- Slides are in Adobe Acrobat format (.pdf).
- These slides contain material that is likely to appear on a certification exam and most commonly used as a Six Sigma project manager.
- These Six Sigma Training slides shall not be shared or copied without permission from sixsigmamaterial.com.
- This is available as a package and can not be purchased separately.

Six Sigma Explained

DMAIC Roadmaps

The Quality Gurus

Project Pitfalls

Strategies to Accelerate Your Project

Effective Meetings

The Cost of Quality including the COPQ

Stakeholder Analysis

SIPOC

Pareto Diagram

Data Classification (Continuous vs. Discrete)

Data Classification Levels (Nominal, Ordinal, Interval, Ratio)

Sampling Methods

Fishbone Diagram

FMEA

Process Mapping

7 Wastes

DPU, DPO, DPMO

Yield Metrics (TPY, FY, RTY, NY)

Z-scores

Measurement System Analysis (MSA)

MTBF

MTTR

SPC

Basic Statistics

Central Limit Theorem

Hypothesis Testing

Basic Non-Normality Hypothesis Testing

OEE

Correlation

Regression

Chi-square

One Way ANOVA

T-tests

Confidence Intervals

Multi-vari Studies

SMED (Quick Changeover)

5S

Kaizen

Basic DOE

Cellular Flow

Spaghetti Diagram

5 Why

Takt Time

Line Balancing

Mistake Proofing (Poka-Yoke)

Control Plan

Value Stream Map Symbols

Financial Savings

Financial Metrics (ROI, ROA, NPV, IRR, etc.)

180+ questions covering the DMAIC process that are likely to appear on a Green Belt and Black Belt exam. Many of the questions include explanations and links to further research the topic.

Custom Search

**Six Sigma**

**Templates, Tables & Calculators**

**Six Sigma** Slides

*Green Belt Program (1,000+ Slides)*

*Basic Statistics*

*Cost of Quality*

*SPC*

*Process Mapping*

*Capability Studies*

*MSA*

*SIPOC*

*Cause & Effect Matrix*

*FMEA*

*Multivariate Analysis*

*Central Limit Theorem*

*Confidence Intervals*

*Hypothesis Testing*

*T Tests*

*1-Way ANOVA*

*Chi-Square*

*Correlation *

*Regression*

*Control Plan*

*Kaizen*

*MTBF and MTTR*

*Project Pitfalls*

*Error Proofing*

Z Scores

*OEE*

*Takt Time*

*Line Balancing*

*Yield Metrics*

*Sampling Methods*

*Data Classification*

*Practice Exam*

*... and more*