- By design, this course builds upon what I've covered in Six Sigma Fundamentals, Six Sigma Green Belt, and Introduction to Minitab. These prerequisite courses should be completed as an integral part of the Black Belt training. To help you see how the materials build upon each other, I have developed a learning roadmap showing how the courses intertwine and support each other at the topic level. Follow the learning roadmap to guide you to the corresponding videos in the Six Sigma Fundamentals, Six Sigma Green Belt, and Introduction to Minitab courses that you should watch first.
Six Sigma is data-driven. During Black Belt training and project work, statistical software is used for plotting and analyzing data. This course is designed with that type of support in mind, regardless of whatever software you use. My personal preference is Minitab, and that's what you'll see in this course. Last, this is not a course in statistics or mathematical formulas, so I will not cover the in-depth calculations involved.
This course focuses on the why, what, when, and more importantly, how to use statistics and other advanced quality tools to carry out your Black Belt projects. With these prerequisites out of the way, let's dive in.
Author
Released
5/25/2017Dr. Richard Chua builds upon his Six Sigma: Green Belt, Six Sigma Foundations, and Learning Minitab courses—which are prerequisites to this course—and covers an array of topics, including measurement system analysis, hypothesis testing, response surface methods, displaying improved process capabilities, and more.
- Process flow metrics
- Measurement system analysis
- Calculating process capability
- Hypothesis testing
- Confidence intervals
- Testing for normality
- Designing, conducting, and analyzing full-factorial experiments
- Using fractional factorial experiments for screening
- Displaying improved process capability
Skill Level Intermediate
Duration
Views
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Lean Six Sigma: Define and Measure Tools
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Introduction
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Welcome1m 38s
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Certification information1m 31s
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Exercise files34s
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1. Define Phase
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Overview of the Define phase3m 51s
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2. Measure Phase
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Process flow metrics3m 34s
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Sample sizes3m 7s
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3. Analyze Phase
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Hypothesis testing road map3m 33s
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Confidence intervals3m 14s
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Test for normality2m 49s
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Compare variances5m 16s
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T-tests6m 4s
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ANOVA3m 55s
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Contingency tables6m 49s
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Nonparametric tests6m 49s
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Correlation3m 45s
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Linear regression4m 38s
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Multiple regression5m 5s
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4. Improve Phase
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Full-factorial experiments9m 19s
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DOE with curvature6m 27s
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Response surface methods8m 37s
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5. Control Phase
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SPC chart selection4m 46s
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SPC chart analysis5m 1s
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Conclusion
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Next steps56s
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Video: What you should know/road map