IIEEL are here to help you every step of the way to pass your IASSC or ASQ Certified Lean Six Sigma Black Belt exam. Our team of experienced and certified professionals with more than 18 years of experience in the field of Lean Six sigma and Operational excellence has designed practice exam to prepare for IASSC /ASQ certification. They have carefully maintained exam structure, syllabus, time limit and scoring system same as the actual IASSC/ASQ Certified Lean Six Sigma Black Belt Body of knowledge and their exam patter. Our IASSC /ASQ question bank contains most frequently asked and real-time case study based questions prepared by collecting inputs from recently certified candidates. This practice test has 180 questions covering all chapters of Black belt curriculum 1.0 Define Phase1.1 The Basics of Six Sigma1.1.1 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 & Responsibilities1.2 The Fundamentals of Six Sigma1.2.1 Defining a Process1.2.2 Critical to Quality Characteristics (CTQs)1.2.3 Cost of Poor Quality (COPQ)1.2.4 Pareto Analysis (80:20 rule)1.2.5 Basic Six Sigma Metricsa. including DPU, DPMO, FTY, RTY Cycle Time; deriving these metrics1.3 Selecting Lean Six Sigma Projects1.3.1 Building a Business Case & Project Charter1.3.2 Developing Project Metrics1.3.3 Financial Evaluation & Benefits Capture1.4 The Lean Enterprise1.4.1 Understanding Lean1.4.2 The History of Lean1.4.3 Lean & Six Sigma1.4.4 The Seven Elements of Wastea. Overproduction, Correction, Inventory, Motion, Overprocessing, Conveyance, Waiting.1.4.5 5Sa. Sort, Straighten, Shine, Standardize, Self-Discipline2.0 Measure Phase2.1 Process Definition2.1.1 Cause & Effect / Fishbone Diagrams2.1.2 Process Mapping, SIPOC, Value Stream Map2.1.3 X-Y Diagram2.1.4 Failure Modes & Effects Analysis (FMEA)2.2 Six Sigma Statistics2.2.1 Basic Statistics2.2.2 Descriptive Statistics2.2.3 Normal Distributions & Normality2.2.4 Graphical Analysis2.3 Measurement System Analysis2.3.1 Precision & Accuracy2.3.2 Bias, Linearity & Stability2.3.3 Gage Repeatability & Reproducibility2.3.4 Variable & Attribute MSA2.4 Process Capability2.4.1 Capability Analysis2.4.2 Concept of Stability2.4.3 Attribute & Discrete Capability2.4.4 Monitoring Techniques3.0 Analyze Phase3.1 Patterns of Variation3.1.1 Multi-Vari Analysis3.1.2 Classes of Distributions3.2 Inferential Statistics3.2.1 Understanding Inference3.2.2 Sampling Techniques & Uses3.2.3 Central Limit Theorem3.3 Hypothesis Testing3.3.1 General Concepts & Goals of Hypothesis Testing3.3.2 Significance; Practical vs. Statistical3.3.3 Risk; Alpha & Beta3.3.4 Types of Hypothesis Test3.4 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 Moods 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)a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.4.0 Improve Phase4.1 Simple Linear Regression4.1.1 Correlation4.1.2 Regression Equations4.1.3 Residuals Analysis4.2 Multiple Regression Analysis4.2.1 Non- Linear Regression4.2.2 Multiple Linear Regression4.2.3 Confidence & Prediction Intervals4.2.4 Residuals Analysis4.2.5 Data Transformation, Box Cox4.3 Designed Experiments4.3.1 Experiment Objectives4.3.2 Experimental Methods4.3.3 Experiment Design Considerations4.4 Full Factorial Experiments4.4.1 2k Full Factorial Designs4.4.2 Linear & Quadratic Mathematical Models4.4.3 Balanced & Orthogonal Designs4.4.4 Fit, Diagnose Model and Center Points4.5 Fractional Factorial Experiments4.5.1 Designs4.5.2 Confounding Effects4.5.3 Experimental Resolution5.0 Control Phase5.1 Lean Controls5.1.1 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 SPC5.2.2 I-MR Chart5.2.3 Xbar-R Chart5.2.4 U Chart5.2.5 P Chart5.2.6 NP Chart5.2.7 Xbar-S Chart5.2.8 CuSum Chart5.2.9 EWMA Chart5.2.10 Control Methods5.2.11 Control Chart Anatomy5.2.12 Subgroups, Impact of Variation, Frequency of Sampling5.2.13 Center Line & Control Limit Calculations5.3 Six Sigma Control Plans5.3.1 Cost Benefit Analysis5.3.2 Elements of the Control Plan5.3.3 Elements of the Response Plan
