Intermediate Six Sigma Green Belt

To be successful, organizations must manage by fact. As such, organizations depend on the measurement and analysis of performance to make key decisions that affect the organization. This Intermediate Six Sigma Green Belt course builds on the ideas and skills learned in the Introduction to Six Sigma Green Belt course that organizations use, specifically their Six Sigma teams, to improve. In this second course in the certification program, 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.
 

Agenda

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