Black Belt Training Material


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Six Sigma Black Belt Training Materials

Self study Six Sigma Black Belt training material in pdf format.  This product is over 1200 pages of world class Black Belt training material made available to you so that you can prepare for your Black Belt certification exam.  It’s also perfect for reference material or even to use in your next training session (see license agreement for restrictions of use).

The training material covers the full DMAIC methodology and its organized and bookmarked for easy navigation and quick reference.  Package includes 35 data sets that match up with step by step examples on how to perform statistical analysis and how to interpret your results.

Your Black Belt Training Material Will Include:

Lean Six Sigma Black Belt training covering the full DMAIC methodology through 1200+ slide style .pdf pages. Includes step by step instructions for over 35 analysis examples and the data sets to match.

This product comes packed with over 2 dozen templates and other productivity tools to help you in your everyday career. Templates include FMEA, Cause & Effect Matrix, Project Charter, Control Plan and many more.

Yeah there’s more! also included are some super useful roadmaps to help you navigate Six Sigma projects like a wiz-kid!. You’ll enjoy the beauty and functionality of our DMAIC Roadmap, Hypothesis Testing Roadmap and Control Charts Roadmaps.

Available Courseware Editions


Content featuring the use Minitab for all statistical analysis exercises throughout the curriculum.


Content featuring the use of SigmaXL for all data analysis exercises throughout the curriculum


Content featuring the use of JMP for all statistical exercises throughout the curriculum.

Black Belt Training Material Samples

Click on either link below to view samples of our Six Sigma Black Belt training material. Samples are small sets of pdf Six Sigma pages from our Black Belt curriculum. They are only intended to provide you with an idea of the style, flow and quality of our content. The following sample topics are contained within all 3 levels of our training (Black Belt, Green Belt and Yellow Belt).

1.0 Define Phase >> 1.1 Overview of Six Sigma >> 1.1.3 Six Sigma Approach

2.0 Measure Phase >> 2.3 Measurement Systems Analysis >> 2.3.4 Variable MSA

Black Belt Training Material – Curriculum Outline

1.1 Six Sigma Overview
1.1.1 What is Six Sigma
1.1.2 Six Sigma History
1.1.3 Y = f(x) Approach
1.1.4 Six Sigma Methodology
1.1.5 Roles & Responsibilities
1.2 Fundamentals of Six Sigma
1.2.1 Defining a Process
1.2.2 VOC & CTQ’s
1.2.3 QFD
1.2.4 Cost of Poor Quality
1.2.5 Pareto (80:20 rule)
1.3 Lean Six Sigma Projects
1.3.1 Six Sigma Metrics
1.3.2 Business Case & Charter
1.3.3 Project Team Selection
1.3.4 Project Risk Management
1.3.5 Project Planning
1.4 Lean Fundamentals
1.4.1 Lean & Six Sigma
1.4.2 History of Lean
1.4.3 The Seven Deadly Muda
1.4.4 Five-S (5S)

2.1 Process Definition
2.1.1 Cause & Effect Diagrams
2.1.2 Cause & Effects Matrix
2.1.3 Process Mapping
2.1.4 FMEA
2.1.5 Theory of Constraints
2.2 Six Sigma Statistics
2.2.1 Basic Statistics
2.2.2 Descriptive Statistics
2.2.3 Distributions & Normality
2.2.4 Graphical Analysis
2.3 MSA
2.3.1 Precision & Accuracy
2.3.2 Bias, Linearity & Stability
2.3.3 Gage R&R
2.3.4 Variable & Attribute MSA
2.4 Process Capability
2.4.1 Capability Analysis
2.4.2 Concept of Stability
2.4.3 Attribute Capability
2.4.3 Discrete Capability
2.4.4 Monitoring Techniques

3.1 Patterns of Variation
3.1.1 Multi-Vari Analysis
3.1.2 Classes of Distributions
3.2 Inferential Statistics
3.2.1 Understanding Inference
3.2.2 Sampling
3.2.3 Sample Size
3.2.4 Central Limit Theorem
3.3 Hypothesis Testing
3.3.1 Hypothesis Testing Goals
3.3.2 Statistical Significance
3.3.3 Risk; Alpha & Beta
3.3.4 Types of Hypothesis Test
3.4 Hyp Tests: Normal Data
3.4.1 One and Two Sample t-tests
3.4.2 One Sample Variance
3.4.3 One Way ANOVA
3.5 Hyp Tests: Non-Normal
3.5.1 Mann-Whitney & Mood’s Median
3.5.2 Kruskal-Wallis
3.5.3 Moods Median
3.5.4 Friedman
3.5.5 1 Sample Sign
3.5.6 1 Sample Wilcoxon
3.5.7 1 and 2 Proportion
3.5.8 Chi-Squared
3.5.9 Test of Equal Variances

4.1 Simple Linear Regression
4.1.1 Correlation
4.1.2 X-Y Diagram
4.1.3 Regression Equations
4.1.4 Residuals Analysis
4.2 Multiple Regression
4.2.1 Non-Linear Regression
4.2.2 Multiple Linear Regression
4.2.3 Confidence Intervals
4.2.4 Residuals Analysis
4.2.5 Box Cox Transformation
4.2.6 Stepwise Regression
4.2.7 Logistic Regression
4.3 Designed Experiments
4.3.1 Experiment Objectives
4.3.2 Experimental Methods
4.3.3 DOE Considerations
4.4 Full Factorial Experiments
4.4.1 2k Full Factorial Designs
4.4.2 Linear & Quadratic Models
4.4.3 Orthogonal Designs
4.4.4 Model & Center Points
4.5 Fractional Factorials
4.5.1 Designs
4.5.2 Confounding Effects
4.5.3 Experimental Resolution

5.1 Lean Controls
5.1.1 Control Methods for 5S
5.1.2 Kanban
5.1.3 Poka-Yoke
5.2 SPC
5.2.1 Data Collection for SPC
5.2.2 I-MR Chart
5.2.3 Xbar-R Chart
5.2.4 U Chart
5.2.5 P Chart
5.2.6 NP Chart
5.2.7 X-S chart
5.2.8 CumSum Chart
5.2.9 EWMA Chart
5.2.10 Control Methods
5.2.11 Control Chart Anatomy
5.2.12 Variation & Sampling
5.2.13 Control Limits
5.3 Six Sigma Control Plans
5.3.1 Cost Benefit Analysis
5.3.2 Control Plan Elements
5.3.3 Response Plan

Additional information

Courseware Version



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