Topic 1

Brief review of Yellow Belt content (Define Phase)

Topic 2

Brief review of Yellow Belt content (Measure Phase)

Topic 3

“X” Sifting (Analyse Phase Module 1)

LSS Green Belt Analyse Phase – The Analyse Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for isolating critical factors.

• Perform a Multi-Vari Analysis
• Interpret and a Multi-Vari Graph
• Identify when a Multi-Vari Analysis is applicable
• Interpret what Skewed data looks like
• Explain how data distributions become Non-normal when they are really Normal

Topic 4

Inferential Statistics (Analyse Phase Module 2)

• Explain the meaning of the term “Inferential Statistics”.
• Describe the basic tenets of the Central Limit Theorem.
• Describe the impact of sample size on your estimates of population parameters.
• Explain Standard Error

Topic 5

Intro to Hypothesis Testing (Analyse Phase Module 3)

• Articulate the purpose of Hypothesis Testing
• Explain the concepts of the Central Tendency
• Be familiar with the types of Hypothesis Tests

Topic 6

Hypothesis Testing Normal Data Part 1 (Analyse Phase Module 4)

• Determine appropriate sample sizes for testing Means
• Conduct various Hypothesis Tests for Means
• Properly Analyse Results

Topic 7

Hypothesis Testing Normal Data Part 2 (Analyse Phase Module 5)

• Be able to conduct Hypothesis Testing of Variances
• Understand how to Analyse Hypothesis Testing Results

Topic 8

Hypothesis Testing Non-Normal Data Part 1 (Analyse Phase Module 6)

• Conduct Hypothesis Testing for equal variance
• Conduct Hypothesis Testing for Medians
• Analyse and interpret the results

Topic 9

Hypothesis Testing Non-Normal Data Part 2 (Analyse Phase Module 7)

• Calculate and explain test for proportions
• Calculate and explain contingency tests

Topic 10

Wrap Up & Action Items (Analyse Phase)

Topic 11

Process Modeling Regression (Improve Phase Module 1)

LSS Green Belt Improve Phase – The Improve Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for properly controlling solutions.

• Perform the steps in a Correlation and a Regression Analysis
• Explain when Correlation and Regression is appropriate

Topic 12

Advanced Process Modeling (Improve Phase Module 2)

• Perform Non-Linear Regression Analysis
• Perform Multiple Linear Regression Analysis (MLR)
• Examine Residuals Analysis and understand its effects

Topic 13

Designing Experiments (Improve Phase Module 3)

• Determine the reason for experimenting
• Describe the difference between a physical model and a DOE model
• Explain an OFAT experiment and its primary weakness
• Shown Main Effects Plots and interactions, determine which effects and interactions may be significant
• Create a Full Factorial Design

Topic 14

Wrap Up & Action Items (Improve Phase)

Topic 15

Brief review of Yellow Belt content