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Exam Information
Official specifications published by Six Sigma
Exam Format
180 min (3 hr)
100
70%
Green Belt
Registration
$350 USD
Pearson VUE, PeopleCert Online Proctoring, or online proctoring
English, Spanish, Portuguese, Chinese +1 more
Validity
perpetual
Certification is recognized perpetually; Current status maintained for 3 years; Recertification available through IASSC Recertification Policy
ICGB Exam Topics and Domains
ICGB is organized into 5 weighted domains. Expect to work with Minitab ANOVA, Minitab attribute agreement analysis, Minitab Box-Cox, Minitab C charts, and more.
1
Define Phase
20%
The Basics of Six Sigma
Meanings of Six SigmaGeneral History of Six Sigma & Continuous ImprovementDeliverables of a Lean Six Sigma ProjectThe Problem Solving Strategy Y = f(x)Voice of the Customer, Business and EmployeeSix Sigma Roles & Responsibilities
- Understand the fundamental concepts and history of Six Sigma
- Identify and define roles within Six Sigma organizations
- Apply the Y=f(x) problem-solving approach
The Fundamentals of Six Sigma
Defining a ProcessCritical to Quality Characteristics (CTQ's)Cost of Poor Quality (COPQ)Pareto Analysis (80:20 rule)Basic Six Sigma Metrics
- Define and map business processes
- Calculate and interpret Six Sigma metrics
- Apply Pareto principle for prioritization
Selecting Lean Six Sigma Projects
Building a Business Case & Project CharterDeveloping Project MetricsFinancial Evaluation & Benefits Capture
- Select appropriate Six Sigma projects
- Develop comprehensive project charters
- Calculate project financial benefits
The Lean Enterprise
Understanding LeanThe History of LeanLean & Six SigmaThe Seven Elements of Waste5S
- Understand Lean principles and history
- Identify and eliminate seven wastes
- Implement 5S methodology
2
Measure Phase
20%
Process Definition
Cause & Effect / Fishbone DiagramsProcess Mapping, SIPOC, Value Stream MapX-Y DiagramFailure Modes & Effects Analysis (FMEA)
- Map and analyze processes comprehensively
- Identify potential failure modes
- Establish cause-effect relationships
Six Sigma Statistics
Basic StatisticsDescriptive StatisticsNormal Distributions & NormalityGraphical Analysis
- Calculate and interpret descriptive statistics
- Assess data normality
- Create and analyze statistical graphs
Measurement System Analysis
Precision & AccuracyBias, Linearity & StabilityGage Repeatability & ReproducibilityVariable & Attribute MSA
- Assess measurement system capability
- Conduct GR&R studies
- Interpret MSA results
Process Capability
Capability AnalysisConcept of StabilityAttribute & Discrete CapabilityMonitoring Techniques
- Calculate process capability indices
- Assess process stability
- Convert between different capability metrics
3
Analyze Phase
20%
Patterns of Variation
Multi-Vari AnalysisClasses of Distributions
- Identify patterns in process variation
- Recognize different statistical distributions
Inferential Statistics
Understanding InferenceSampling Techniques & UsesCentral Limit Theorem
- Apply inferential statistics concepts
- Determine appropriate sample sizes
- Understand Central Limit Theorem
Hypothesis Testing
General Concepts & Goals of Hypothesis TestingSignificance; Practical vs. StatisticalRisk; Alpha & BetaTypes of Hypothesis Test
- Formulate and test hypotheses
- Interpret hypothesis test results
- Understand statistical risks
Hypothesis Testing with Normal Data
1 & 2 sample t-testsOne-Way ANOVATest for Equal Variances
- Conduct hypothesis tests with normal data
- Select appropriate test methods
- Interpret test results correctly
Hypothesis Testing with Non-Normal Data
Mann-WhitneyKruskal-WallisMood's MedianFriedman1 Sample Sign1 Sample WilcoxonOne and Two Sample ProportionChi-Squared (Contingency Tables)
- Apply non-parametric tests appropriately
- Select between parametric and non-parametric methods
- Interpret non-parametric test results
4
Improve Phase
20%
Simple Linear Regression
CorrelationRegression EquationsResidual Analysis
- Perform correlation analysis
- Build and interpret regression models
- Validate regression assumptions
Multiple Regression Analysis
Non-Linear RegressionMultiple Linear RegressionConfidence & Prediction IntervalsResiduals AnalysisData Transformation, Box Cox
- Build multiple regression models
- Handle non-linear relationships
- Apply data transformations
5
Control Phase
20%
Lean Controls
Control Methods for 5SKanbanPoka-Yoke (Mistake Proofing)
- Implement lean control methods
- Design visual management systems
- Apply mistake proofing techniques
Statistical Process Control (SPC)
Data Collection for SPCI-MR ChartXbar-R ChartU ChartP ChartNP ChartXbar-S ChartC ChartEWMA Chart
- Select appropriate control charts
- Calculate control limits
- Interpret control chart patterns
Six Sigma Control Plans
Cost Benefit AnalysisElements of the Control PlanElements of the Response Plan
- Develop comprehensive control plans
- Create response procedures
- Evaluate control effectiveness
How do I earn this certification?
Passing ICGB earns the Certified Lean Six Sigma Green Belt certification. It sits in the Six Sigma Quality track.
Current Level Exams
- ASQ-CSSGB - ASQ Certified Six Sigma Green Belt
- CSSC-CSSGB - Council for Six Sigma Green Belt
Next Level Options
- ICBB - IASSC Certified Lean Six Sigma Black Belt
- ASQ-CSSBB - ASQ Certified Six Sigma Black Belt
- ASQ-CMQ/OE - ASQ Certified Manager of Quality
Alternative Paths
- PMP - Project Management ProfessionalComplementary project management skills
- ASQ-CQE - ASQ Certified Quality EngineerTechnical quality engineering focus
- CPHQ - Certified Professional in Healthcare QualityHealthcare-specific quality management
- CPIM - Certified in Production and Inventory ManagementOperations and supply chain focus
Practice with Precision
The PlanetCert Simulator mirrors the real exam environment with authentic questions and timed pressure.
How to study for this exam?
Use the official PlanetCert Practice Test alongside the study plan below to prepare efficiently for ICGB.
What's changed on this exam?
Current Status
- ACTIVE
- Last content update: 2024-01-01
Updates
- Minitab Statistical Software 22 New features may appear in future exam updates • Release date: 2024-06-01
- Python for Six Sigma Various libraries Alternative to traditional tools, not yet in exam • Release date: Ongoing
- R Statistical Computing 4.3+ Alternative statistical tool, growing adoption • Release date: 2024-04-01
Who should take this exam?
This exam is typically taken by Quality professionals and Process improvement practitioners.
- Basic understanding of statistics
- Experience with process improvement
- Familiarity with quality management concepts
- Previous exposure to Lean or Six Sigma concepts