
CQE: Certified Quality Engineer Certification Video Training Course
The complete solution to prepare for for your exam with CQE: Certified Quality Engineer certification video training course. The CQE: Certified Quality Engineer certification video training course contains a complete set of videos that will provide you with thorough knowledge to understand the key concepts. Top notch prep including ASQ CQE exam dumps, study guide & practice test questions and answers.
CQE: Certified Quality Engineer Certification Video Training Course Exam Curriculum
**** Section I - Management and Leadership (18 Questions) ****
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1. Management and Leadership
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2. 1A-1 History of Quality
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3. 1A-1 Quality Gurus
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4. 1A-1 Quality Guru - Edwards Deming
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5. 1A-1 Deming's 14 Points of Leadership - Part 1
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6. 1A-1 Deming's 14 Points of Leadership - Part 2
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7. 1A-1 Deming's 14 Points of Leadership - Part 3
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8. 1A-1 Deming's 14 Points of Leadership - Part 4
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9. 1A-1 Deming's 14 Points of Leadership - Part 5
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10. 1A-1 Quality Guru - Joseph Juran
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11. 1A-1 Juran's 10 Points of Improvement
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12. 1A-1 Juran's Trilogy
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13. 1A-1 Quality Guru - Philip Crosby
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14. 1A-1 Crosby's Four Absolutes of Quality
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15. 1A-2 Continuous Improvement Tools - Introduction
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16. 1A-2 Continuous Improvement Tools - Lean
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17. 1A-2 Continuous Improvement Tools - Six Sigma
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18. 1A-2 Continuous Improvement Tools - Theory of Constraints (TOC)
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19. 1A-2 Continuous Improvement Tools - SPC
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20. 1A-2 Continuous Improvement Tools - TQM
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21. 1B-1 Strategic Planning
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22. 1B-2 QMS Deployment Techniques
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23. 1B-2a Benchmarking - Part 1
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24. 1B-2a Benchmarking - Part 2
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25. 1B-2a Benchmarking - Part 3
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26. 1B-2b Stakeholder Analysis
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27. 1B-2c Performance Measures - Balanced Score Card
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28. 1B-2c Performance Measures - Leading vs Lagging Indicators
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29. 1B-2d Project Management - Gantt Chart - Part 1
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30. 1B-2d Project Management - Gantt Chart - Part 2
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31. 1B-2d PM Tools - Activity Network Diagrams
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32. 1B-2d PM Tools - Activity Network Diagrams - Example
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33. 1B-2d CPM - Float and Critical Path
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34. 1B-2d CPM - Forward and Backward Pass
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35. 1B-2d PM Tools - PERT (Program Evaluation and Review Technique)
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36. 1B-2d Project Management - Resource Allocation
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37. 1B-3 Quality Information System(QIS)
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38. 1C ASQ Code of Ethics for Professional Conduct
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39. 1D Leadership Principal and Techniques - Types of Teams
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40. 1D Leadership Principal and Techniques - Tuckman's Model
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41. 1E-1Team Roles and Responsibilities
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42. 1E-2 Facilitation Tools - Introduction
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43. 1E-2 Facilitation Tools - Brainstorming
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44. 1E-2 Facilitation Tools - Nominal Group Technique NGT
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45. 1E-2 Facilitation Tools - Multivoting
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46. 1E-2 Facilitation Tools - Conflict Resolution
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47. 1E-2 Facilitation Tools - Force Field Analysis
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48. 1F Communication Skills
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49. 1G Customer Relations
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50. 1G Quality Function Deployment
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51. 1G Customer Satisfaction
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52. 1H Supplier Management Techniques - Introduction
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53. 1H-1Techniques - Supplier Lifecycle Management
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54. 1H-1 Supplier Lifecycle Management - Four Stages
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55. 1H1 Supplier Selection - Overview
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56. 1H1 Supplier Selection Process
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57. 1H-2 Supplier Monitoring and Improvement
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58. 1H-3 Supplier Risk - Introduction
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59. 1H-3 Risk Management Steps
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60. 1H-3 Risk Management Strategies
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61. 1I Barriers to Quality Improvement
**** Section II - The Quality System (16 Questions) ****
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1. 2A-1 Basic elements
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2. 2A-2 Design
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3. 2B-1 Document components
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4. 2B-2 Document control
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5. 2C-1 Quality Standards and Other Guidelines
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6. 2C-2 ISO 9000 Series of Standards
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7. 2C-3 ISO 9001 Revision History
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8. 2C-4 ISO 9001:2015 Reasons Behind the Revision
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9. 2C-5 ISO 9001:2015 Key Changes
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10. 2C-6 ISO 9001 Clauses Explained
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11. 2C-7 Quality Awards - MBNQA
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12. 2D1-1 Types of audits Product Process System
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13. 2D1-2 Types of audits First Second and Third Party
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14. 2D2-1 Roles and responsibilities in audits
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15. 2D2-2 Additional Roles and responsibilities in audits
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16. 2D-3 Audit planning and implementation
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17. 2D-4 Audit reporting and follow- up
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18. 2E-1 Cost of Quality (COQ) - Introduction
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19. 2E-2 Cost of Quality Classification
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20. 2E-3 Cost of Quality Why & Optimum Costs
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21. 2E-4 Cost of Quality Taguchi Loss Function
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22. 2E-5 Cost of Quality Example of Taguchi Loss Function
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23. 2E-6 Taguchi Loss Function three models
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24. 2F-1 Quality Training ADDIE Model
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25. 2F-2 Quality Training Kirkpatrick Model
**** Section III Product, Process, and Service Design (23 questions) ****
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1. 3A Classification of Quality Characteristics
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2. 3A Service Quality Characteristics
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3. 3B-1 Design Inputs - Introduction
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4. 3B-1 Design Input Tools
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5. 3B-1 Robust Design - Introduction
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6. 3B-1 Robust Design - Control and Noise Factors
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7. 3B-1 Robust Design - Type of Noise Factors
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8. 3B-1 Robust Design - Ways to Reduce the Effect of Noise - Part 1
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9. 3B-1 Robust Design - Ways to Reduce the Effect of Noise - Part 2
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10. 3B-1 Robust Design - Signal to Noise Ratio (SNR)
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11. 3B-1 Failure Mode and Effects Analysis (FMEA) - Introduction
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12. 3B-1 Failure Mode and Effects Analysis (FMEA) - Part 1
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13. 3B-1 Failure Mode and Effects Analysis (FMEA) - Part 2
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14. 3B-1 Failure Mode and Effects Analysis (FMEA) - Part 3
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15. 3B-1 Quality Function Deployment (QFD)
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16. 3B-1 Design for X - Introduction
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17. 3B-1 Design for X - Part 1
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18. 3B-1 Design for X - Part 2
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19. 3B-1 Design for Six Sigma (DFSS)
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20. 3B-2 Design Review
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21. 3C Technical Drawing and Specifications - Projections
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22. 3C Drawing - First Angle Projection Symbol
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23. 3C Drawing - First Angle Projection Example
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24. 3C Drawing - Third Angle Projection Symbol
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25. 3C Drawing - Third Angle Projection Example
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26. 3C Drawing - Title Block
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27. 3C Drawing - Line Types
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28. 3C Drawing - Dimensioning
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29. 3C Drawing - Tolerances
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30. 3C Geometric Dimensioning & Tolerancing (GD&T) - Intro
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31. 3C Geometric Dimensioning & Tolerancing (GD&T) - Part 1
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32. 3C Geometric Dimensioning & Tolerancing (GD&T) - Part 2
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33. 3C Geometric Dimensioning & Tolerancing (GD&T) - Part 3
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34. 3D Verification and Validation
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35. 3E-1 Predictive and Preventive Maintenance
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36. 3E-2 Reliability and Maintainability Indices
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37. 3E-2 Measuring Reliability
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38. 3E-2 Mean Time to Failure - MTTF
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39. 3E-2 Mean Time Between Failures - MTBF
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40. 3E-2 Solved Questions - Mean Time Between Failures - MTBF
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41. 3E-2 Mean Time Between Failures - MTBF - Probability Distribution
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42. 3E-2 Mean Time to Repair - MTTR
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43. 3E-3 Reliability Models - Introduction
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44. 3E-3 Reliability Hazard Function
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45. 3E-3 Bathtub Curve
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46. 3E-3 Bathtub Curve - Distributions
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47. 3E-3 Back to Basics - Probability
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48. Probability - Type of Events
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49. 3E-3 Probability - Addition Rule
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50. 3E-3 Probability - Multiplication Rule
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51. 3E-3 Reliability Example - Part 1
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52. 3E-3 Reliability Example - Part 2
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53. 3E-3 System Reliability Components in Series
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54. 3E-3 System Reliability Components in Parallel
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55. 3E-3 System Reliability Example
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56. 3E-3 Weibull Distribution
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57. 3E-3 Exponential Distribution
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58. 3E-3 Exponential Distribution Summary
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59. 3E-3 Exponential Distribution - Example 1
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60. 3E-3 Exponential Distribution - Example 2
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61. 3E-3 Exponential Distribution - Example 3
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62. 3E-4 Fault Tree Analysis
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63. 3E-4 Fault Tree Analysis - Example
**** Section IV. Product and Process Control (25 Questions) ****
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1. 4 -Product and Process Control (25Questions)
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2. 4A Methods - Control Plan
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3. 4A Methods - Critical Control Point (CCP) Identification
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4. 4A Methods - Work Instructions and Validation
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5. 4B-1 Material Identification, Status, and Traceability
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6. 4B-2 Material Segregation
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7. 4B-3 Material Classification
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8. 4B-4 Material Review Board (MRB)
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9. 4C Acceptance Sampling - Introduction
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10. 4C-1 Sample vs Population
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11. 4C-1 Sampling Errors
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12. 4C-1 Acceptance Sampling Standards ANSI Z1.4 and Z1.9, MIL-STD-104 and 414
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13. 4C-1 Acceptable Quality Limit (AQL)
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14. 4C-1 Rejectable Quality Limit (RQL)
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15. 4C-1 Operating Characteristic (OC) Curve Introduction
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16. 4C-1 Plotting an OC Curve - Part 1
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17. 4C-1 Plotting an OC Curve - Part 2
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18. 4C-1 Plotting an OC Curve - Part 3
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19. 4C-1 Average Outgoing Quality (AOQ)
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20. 4C-1 Average Outgoing Quality Limit (AOQL)
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21. 4C-1 Average Total Inspection (ATI)
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22. 4C-2 Sampling Standards
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23. 4C-2 Attribute Sampling
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24. 4C-2 Attribute Sampling - Two Examples
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25. 4C-2 Inspection Levels
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26. 4C-2 Reduced Normal and Tightened Inspection
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27. 4C-2 Single, Double, and Multiple Sampling
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28. 4C-2 Dodge Romig Sampling Plans
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29. 4C-2 Variable Sampling
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30. 4C-3 Sample Integrity
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31. 4D-1 Measurement Tools
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32. 4D -2 Destructive Tests
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33. 4D-2 Nondestructive Tests Part 1
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34. 4D-2 Nondestructive Tests Part 2
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35. 4E Metrology
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36. 4F Measurement system analysis (MSA) - Introduction
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37. 4F - MSA - Accuracy - Bias, Linearity and Stability
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38. 4F - MSA - Precision - Repeatability and Reproducibility / PT Ratio
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39. 4F - Gage R&R - Three Methods - Introduction
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40. 4F - Gage R&R - Range Method
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41. 4F - Gage R&R - Average and Range Method
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42. 4F - Gage R&R - ANOVA Method
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43. 4F Number of Distinct Categories (NDC)
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44. 4F Crossed vs Nested Studies
**** Section V. Continuous Improvement (27 Questions) ****
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1. 5A Quality Control Tools - Introduction
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2. 5A QC Tools - 1. Checksheet
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3. 5A QC Tools - 2. Cause and Effects Analysis
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4. 5A QC Tools - 3. Histogram
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5. 5A QC Tools - 4. Pareto Chart
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6. 5A QC Tools - 5. Scatter Diagram
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7. 5A QC Tools - 6. Control Charts
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8. 5A QC Tools - 7. Stratification
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9. 5A QC Tools - Flow Chart (additional tool in ASQ CQE BoK)
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10. 5B QM&P Tools - 1a. Affinity Diagram
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11. 5B QM&P Tools - 1b. Force Field Analysis
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12. 5B QM&P Tools - 2. Tree Diagram
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13. 5B QM&P Tools - 3. Process Decision Program Charts (PDPC)
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14. 5B QM&P Tools - 4. Matrix Diagram
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15. 5B QM&P Tools - 5. Interrelationship Digraphs
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16. 5B QM&P Tools - 6. Prioritization Matrix
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17. 5B QM&P Tools - 7. Activity Network Diagram
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18. 5C-2 Kaizen
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19. 5C-3 Plan-do-check-act (PDCA)
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20. 5C-5 Theory of Constraints (TOC) - Introduction
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21. 5C-5 Theory of Constraints (TOC) - Five Steps
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22. 5C-5 Theory of Constraints (TOC) - Drum Buffer Rope
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23. 5D1 - 5S Workplace Improvement
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24. 5D2 - Value-stream Mapping (VSM)
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25. 5D3 - Kanban
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26. 5D4 Visual Control
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27. 5D5 Waste (Muda)
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28. 5D5 - Types of Muda - Part 1
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29. 5D5 - Types of Muda - Part 2
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30. 5D6 - Standardized Work
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31. 5D7 - Takt Time and other Process Matrics
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32. 5D8 - Single Minute Exchange of Die (SMED)
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33. 5E Corrective Action
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34. 5E Root Cause Analysis (RCA)
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35. 5F Preventive Action
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36. 5F Poka-yoke for Preventive Action
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37. 5F Robust Design for Preventive Action
**** Section VI. Quantitative Methods and Tools (36 Questions)****
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1. 6A-1 Type of data
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2. 6A-2 Measurement scales
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3. 6A-3 Data Collection Methods
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4. 6A-3 Data Coding
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5. 6A-3 Missing Data
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6. 6A-4 Data accuracy and integrity
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7. 6A-5 Descriptive Statistics - Introduction
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8. 6A-5 Measurements of Central Tendency
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9. 6A-5 Measurements of Dispersion
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10. 6A-6 Stem-and-leaf Plot
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11. 6A-6 Box-and-Whisker Plot
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12. 6A-6 Scatter Plot
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13. 6A-7 Graphical Methods for Depicting Distributions
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14. 6B-1 Terminology - Type I and Type II Errors
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15. 6B-1 Hypothesis Testing Explained
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16. 6B-1 How to read the Z Table?
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17. 6B-1 Understanding the p Value
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18. 6B-1 Calculating Sample Size
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19. 6B-2 Drawing statistical conclusions
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20. 6B-3 Probability Terms and Concepts - Part 1
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21. 6B-3 Probability Terms and Concepts - Part 2
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22. 6B-3 Probability Terms and Concepts - Part 3
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23. 6B-3 Factorial, Permutations and Combinations
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24. 6C Normal Probability Distribution
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25. 6C Binomial Probability Distribution
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26. 6C Bernoulli and Hypergeometric Distribution
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27. 6C Poisson Distribution
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28. 6D-1 Point Estimates and Confidence Intervals - Introduction
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29. 6D-1 Factors Affecting Confidence Interval Width
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30. 6D-1 Calculating Confidence Interval Using Z Table
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31. 6D-1 Calculating Confidence Interval Using t Table
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32. 6D-1 Calculating Confidence Interval for Proportions
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33. 6D-1 Variance Confidence Interval
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34. 6D-2 Hypothesis Testing - Introduction
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35. 6D-2 One Sample z Test
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36. 6D-2 One Sample t Test
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37. 6D-2 One Sample Proportions Test
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38. 6D-2 Two Sample z Test
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39. 6D-2 Two Sample t Test - Introduction
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40. 6D-2 Two Sample t Test - Example with Equal Variance
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41. 6D-2 Two Sample t Test - Example with Un-equal Variance
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42. 6D-3 Paired -comparision tests (Paired t Test)
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43. 6D-3 Two Sample p Test
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44. 6D-2 Tests for Variance
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45. 6D-2 F Test for Comparing Variances
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46. 6D-2 Chi-square Test for Variance
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47. 6D-5 Analysis of Variance (ANOVA) - Introduction
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48. 6D-5 ANOVA - Comparing Means Without Any Calculation
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49. 6D-5 ANOVA Formulas
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50. 6D-5 ANOVA Manual Calculations Example
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51. 6D-5 ANOVA Using Microsoft Excel
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52. 6D-5 ANOVA - Example (Expect something like this in the CQE exam)
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53. 6D-4 Goodness -of-fit tests
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54. 6D-6 Contingency Tables
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55. 6D-6 Contingency Tables (Practice Problem)
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56. 6E Simple Linear Correlation - Introduction
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57. 6E Correlation Coefficient Manual Calculation
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58. 6E Correlation Coefficient - Calculating Using MS Excel
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59. 6E Correlation - Summary
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60. 6E Correlation vs Causation
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61. 6E Correlation - Confidence Interval
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62. 6E Linear Regression - Coefficient of Determination
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63. 6E Regression Equation - Manual Calculation
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64. 6E Residual Analysis
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65. 6E Time-series Analysis
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66. 6F-1 Statistical Process Control (SPC) Objectives and Benefits
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67. 6F-2 Common and Special Causes
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68. 6F-3 Selection of Variable
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69. 6F-4 Rational subgrouping
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70. 6F-5 Selecting Control Charts
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71. 6F-5 ImR or XmR Charts
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72. 6F-5 X bar R Charts
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73. 6F-5 X-bar s Charts
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74. 6F-5 Attribute Control Charts - Introduction
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75. 6F-5 nP Charts
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76. 6F5 P Charts
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77. 6F-5 C Charts
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78. 6F-5 U Charts
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79. 6F-6 Control Chart Analysis - Nelson Rules
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80. 6F-6 Nelson Rules - Calculating Probabilities
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81. 6F-7 Pre-control charts
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82. 6F-8 Short- run SPC - Part 1 - Introduction and Difference Chart
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83. 6F-8 Short- run SPC - Part 2 - Z-MR Chart
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84. 6G Process Performance vs. Specifications
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85. 6G Process Capability Indices - Part 1
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86. 6G Process Capability Indices - Cr - Part 1A
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87. 6G Process Capability Indices - Part 2
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88. 6G Process Performance Indices
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89. 6G Conducting Process Capability Studies
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90. 6H Design and Analysis of Experiments (DoE) Introduction
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91. 6H-1 Terminology - Factors and Response
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92. 6H-1 Terminology - An Example of Lauching Branded Coffee
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93. 6H-1 Terminology - Interaction Chart
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94. 6H-1 Terminology - Contour Plot
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95. 6H-1 Terminology - Mathematical Equation
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96. 6H-2 Planning and organizing experiments
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97. 6H-3 Introducing Interaction
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98. 6H-3 DOE Equation with Interaction
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99. 6H-3 Design of Experiments - Definitions
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100. 6H-3 Three Factors Experiment
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101. 6H-3 Half Factorial Design and Resolutions
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102. 6H-3 DOE Nuisance Factors and Balanced Design
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103. 6H-4 One-factor Experiments - Introduction
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104. 6H-4 One-factor Experiments - Completely Randomized Experiments
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105. 6H-4 One-factor Experiments -Randomized Block Design
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106. 6H-4 One-factor Experiments - Latin and Graeco Latin Square Design
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107. 6H-6 Two-level Fractional Factorial Experiments - Introduction
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108. 6H-6 Two-level Fractional Factorial Experiments - Number of Experiments
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109. 6H-6 Two-level Fractional Factorial Experiments - Plackett Burman Design
**** Section VII. Risk Management (15 Questions) ****
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1. 7A Risk Related Definitions
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2. 7A Planning for Risk Management
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3. 7A Identifying Risks
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4. 7B Risk Assessment
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5. 7C Risk Control - Introduction
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6. 7C Risk Control - Negative Risks
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7. 7C Risk Control - Positive Risks
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8. 7C Monitor and Control Risks
About CQE: Certified Quality Engineer Certification Video Training Course
CQE: Certified Quality Engineer certification video training course by prepaway along with practice test questions and answers, study guide and exam dumps provides the ultimate training package to help you pass.
Certified Quality Engineer Preparation Program (CQE)
Course Overview
The Certified Quality Engineer (CQE) training course is designed to prepare professionals for the ASQ CQE exam and to enhance their skills in quality engineering practices. This course covers a broad range of topics essential to quality engineering, including quality management systems, product and process design, reliability, and continuous improvement techniques. Participants will gain practical knowledge that can be immediately applied in various industries to improve product quality and process efficiency.
The course is structured to provide both foundational concepts and advanced tools necessary for effective quality engineering. It balances theory with real-world application, ensuring learners understand the principles behind quality methodologies and how to implement them in their work environments. Through detailed lessons, case studies, and practice questions, participants will develop the confidence to pass the certification exam and excel in their quality engineering roles.
The training emphasizes understanding quality from a system-wide perspective. It covers quality control and assurance principles, statistical tools, and leadership strategies, enabling professionals to influence their organizations positively. The course content is aligned with the Body of Knowledge outlined by the American Society for Quality (ASQ), ensuring it is up to date and relevant to current industry standards.
Importance of Quality Engineering
Quality engineering plays a critical role in modern manufacturing and service industries. It focuses on designing systems and processes that consistently produce products meeting customer requirements. Effective quality engineering reduces costs by minimizing waste, rework, and defects. It also enhances customer satisfaction and competitiveness in the market.
By mastering quality engineering principles, professionals can help organizations achieve operational excellence and regulatory compliance. This training empowers individuals to take on leadership roles in quality management, process improvement, and product reliability.
Who Should Take This Course?
This training is ideal for quality engineers, quality managers, process engineers, manufacturing engineers, and anyone involved in quality management activities. It is particularly beneficial for those preparing to take the CQE certification exam. The course is also suitable for professionals aiming to strengthen their knowledge of quality systems and apply advanced quality techniques within their organizations.
Participants from various sectors such as manufacturing, healthcare, aerospace, automotive, and service industries will find this course valuable. Whether you are new to quality engineering or seeking to update your skills, this training provides comprehensive coverage of essential concepts and best practices.
Learning Objectives
By the end of this course, participants will be able to understand and apply quality engineering principles effectively. They will gain proficiency in quality management systems, statistical methods, and problem-solving techniques. The course also prepares learners to manage and lead quality initiatives, conduct audits, and implement continuous improvement projects.
Participants will learn how to interpret and use data for decision-making, develop process control plans, and design experiments for process optimization. These skills will help them contribute to their organizations’ success and advance their professional careers.
Structure of the Course
The course is divided into modules that progressively build knowledge and skills. Each module focuses on key areas relevant to quality engineering and the CQE exam. The content includes explanations of concepts, practical examples, case studies, and review questions to reinforce learning.
Interactive discussions and exercises are incorporated to encourage active participation and deeper understanding. The course also includes exam preparation tips and strategies to help participants feel confident when taking the certification test.
Modules Overview
Module 1: Quality Management Systems
This module introduces quality management systems (QMS) and their role in organizations. It covers international standards such as ISO 9001 and how these frameworks guide the development and maintenance of effective QMS. Participants will learn about quality policy, objectives, and the importance of leadership commitment.
The module also discusses documentation requirements, including procedures, work instructions, and records. Emphasis is placed on continual improvement and customer focus as core principles of quality management.
Module 2: Product and Process Design
In this module, learners explore techniques used in product and process design to ensure quality from the outset. Topics include design for quality, design reviews, and failure mode and effects analysis (FMEA). The focus is on identifying potential risks early and implementing controls to prevent defects.
Process design aspects cover process mapping, process capability analysis, and process validation. Participants gain insight into designing robust processes that produce consistent, high-quality outputs.
Module 3: Statistical Methods for Quality Control
This module covers statistical tools that are essential for quality control and process improvement. Key topics include descriptive statistics, probability distributions, hypothesis testing, and confidence intervals.
Participants will learn how to use control charts to monitor process performance and detect variations. The module also introduces analysis of variance (ANOVA) and regression analysis for understanding relationships between variables.
Module 4: Reliability and Risk Management
Reliability engineering ensures that products perform consistently over time. This module addresses reliability concepts, life data analysis, and maintainability. Techniques for estimating product life and failure rates are discussed.
Risk management principles are also covered, including risk identification, assessment, and mitigation strategies. Participants will learn how to apply risk-based thinking to quality decision-making.
Module 5: Continuous Improvement and Lean Principles
Continuous improvement is a vital aspect of quality engineering. This module introduces methodologies such as Six Sigma, Lean manufacturing, and Kaizen. Participants explore tools for identifying waste, improving process flow, and reducing variation.
The module emphasizes the importance of data-driven decision-making and teamwork in driving improvement projects. Case studies highlight successful continuous improvement initiatives.
Module 6: Auditing and Quality Assessment
Auditing ensures that quality management systems are effectively implemented and maintained. This module covers audit planning, execution, and reporting. Participants will understand the roles and responsibilities of auditors and how to conduct internal and external audits.
The importance of corrective and preventive actions is discussed, along with methods for tracking and verifying their effectiveness. This module also explores supplier quality management and assessment.
Module 7: Leadership and Team Dynamics in Quality
Effective leadership is essential for fostering a quality culture. This module focuses on leadership styles, communication skills, and team dynamics. Participants learn how to motivate teams, manage conflicts, and drive change.
The module also addresses ethical considerations in quality management and the role of quality engineers as change agents within organizations.
Benefits of Taking This Training
This course provides practical knowledge that can be applied immediately in professional settings. It equips participants with tools to identify quality issues and implement effective solutions. The comprehensive coverage of the CQE Body of Knowledge ensures readiness for the certification exam.
Beyond exam preparation, the course enhances participants’ ability to lead quality initiatives and contribute to organizational success. The skills gained improve efficiency, reduce costs, and increase customer satisfaction.
Certified Quality Engineer Training Requirements
Educational Background
This course requires participants to have a basic understanding of mathematics and statistics. A high school diploma or equivalent is generally sufficient, but those with a college degree in engineering, science, or related fields often find the material easier to grasp.
Familiarity with fundamental concepts of quality and manufacturing processes is helpful but not mandatory. The course is designed to build knowledge progressively, so even those new to quality engineering can follow along if they commit to the learning process.
Work Experience Recommendations
While no strict work experience is mandatory to enroll, having professional experience in quality, manufacturing, engineering, or process improvement significantly benefits participants. Experience helps contextualize theoretical concepts and enhances the understanding of practical applications.
For the ASQ Certified Quality Engineer exam, candidates are recommended to have at least 4 years of work experience in quality engineering or a related area. This experience should include time spent on quality-related projects, problem-solving, and process control activities.
Technical Skills Needed
Participants should be comfortable working with basic statistics and data interpretation. The course involves the use of statistical tools like control charts, hypothesis testing, and capability analysis, so some familiarity with these concepts or willingness to learn is necessary.
Basic computer skills are required for accessing course materials, using statistical software, and participating in online discussions or assignments. A willingness to engage with digital learning platforms enhances the training experience.
Time Commitment
The course requires a commitment of time both for attending sessions and for individual study. Depending on the format (instructor-led, self-paced, or blended), participants should expect to dedicate several hours per week over several weeks or months.
Consistent study and review are crucial to mastering the material and performing well on the certification exam. Participants are encouraged to schedule regular study times and make use of practice tests and quizzes provided during the course.
Detailed Course Description
Comprehensive Coverage of Quality Engineering
This training course provides an in-depth exploration of all major topics outlined in the ASQ CQE Body of Knowledge. It begins with the foundations of quality management systems and progressively covers advanced statistical methods and quality improvement strategies.
Participants will dive into the principles that underpin quality systems and learn how to apply them in real-world scenarios. The course content balances theoretical understanding with practical application to build both knowledge and skills.
Focus on Practical Application
Throughout the course, learners engage with practical examples, case studies, and exercises designed to simulate real-life quality challenges. These activities help reinforce concepts and develop problem-solving skills that are critical for quality engineers.
The course emphasizes the use of data for decision-making, teaching participants how to analyze process performance and identify root causes of defects. By working through these examples, learners develop confidence in applying quality tools effectively.
Exam Preparation
A key component of the course is preparing participants for the CQE certification exam. This includes review sessions, sample questions, and test-taking strategies. The course instructors provide guidance on how to approach exam questions and manage time during the test.
Mock exams and quizzes help learners assess their readiness and identify areas that require additional study. The training builds exam confidence and ensures participants understand the format and expectations of the certification test.
Interactive Learning Environment
The course fosters an interactive learning environment where participants can ask questions, share experiences, and collaborate on problem-solving activities. Discussions with instructors and peers deepen understanding and encourage the exchange of ideas.
Learning is supported by multimedia content including video lectures, reading materials, and practical assignments. This variety caters to different learning styles and helps maintain engagement throughout the course.
Updates and Industry Relevance
The course content is regularly updated to reflect changes in industry standards, best practices, and ASQ certification requirements. This ensures that participants receive current and relevant information.
By staying aligned with industry trends, the training helps professionals maintain a competitive edge and contribute to quality advancements in their organizations.
Who This Course Is For
Quality Engineers
Quality engineers seeking certification or looking to deepen their understanding of quality principles benefit greatly from this course. It provides the knowledge and skills needed to design, implement, and improve quality systems effectively.
Certified quality engineers enhance their credibility and career prospects by completing this training, gaining expertise in both theory and application.
Quality Managers and Supervisors
Managers and supervisors responsible for overseeing quality programs will find the course valuable for understanding the technical aspects of quality control and process improvement.
The training equips them with tools to support their teams, interpret quality data, and lead initiatives that improve product and service quality.
Process Engineers and Manufacturing Professionals
Professionals involved in process design, manufacturing, and production benefit from learning how quality engineering principles apply to their work. The course helps them design robust processes and monitor performance to reduce defects and improve efficiency.
These skills support operational excellence and contribute to cost savings in production.
Individuals Preparing for ASQ CQE Certification
This course is specifically tailored for individuals preparing for the ASQ Certified Quality Engineer exam. It covers the complete Body of Knowledge required for certification and offers targeted exam preparation resources.
Candidates gain confidence through practice questions, review sessions, and expert guidance on exam strategies.
Professionals in Related Fields
Engineers, auditors, consultants, and others involved in quality assurance, regulatory compliance, and continuous improvement also benefit from this course. It broadens their knowledge base and enhances their ability to contribute to quality initiatives.
The interdisciplinary approach makes it suitable for a wide range of professionals aiming to improve organizational quality performance.
Additional Skills Developed
Analytical Thinking
Participants develop strong analytical thinking skills, learning how to interpret complex data sets and draw meaningful conclusions. This enables more effective problem-solving and decision-making in quality management.
Communication and Leadership
The course emphasizes the role of communication and leadership in quality engineering. Learners improve their ability to convey quality concepts, lead teams, and foster a culture of continuous improvement.
Project Management
Quality projects often require careful planning and execution. This training provides insights into managing quality-related projects, including resource allocation, scheduling, and performance monitoring.
Course Delivery Methods
Instructor-Led Training
This format provides live instruction, allowing participants to interact directly with expert trainers. It offers opportunities for real-time questions, group discussions, and hands-on activities.
Self-Paced Online Learning
Self-paced courses offer flexibility, allowing learners to study at their own pace and schedule. Materials include videos, readings, and quizzes accessible anytime.
Blended Learning
A combination of instructor-led sessions and self-paced study, blended learning provides structure and flexibility. It often includes online resources supplemented with live workshops or webinars.
Support and Resources
Study Materials
Participants receive comprehensive study guides, reference materials, and practice exams. These resources support independent study and reinforce course content.
Access to Experts
Many courses offer access to instructors or mentors who can answer questions and provide personalized feedback. This support helps clarify difficult topics and guide learning.
Community and Networking
Joining the course often includes access to a community of fellow learners and professionals. Networking opportunities encourage sharing best practices and professional growth.
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