In the second course of the Six Sigma Green Belt program, you'll build on the ideas and skills you established in the Introduction class as well as delve into new topics.
Successful organizations must manage based on facts.
Therefore, organizations depend on the measurement and analysis of performance to make key decisions that affect the organization.
In this Intermediate course, new topics will include process analysis, data collection and analysis, probability and valid statistical conclusions, and hypothesis testing.
Many participants find this course to be the most challenging -- and rewarding -- of the certification courses.
These tools are a key piece of the foundation in earning your Green Belt and improving your skill set as well as organizational and team successes.
- 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
- Measure - Probability
- Probability and Statistics
- Valid Statistical Conclusions
- Central Limit Theorem
- Basic Probability Concepts
- Probability Distributions
- Binomial Distribution
- Poisson Distribution
- Normal Distribution
- Chi-square Distribution
- Student’s t Distribution
- 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
- Learn about data collection and analysis
- Develop tools and skills in analyzing processes
- Develop an understanding of probability, valid statistical conclusions, and hypothesis testing.
- Become familiar with measurement system analysis and how organizations utilize this approach in making key decisions that affect the organization.