Six Sigma MASTER BLACK BELT
A Six Sigma Master Black Belt are the subject matters experts for Lean Manufacturing and statistical analysis. Their goals are develop curriculum, mentor, provide direction to Six Sigma program, and lead projects with highest financial or risk impact within an organization.
These individuals have a passion to coach with a proven track record of project and change management. At this level, change management is at least as important as holding a firm understanding of advance statistics.
Some of the topics expected to learn are:
There are also 180+ example certification problems available for subscribers (or you can purchase the exam separately) but these problems are concentrated around certification for Black Belts and Green Belts. Many of the problems have further explanations along with additional developmental material that can be found within this site.
Some of the advanced topics a Master Black Belt will learn are:
If you are a MBB looking for Lean and DMAIC Six Sigma training slides, we have over 1000+ pages of material in .pdf format across the most commonly used tools. Each module is prepared as its own presentation so you can arrange the sequence as you feel fit.
With the modules are examples and links for further research. These slides are more than suitable for a Yellow Belt and Green Belt level and meet most of the criteria for Black Belts.
The package also comes with a 180+ practice exam questions.
You can reach us at sixsigmamaterial@gmail.com We can tailor the package (to some extent) to meet your needs and discuss multiple copy discounts.


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Six Sigma
Templates, Tables & Calculators
Six Sigma Slides
Green Belt Program (1,000+ Slides)
Basic Statistics
Cost of Quality
SPC
Process Mapping
Capability Studies
MSA
SIPOC
Cause & Effect Matrix
FMEA
Multivariate Analysis
Central Limit Theorem
Confidence Intervals
Hypothesis Testing
T Tests
1Way ANOVA
ChiSquare
Correlation
Regression
Control Plan
Kaizen
MTBF and MTTR
Project Pitfalls
Error Proofing
Z Scores
OEE
Takt Time
Line Balancing
Yield Metrics
Sampling Methods
Data Classification
Practice Exam
... and more