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Course Description

This Intermediate Six Sigma Green Belt course builds on the ideas and skills learned in the Introduction to Six Sigma Green Belt course. In this course, participants will learn process analysis, data collection and analysis, probability and valid statistical conclusions, and hypothesis testing. Many participants find this course to be the most challenging of the certification courses.

Course Outline

Unit 1
Measure - Data & Process Analysis
Process Analysis and Documentation
Process Modeling
Process Inputs and Outputs
Collecting and Summarizing Data
Data Types
Data Collection Methods
Data Accuracy and Integrity
Graphical Methods

Unit 2
Measure - Probability
Probability and Statistics
Valid Statistical Conclusions
Central Limit Theorem
Basic Probability Concepts

Unit 3
Probability Distributions
Binomial Distribution
Poisson Distribution
Normal Distribution
Chi-square Distribution
Student’s t Distribution

Unit 4
Measure - Capability & Measurement
Measurement System Analysis
Process Capability and Performance
Process Capability Studies
Process Performance vs. Spec
Process Capability Indices
Short-term vs. Long-term Capability
Process Capability for Attributes

About Your Instructor

 
 
Scott Follett is an Engineer with many years of experience working with organizations. In addition to working with corporations and other organizations as a Master Blackbelt, he served as an Education Chair and Section Chairman for the American Society for Quality. He has also served as an examiner for the Malcolm Baldrige Award and as a Judge and Senior Examiner for the Arkansas Quality Award. Currently, he is working as a Lean and Six Sigma consultant for several companies as well as teaching Lean and Six Sigma courses.
 

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Enroll Now - Select a section to enroll in
Section Title
Intermediate Six Sigma Green Belt
Type
Online-Self Paced
Dates
Jul 01, 2024 to Jul 26, 2024
Contact Hours
16.0
Course Fee(s)
Tuition non-credit $195.00 Click here to get more information
CEUs
1.6 CEUs
Section Notes

For further information on this course, please contact dlanpher@harpercollege.edu.

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