Six Sigma Black Belt Training Material with SigmaXL License


Six Sigma Black Belt Training Material with SigmaXL License

This product includes a perpetual license of SigmaXL v.7.0

New Versions! Now our Black Belt training slides reflect the latest statistical software references using Minitab 17, SigmaXL 7 or JMP 11 depending on your courseware selection.

This is a complete package of Lean Six Sigma Black Belt Training Material covering the full spectrum of the Six Sigma D.M.A.I.C. methodology. This curriculum has been reviewed and approved by the Council for Six Sigma Certifications to meet the standards met by all other reputable six sigma training providers. Our content aligns with both the IASSC and ASQ bodies of knowledge making it perfect for test or exam preparation.

Our Six Sigma Black Belt Training Material product also includes data files that match every data analysis example shown throughout the curriculum. A total of 35 data files enabling you to follow every step by step example contained within the curriculum.

Additionally, this package also includes our Tools & Templates file containing various six sigma templates. You’ll find these tools useful for projects and other uses. Templates provided are contained in the zip file.

The Six Sigma Black Belt Training Material is also available in 3 different software versions. From the options above, choose one of three versions each using a different statistical software package to generate the examples displayed throughout the material. By default we’ll provide the Minitab curriculum by if you want the SigmaXL or JMP versions, all you have to do is make the selection from the courseware versions before adding to cart.

This training material is perfect for exam preparation or coaching others to pass their exam. If you want to become a Six Sigma Black Belt then this training package is everything you need to begin your career advancing journey.

This is a Downloadable Product

Six Sigma Black Belt Training Material Features

  • Aligned to IASSC and ASQ BOKs
  • Content packaged in a zip file with curriculum in pdf format accompanied by Microsoft xls templates
  • Curriculum Page Count: 1313
  • Tools & Templates: 15 templates, tables and other tools in xls format
  • Accredited Lean Six Sigma Black Belt Courseware


Our Six Sigma Black Belt Training Material curriculum and body of knowledge is aligned to ASQ, IASSC and more importantly, accredited by the Council for Six Sigma Certification.

The Council for Six Sigma Certification is a professional association devoted to ensuring that curriculum providers and training programs maintain minimum standards for both Six Sigma certification and Lean Six Sigma certification. The Council provides accreditation services to more than 165 countries around the world and have accredited numerous universities, 3rd party training firms, consultants and individual trainers.

Six Sigma Black Belt Curriculum

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

Minitab, SigmaXL, JMP


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