Lean Six Sigma Certification Exam Preparation Guide based on IASSC Black Belt Body of Knowledge

If you are planning to take a Lean Six Sigma Black Belt exam and researched internet and realized that Six Sigma certification training courses are too pricey and study materials are not within your budget either, then HERE is a Solution. I would like to share this free lean six sigma training guide which will help you prepare for the International Association for Six Sigma  (IASSC) Lean Six Sigma Certification Exam. The six sigma training guide below includes links covering IASSC version of Lean Six Sigma Body of Knowledge. Good Luck!
This guide will help IASSC Lean Six Sigma Black Belt candidates prepare for a certification exam for FREE. Although this guide is based on the IASSC Lean Six Sigma Black Belt BOK, it will still be useful for candidates seeking lower belt (green belt, yellow belt) certifications.
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About International Association for Six Sigma Certification (IASSC)

The International Association for Six Sigma Certification (IASSC) is a Professional Association dedicated to growing and enhancing the standards within the Lean Six Sigma Community. IASSC is the only independent third-party certification body within the Lean Six Sigma Industry that does not provide training, mentoring and coaching or consulting services. IASSC exclusively facilitates and delivers centralized universal Lean Six Sigma Certification Standards testing and organizational Accreditation’s.
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IASSC Lean Six Sigma Training Guide

1.0 Define Phase

1.1 The Basics of Six Sigma
1.1.1 Meanings of Six Sigma1.1.2 General History of Six Sigma & Continuous Improvement1.1.3 Deliverables of a Lean Six Sigma Project1.1.4 The Problem Solving Strategy Y = f(x)1.1.5 Voice of the Customer, Business and Employee1.1.6 Six Sigma Roles & Responsibilities
1.2 The Fundamentals of Six Sigma
1.2.1 Defining a Process
1.2.2 Critical to Quality Characteristics (CTQ’s)1.2.3 Cost of Poor Quality (COPQ)1.2.4 Pareto Analysis (80:20 rule)1.2.5 Basic Six Sigma Metrics
a. including DPU, DPMO, FTY, RTY Cycle Time, deriving these metrics and these metricsRead more:
1.3 Selecting Lean Six Sigma Projects
1.3.1 Building a Business Case & Project Charter1.3.2 Developing Project Metrics1.3.3 Financial Evaluation & Benefits Capture
1.4 The Lean Enterprise
1.4.1 Understanding Lean1.4.2 The History of Lean1.4.3 Lean & Six Sigma
http://en.wikipedia.org/wiki/Lean_Six_Sigma
1.4.4 The Seven Elements of Waste
a. Overproduction, Correction, Inventory, Motion, Overprocessing, Conveyance, Waiting.1.4.5 5S
a. Straighten, Shine, Standardize, Self-Discipline, Sort

2.0 Measure Phase
2.1 Process Definition 
2.1.1 Cause & Effect / Fishbone Diagrams 2.1.2 Process Mapping, SIPOC, Value Stream Map2.1.3 X-Y Diagram2.1.4 Failure Modes & Effects Analysis (FMEA) 
2.2 Six Sigma Statistics
2.2.1 Basic Statistics2.2.2 Descriptive Statistics2.2.3 Normal Distributions & Normality2.2.4 Graphical Analysis
2.3 Measurement System Analysis
2.3.1 Precision & Accuracy2.3.2 Bias, Linearity & Stability2.3.3 Gage Repeatability & Reproducibility2.3.4 Variable & Attribute MSA
2.4 Process Capability
2.4.1 Capability Analysis2.4.2 Concept of Stability2.4.3 Attribute & Discrete Capability2.4.4 Monitoring Techniques
  • See Statistical Process Control
3.0 Analyze Phase
3.1 Patterns of Variation3.1.1 Multi-Vari Analysis3.1.2 Classes of DistributionsDiscrete distributions:Continuous distributions:
3.2 Inferential Statistics
3.2.1 Understanding Inference3.2.2 Sampling Techniques & Uses3.2.3 Central Limit Theorem
3.3 Hypothesis Testing
3.3.1 General Concepts & Goals of Hypothesis Testing3.3.2 Significance; Practical vs. Statistical3.3.3 Risk; Alpha & Beta3.3.4 Types of Hypothesis Test​
3.4 Hypothesis Testing with Normal Data3.4.1 1 & 2 sample t-tests3.4.2 1 sample variance3.4.3 One Way ANOVAa. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.
3.5 Hypothesis Testing with Non-Normal Data3.5.1 Mann-Whitney3.5.2 Kruskal-Wallis3.5.3 Mood’s Median3.5.4 Friedman3.5.5 1 Sample Sign3.5.6 1 Sample Wilcoxon3.5.7 One and Two Sample Proportion3.5.8 Chi-Squared (Contingency Tables)
http://math.hws.edu/javamath/ryan/ChiSquare.html
a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation,performing tests and interpreting results.
  • http://en.wikipedia.org/wiki/Levene's_test (Levene's test of equal variances)
4.0 Improve Phase
4.1 Simple Linear Regression4.1.1 Correlation4.1.2 Regression Equations4.1.3 Residuals Analysis
4.2 Multiple Regression Analysis
4.2.1 Non- Linear Regression4.2.2 Multiple Linear Regression4.2.3 Confidence & Prediction Intervals4.2.4 Residuals Analysis
  • See 4.1.3
4.2.5 Data Transformation, Box Cox
4.3 Designed Experiments4.3.1 Experiment Objectives
  • http://asq.org/quality-progress/2004/03/3.4-per-million/doe-and-six-sigma.html
4.3.2 Experimental Methods4.3.3 Experiment Design Considerations
4.4 Full Factorial Experiments
4.4.1 2k Full Factorial Designs4.4.2 Linear & Quadratic Mathematical Models4.4.3 Balanced & Orthogonal Designs4.4.4 Fit, Diagnose Model and Center Points
4.5 Fractional Factorial Experiments4.5.1 Designs4.5.2 Confounding Effects
  • See 4.4
4.5.3 Experimental Resolution
  • See 4.4
5.0 Control Phase
5.1 Lean Controls
5.1.1 Control Methods for 5S5.1.2 Kanban5.1.3 Poka-Yoke (Mistake Proofing)
5.2 Statistical Process Control (SPC)5.2.1 Data Collection for SPC
5.2.2 I-MR Chart5.2.3 Xbar-R Chart
5.2.4 U Chart
5.2.5 P Chart
5.2.6 NP Chart
5.2.7 X-S chart
5.2.8 CumSum Chart5.2.9 EWMA Chart5.2.10 Control Methods
5.2.11 Control Chart Anatomy5.2.12 Subgroups, Impact of Variation, Frequency of Sampling5.2.13 Center Line & Control Limit Calculations
5.3 Six Sigma Control Plans
5.3.1 Cost Benefit Analysis5.3.2 Elements of the Control Plan5.3.3 Elements of the Response Plan

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