LSSBB Verified 2026 Edition

LSSBB Practice Test

Lean Six Sigma Black Belt (LSSBB) certifies experienced process-improvement leaders who run Six Sigma projects and mentor Green and Yellow Belts. Most paths expect a Green Belt credential first, plus comfort with statistical software. This practice test covers measurement systems analysis, hypothesis testing, designed experiments, and statistical process control.

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Exam Information

Official specifications published by Six Sigma

Exam Format

240 min
150
70%
Black Belt

Registration

$450 USD
Pearson VUE, Prometric, PeopleCert Online Proctoring, IASSC Accredited Providers, or online proctoring

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lifetime
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LSSBB Exam Topics and Domains

LSSBB is organized into 5 weighted domains.

1

Define Phase

15%

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
  • Define Six Sigma and its methodologies
  • Understand project deliverables and success criteria
  • Apply Y=f(x) thinking to problem solving

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

Selecting Lean Six Sigma Projects

Building a Business Case & Project CharterDeveloping Project MetricsFinancial Evaluation & Benefits Capture

The Lean Enterprise

Understanding LeanThe History of LeanLean & Six SigmaThe Seven Elements of Waste5S
2

Measure Phase

20%

Process Definition

Cause & Effect / Fishbone DiagramsProcess Mapping, SIPOC, Value Stream MapX-Y DiagramFailure Modes & Effects Analysis (FMEA)

Six Sigma Statistics

Basic StatisticsDescriptive StatisticsNormal Distributions & NormalityGraphical Analysis

Measurement System Analysis

Precision & AccuracyBias, Linearity & StabilityGage Repeatability & ReproducibilityVariable & Attribute MSA

Process Capability

Capability AnalysisConcept of StabilityAttribute & Discrete CapabilityMonitoring Techniques
3

Analyze Phase

20%

Patterns of Variation

Multi-Vari AnalysisClasses of Distributions

Inferential Statistics

Understanding InferenceSampling Techniques & UsesCentral Limit Theorem

Hypothesis Testing

General Concepts & Goals of Hypothesis TestingSignificance; Practical vs. StatisticalRisk; Alpha & BetaTypes of Hypothesis Test

Hypothesis Testing with Normal Data

1 & 2 sample t-testsOne-Way ANOVATest for Equal Variances

Hypothesis Testing with Non-Normal Data

Mann-WhitneyKruskal-WallisMood's MedianFriedman1 Sample Sign1 Sample WilcoxonOne and Two Sample ProportionChi-Squared (Contingency Tables)
4

Improve Phase

25%

Simple Linear Regression

CorrelationRegression EquationsResiduals Analysis

Multiple Regression Analysis

Non-Linear RegressionMultiple Linear RegressionConfidence & Prediction IntervalsResiduals AnalysisData Transformation, Box Cox

Designed Experiments

Experiment ObjectivesExperimental MethodsExperiment Design Considerations

Full Factorial Experiments

2k Full Factorial DesignsLinear & Quadratic Mathematical ModelsBalanced & Orthogonal DesignsFit, Diagnose Model and Center Points

Fractional Factorial Experiments

2k-p Fractional Factorial DesignsConfounding/AliasingExperimental Resolution
5

Control Phase

20%

Lean Controls

Control Methods for 5SKanbanPoka-Yoke (Mistake Proofing)

Statistical Process Control (SPC)

Data Collection for SPCI-MR ChartXbar-R ChartU ChartP ChartNP ChartXbar-S ChartCumSum ChartEWMA ChartControl Chart AnatomySubgroups, Impact of Variation, Frequency of SamplingCenter Line & Control Limit Calculations

Six Sigma Control Plans

Cost Benefit AnalysisElements of the Control PlanElements of the Response Plan

How do I earn this certification?

Passing LSSBB earns the IASSC Certified Lean Six Sigma Black Belt (ICBB) certification. It sits in the Six Sigma Quality track.

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What's changed on this exam?

Current Status
  • ACTIVE
  • Last content update: 2022-09-01
Updates
  • Statistical Software Minitab 21 New features for predictive analytics and automated analysis • Release date: 2024-03-01
  • Python for Six Sigma SciPy 1.11+ Growing acceptance of Python as alternative to traditional tools • Release date: 2024-01-01
  • Cloud-based SPC Various Real-time data collection and analysis in cloud environments • Release date: 2024-ongoing

Who should take this exam?

This exam is typically taken by Quality professionals and Process improvement specialists.

  • IASSC Certified Green Belt (ICGB) or equivalent
  • 3-5 years of process improvement experience
  • Completion of at least 2 Six Sigma projects
  • Statistical software proficiency (Minitab, JMP, R, or Python)
  • Leadership or team lead experience

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