permitted
Permanently bound material. Bound means stitched or glued, or fastened securely in a cover by
fasteners that penetrate all pages: ring binders, spiral binders, plastic snap binders, brads, or

screw posts.

Handwritten notes , provided they are bound to the same standard.

Post-it notes as book tabs only , and they must be attached before you enter the test center.

A calculator meeting the rules below, plus a backup calculator if you want one.

What is prohibited

Hand-stapled documents that are not securely fastened in their covers.

Electronic copies of handbooks or references of any kind.

Blank writing tablets, tablets containing blank pages, unbound tablets, and unbound notes.

Slide charts and wheel charts -- hand-held cardboard or plastic calculating devices with

rotating or sliding pieces.

Any collection of questions and answers , or weekly refresher-course quizzes. A reference that
contains such material is not allowed unless the questions are removed or obscured. This rule

routinely disqualifies otherwise legitimate exam-prep books, so check yours weeks in advance.

Physical limits
Prometric desks are approximately 48 inches long by 24 inches wide . Three thick volumes plus
scratch paper and a calculator will fill that space. Most successful candidates carry one primary

handbook plus one thin, heavily tabbed personal formula binder rather than a library.

Calculators
All computer-based exams include a basic on-screen scientific calculator , and the test center can
supply a basic calculator on request. If you bring your own, it must be silent, hand-held, and
battery-operated, without an alphabetic keyboard , and all programmable memory must be cleared before

you enter the room. The Texas Instruments TI-89 and similar models are absolutely not allowed because they have alphabetic keyboards. ASQ states the exam is written so that a simple calculator is

sufficient for every calculation -- if a problem seems to demand a statistics package, you have

misread it.

Scratch paper
At a test center, Prometric provides a pencil and scratch paper. For remotely proctored exams ,
since 1 July 2022 candidates are prohibited from using blank scratch paper or physical writing
objects and must use the Scratchpad function inside the exam application instead. If you plan to
test remotely, practise your capability and hypothesis-test calculations in a plain on-screen text

box before exam day; laying out an ANOVA table without paper is a learned skill.

Building a reference set that earns marks
Open book helps only if retrieval is faster than recall failure. Budget roughly 60 seconds of lookup

before you move on and flag.

Index by BoK number, not by book chapter. Tab your primary handbook with the nine section

numerals and the lettered subsections, so "VI.B.6 ANOVA" maps to a physical tab.

Build a one-page formula sheet per DMAIC phase and bind it at the front. Capability indices,
MSA acceptance criteria, control chart constants, the four common test statistics, sample-size

formulas, and yield metrics belong here.

Pre-print the constants tables you cannot derive: control chart factors ( A 2 A_2 A 2 , D 3 D_3 D 3 , D 4 D_4 D 4 , d 2 d_2 d 2 , B 3 B_3 B 3 , B 4 B_4 B 4 , c 4 c_4 c 4 ), standard normal z z z , t t t , F F F , and chi-square critical values.

Do not tab what you already know. Tabs are a scarce resource; spend them on the material you

miss in practice.

A 16-week study plan weighted to the blueprint
The plan below allocates study hours in proportion to ASQ's published question counts, then reserves
the final three weeks for timed practice. Total is roughly 180 hours, consistent with the 140 to 220

hours most candidates report.

Weeks Focus BoK sections Target hours
1-2 Enterprise deployment, process measures, team management I, II, III 24
3-4 Define: VOC, charter, project management and analytical tools IV 20
5-7 Measure part 1: process analysis, data types, sampling, MSA V.A-V.C 22
8-9 Measure part 2: statistics, probability, capability V.D-V.F 22
10-11 Analyze: regression, hypothesis testing, ANOVA, risk, root cause VI 26
12-13 Improve: DOE and lean methods VII 24
14 Control: SPC, control plans, sustainment VIII 18
15 Design for Six Sigma IX 6
16 Two full timed mock exams plus targeted repair All 18
Two habits separate candidates who pass from candidates who nearly pass. First, do the arithmetic
by hand even though the exam is open book -- an examinee who has computed twenty gage R&R studies
recognises a %Study Variation trap instantly, while one who has only read about it burns four
minutes. Second, take at least one full 4-hour-18-minute mock in one sitting . Statistical accuracy
degrades sharply in hour four, and the only way to discover your personal failure mode is to

experience it before exam day.