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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4:00
1. Management and Leadership
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5:00
2. 1A-1 History of Quality
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2:00
3. 1A-1 Quality Gurus
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4:00
4. 1A-1 Quality Guru - Edwards Deming
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4:00
5. 1A-1 Deming's 14 Points of Leadership - Part 1
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6:00
6. 1A-1 Deming's 14 Points of Leadership - Part 2
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4:00
7. 1A-1 Deming's 14 Points of Leadership - Part 3
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5:00
8. 1A-1 Deming's 14 Points of Leadership - Part 4
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3:00
9. 1A-1 Deming's 14 Points of Leadership - Part 5
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4:00
10. 1A-1 Quality Guru - Joseph Juran
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3:00
11. 1A-1 Juran's 10 Points of Improvement
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4:00
12. 1A-1 Juran's Trilogy
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3:00
13. 1A-1 Quality Guru - Philip Crosby
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7:00
14. 1A-1 Crosby's Four Absolutes of Quality
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1:00
15. 1A-2 Continuous Improvement Tools - Introduction
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7:00
16. 1A-2 Continuous Improvement Tools - Lean
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10:00
17. 1A-2 Continuous Improvement Tools - Six Sigma
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9:00
18. 1A-2 Continuous Improvement Tools - Theory of Constraints (TOC)
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3:00
19. 1A-2 Continuous Improvement Tools - SPC
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2:00
20. 1A-2 Continuous Improvement Tools - TQM
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5:00
21. 1B-1 Strategic Planning
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3:00
22. 1B-2 QMS Deployment Techniques
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6:00
23. 1B-2a Benchmarking - Part 1
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5:00
24. 1B-2a Benchmarking - Part 2
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3:00
25. 1B-2a Benchmarking - Part 3
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7:00
26. 1B-2b Stakeholder Analysis
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8:00
27. 1B-2c Performance Measures - Balanced Score Card
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3:00
28. 1B-2c Performance Measures - Leading vs Lagging Indicators
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4:00
29. 1B-2d Project Management - Gantt Chart - Part 1
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3:00
30. 1B-2d Project Management - Gantt Chart - Part 2
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3:00
31. 1B-2d PM Tools - Activity Network Diagrams
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7:00
32. 1B-2d PM Tools - Activity Network Diagrams - Example
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4:00
33. 1B-2d CPM - Float and Critical Path
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12:00
34. 1B-2d CPM - Forward and Backward Pass
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6:00
35. 1B-2d PM Tools - PERT (Program Evaluation and Review Technique)
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7:00
36. 1B-2d Project Management - Resource Allocation
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5:00
37. 1B-3 Quality Information System(QIS)
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6:00
38. 1C ASQ Code of Ethics for Professional Conduct
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5:00
39. 1D Leadership Principal and Techniques - Types of Teams
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8:00
40. 1D Leadership Principal and Techniques - Tuckman's Model
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5:00
41. 1E-1Team Roles and Responsibilities
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2:00
42. 1E-2 Facilitation Tools - Introduction
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3:00
43. 1E-2 Facilitation Tools - Brainstorming
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3:00
44. 1E-2 Facilitation Tools - Nominal Group Technique NGT
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4:00
45. 1E-2 Facilitation Tools - Multivoting
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5:00
46. 1E-2 Facilitation Tools - Conflict Resolution
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3:00
47. 1E-2 Facilitation Tools - Force Field Analysis
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4:00
48. 1F Communication Skills
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1:00
49. 1G Customer Relations
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8:00
50. 1G Quality Function Deployment
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7:00
51. 1G Customer Satisfaction
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5:00
52. 1H Supplier Management Techniques - Introduction
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2:00
53. 1H-1Techniques - Supplier Lifecycle Management
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3:00
54. 1H-1 Supplier Lifecycle Management - Four Stages
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2:00
55. 1H1 Supplier Selection - Overview
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7:00
56. 1H1 Supplier Selection Process
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5:00
57. 1H-2 Supplier Monitoring and Improvement
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6:00
58. 1H-3 Supplier Risk - Introduction
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2:00
59. 1H-3 Risk Management Steps
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8:00
60. 1H-3 Risk Management Strategies
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3:00
61. 1I Barriers to Quality Improvement
**** Section II - The Quality System (16 Questions) ****
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5:00
1. 2A-1 Basic elements
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4:00
2. 2A-2 Design
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7:00
3. 2B-1 Document components
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8:00
4. 2B-2 Document control
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5:00
5. 2C-1 Quality Standards and Other Guidelines
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3:00
6. 2C-2 ISO 9000 Series of Standards
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2:00
7. 2C-3 ISO 9001 Revision History
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4:00
8. 2C-4 ISO 9001:2015 Reasons Behind the Revision
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5:00
9. 2C-5 ISO 9001:2015 Key Changes
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12:00
10. 2C-6 ISO 9001 Clauses Explained
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6:00
11. 2C-7 Quality Awards - MBNQA
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4:00
12. 2D1-1 Types of audits Product Process System
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5:00
13. 2D1-2 Types of audits First Second and Third Party
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7:00
14. 2D2-1 Roles and responsibilities in audits
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3:00
15. 2D2-2 Additional Roles and responsibilities in audits
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5:00
16. 2D-3 Audit planning and implementation
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8:00
17. 2D-4 Audit reporting and follow- up
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4:00
18. 2E-1 Cost of Quality (COQ) - Introduction
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7:00
19. 2E-2 Cost of Quality Classification
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8:00
20. 2E-3 Cost of Quality Why & Optimum Costs
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8:00
21. 2E-4 Cost of Quality Taguchi Loss Function
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3:00
22. 2E-5 Cost of Quality Example of Taguchi Loss Function
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2:00
23. 2E-6 Taguchi Loss Function three models
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3:00
24. 2F-1 Quality Training ADDIE Model
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4:00
25. 2F-2 Quality Training Kirkpatrick Model
**** Section III Product, Process, and Service Design (23 questions) ****
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5:00
1. 3A Classification of Quality Characteristics
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6:00
2. 3A Service Quality Characteristics
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3:00
3. 3B-1 Design Inputs - Introduction
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5:00
4. 3B-1 Design Input Tools
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6:00
5. 3B-1 Robust Design - Introduction
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5:00
6. 3B-1 Robust Design - Control and Noise Factors
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2:00
7. 3B-1 Robust Design - Type of Noise Factors
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5:00
8. 3B-1 Robust Design - Ways to Reduce the Effect of Noise - Part 1
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6:00
9. 3B-1 Robust Design - Ways to Reduce the Effect of Noise - Part 2
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8:00
10. 3B-1 Robust Design - Signal to Noise Ratio (SNR)
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4:00
11. 3B-1 Failure Mode and Effects Analysis (FMEA) - Introduction
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8:00
12. 3B-1 Failure Mode and Effects Analysis (FMEA) - Part 1
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4:00
13. 3B-1 Failure Mode and Effects Analysis (FMEA) - Part 2
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4:00
14. 3B-1 Failure Mode and Effects Analysis (FMEA) - Part 3
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3:00
15. 3B-1 Quality Function Deployment (QFD)
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3:00
16. 3B-1 Design for X - Introduction
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8:00
17. 3B-1 Design for X - Part 1
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4:00
18. 3B-1 Design for X - Part 2
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10:00
19. 3B-1 Design for Six Sigma (DFSS)
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5:00
20. 3B-2 Design Review
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8:00
21. 3C Technical Drawing and Specifications - Projections
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5:00
22. 3C Drawing - First Angle Projection Symbol
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4:00
23. 3C Drawing - First Angle Projection Example
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4:00
24. 3C Drawing - Third Angle Projection Symbol
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4:00
25. 3C Drawing - Third Angle Projection Example
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8:00
26. 3C Drawing - Title Block
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5:00
27. 3C Drawing - Line Types
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4:00
28. 3C Drawing - Dimensioning
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10:00
29. 3C Drawing - Tolerances
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3:00
30. 3C Geometric Dimensioning & Tolerancing (GD&T) - Intro
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4:00
31. 3C Geometric Dimensioning & Tolerancing (GD&T) - Part 1
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2:00
32. 3C Geometric Dimensioning & Tolerancing (GD&T) - Part 2
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6:00
33. 3C Geometric Dimensioning & Tolerancing (GD&T) - Part 3
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4:00
34. 3D Verification and Validation
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5:00
35. 3E-1 Predictive and Preventive Maintenance
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7:00
36. 3E-2 Reliability and Maintainability Indices
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3:00
37. 3E-2 Measuring Reliability
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5:00
38. 3E-2 Mean Time to Failure - MTTF
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3:00
39. 3E-2 Mean Time Between Failures - MTBF
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4:00
40. 3E-2 Solved Questions - Mean Time Between Failures - MTBF
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6:00
41. 3E-2 Mean Time Between Failures - MTBF - Probability Distribution
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2:00
42. 3E-2 Mean Time to Repair - MTTR
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7:00
43. 3E-3 Reliability Models - Introduction
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4:00
44. 3E-3 Reliability Hazard Function
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5:00
45. 3E-3 Bathtub Curve
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5:00
46. 3E-3 Bathtub Curve - Distributions
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9:00
47. 3E-3 Back to Basics - Probability
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5:00
48. Probability - Type of Events
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4:00
49. 3E-3 Probability - Addition Rule
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5:00
50. 3E-3 Probability - Multiplication Rule
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5:00
51. 3E-3 Reliability Example - Part 1
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4:00
52. 3E-3 Reliability Example - Part 2
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4:00
53. 3E-3 System Reliability Components in Series
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4:00
54. 3E-3 System Reliability Components in Parallel
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11:00
55. 3E-3 System Reliability Example
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8:00
56. 3E-3 Weibull Distribution
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6:00
57. 3E-3 Exponential Distribution
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4:00
58. 3E-3 Exponential Distribution Summary
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4:00
59. 3E-3 Exponential Distribution - Example 1
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4:00
60. 3E-3 Exponential Distribution - Example 2
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4:00
61. 3E-3 Exponential Distribution - Example 3
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6:00
62. 3E-4 Fault Tree Analysis
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5:00
63. 3E-4 Fault Tree Analysis - Example
**** Section IV. Product and Process Control (25 Questions) ****
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3:00
1. 4 -Product and Process Control (25Questions)
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5:00
2. 4A Methods - Control Plan
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4:00
3. 4A Methods - Critical Control Point (CCP) Identification
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4:00
4. 4A Methods - Work Instructions and Validation
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8:00
5. 4B-1 Material Identification, Status, and Traceability
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2:00
6. 4B-2 Material Segregation
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9:00
7. 4B-3 Material Classification
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3:00
8. 4B-4 Material Review Board (MRB)
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5:00
9. 4C Acceptance Sampling - Introduction
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5:00
10. 4C-1 Sample vs Population
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8:00
11. 4C-1 Sampling Errors
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4:00
12. 4C-1 Acceptance Sampling Standards ANSI Z1.4 and Z1.9, MIL-STD-104 and 414
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7:00
13. 4C-1 Acceptable Quality Limit (AQL)
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4:00
14. 4C-1 Rejectable Quality Limit (RQL)
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6:00
15. 4C-1 Operating Characteristic (OC) Curve Introduction
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6:00
16. 4C-1 Plotting an OC Curve - Part 1
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7:00
17. 4C-1 Plotting an OC Curve - Part 2
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6:00
18. 4C-1 Plotting an OC Curve - Part 3
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7:00
19. 4C-1 Average Outgoing Quality (AOQ)
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3:00
20. 4C-1 Average Outgoing Quality Limit (AOQL)
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6:00
21. 4C-1 Average Total Inspection (ATI)
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3:00
22. 4C-2 Sampling Standards
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4:00
23. 4C-2 Attribute Sampling
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5:00
24. 4C-2 Attribute Sampling - Two Examples
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6:00
25. 4C-2 Inspection Levels
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6:00
26. 4C-2 Reduced Normal and Tightened Inspection
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10:00
27. 4C-2 Single, Double, and Multiple Sampling
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9:00
28. 4C-2 Dodge Romig Sampling Plans
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8:00
29. 4C-2 Variable Sampling
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3:00
30. 4C-3 Sample Integrity
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9:00
31. 4D-1 Measurement Tools
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10:00
32. 4D -2 Destructive Tests
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3:00
33. 4D-2 Nondestructive Tests Part 1
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10:00
34. 4D-2 Nondestructive Tests Part 2
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12:00
35. 4E Metrology
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14:00
36. 4F Measurement system analysis (MSA) - Introduction
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7:00
37. 4F - MSA - Accuracy - Bias, Linearity and Stability
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13:00
38. 4F - MSA - Precision - Repeatability and Reproducibility / PT Ratio
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5:00
39. 4F - Gage R&R - Three Methods - Introduction
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6:00
40. 4F - Gage R&R - Range Method
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19:00
41. 4F - Gage R&R - Average and Range Method
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12:00
42. 4F - Gage R&R - ANOVA Method
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10:00
43. 4F Number of Distinct Categories (NDC)
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4:00
44. 4F Crossed vs Nested Studies
**** Section V. Continuous Improvement (27 Questions) ****
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2:00
1. 5A Quality Control Tools - Introduction
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5:00
2. 5A QC Tools - 1. Checksheet
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5:00
3. 5A QC Tools - 2. Cause and Effects Analysis
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5:00
4. 5A QC Tools - 3. Histogram
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5:00
5. 5A QC Tools - 4. Pareto Chart
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4:00
6. 5A QC Tools - 5. Scatter Diagram
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5:00
7. 5A QC Tools - 6. Control Charts
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5:00
8. 5A QC Tools - 7. Stratification
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5:00
9. 5A QC Tools - Flow Chart (additional tool in ASQ CQE BoK)
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4:00
10. 5B QM&P Tools - 1a. Affinity Diagram
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3:00
11. 5B QM&P Tools - 1b. Force Field Analysis
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3:00
12. 5B QM&P Tools - 2. Tree Diagram
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4:00
13. 5B QM&P Tools - 3. Process Decision Program Charts (PDPC)
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8:00
14. 5B QM&P Tools - 4. Matrix Diagram
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6:00
15. 5B QM&P Tools - 5. Interrelationship Digraphs
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3:00
16. 5B QM&P Tools - 6. Prioritization Matrix
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25:00
17. 5B QM&P Tools - 7. Activity Network Diagram
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3:00
18. 5C-2 Kaizen
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2:00
19. 5C-3 Plan-do-check-act (PDCA)
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9:00
20. 5C-5 Theory of Constraints (TOC) - Introduction
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4:00
21. 5C-5 Theory of Constraints (TOC) - Five Steps
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5:00
22. 5C-5 Theory of Constraints (TOC) - Drum Buffer Rope
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5:00
23. 5D1 - 5S Workplace Improvement
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7:00
24. 5D2 - Value-stream Mapping (VSM)
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6:00
25. 5D3 - Kanban
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6:00
26. 5D4 Visual Control
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8:00
27. 5D5 Waste (Muda)
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11:00
28. 5D5 - Types of Muda - Part 1
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13:00
29. 5D5 - Types of Muda - Part 2
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3:00
30. 5D6 - Standardized Work
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17:00
31. 5D7 - Takt Time and other Process Matrics
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7:00
32. 5D8 - Single Minute Exchange of Die (SMED)
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5:00
33. 5E Corrective Action
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2:00
34. 5E Root Cause Analysis (RCA)
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3:00
35. 5F Preventive Action
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3:00
36. 5F Poka-yoke for Preventive Action
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4:00
37. 5F Robust Design for Preventive Action
**** Section VI. Quantitative Methods and Tools (36 Questions)****
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12:00
1. 6A-1 Type of data
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12:00
2. 6A-2 Measurement scales
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5:00
3. 6A-3 Data Collection Methods
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12:00
4. 6A-3 Data Coding
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4:00
5. 6A-3 Missing Data
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8:00
6. 6A-4 Data accuracy and integrity
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5:00
7. 6A-5 Descriptive Statistics - Introduction
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12:00
8. 6A-5 Measurements of Central Tendency
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12:00
9. 6A-5 Measurements of Dispersion
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7:00
10. 6A-6 Stem-and-leaf Plot
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4:00
11. 6A-6 Box-and-Whisker Plot
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3:00
12. 6A-6 Scatter Plot
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8:00
13. 6A-7 Graphical Methods for Depicting Distributions
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16:00
14. 6B-1 Terminology - Type I and Type II Errors
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13:00
15. 6B-1 Hypothesis Testing Explained
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9:00
16. 6B-1 How to read the Z Table?
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4:00
17. 6B-1 Understanding the p Value
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10:00
18. 6B-1 Calculating Sample Size
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5:00
19. 6B-2 Drawing statistical conclusions
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8:00
20. 6B-3 Probability Terms and Concepts - Part 1
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10:00
21. 6B-3 Probability Terms and Concepts - Part 2
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16:00
22. 6B-3 Probability Terms and Concepts - Part 3
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7:00
23. 6B-3 Factorial, Permutations and Combinations
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20:00
24. 6C Normal Probability Distribution
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16:00
25. 6C Binomial Probability Distribution
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10:00
26. 6C Bernoulli and Hypergeometric Distribution
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6:00
27. 6C Poisson Distribution
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7:00
28. 6D-1 Point Estimates and Confidence Intervals - Introduction
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6:00
29. 6D-1 Factors Affecting Confidence Interval Width
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5:00
30. 6D-1 Calculating Confidence Interval Using Z Table
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10:00
31. 6D-1 Calculating Confidence Interval Using t Table
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5:00
32. 6D-1 Calculating Confidence Interval for Proportions
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12:00
33. 6D-1 Variance Confidence Interval
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5:00
34. 6D-2 Hypothesis Testing - Introduction
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7:00
35. 6D-2 One Sample z Test
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6:00
36. 6D-2 One Sample t Test
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8:00
37. 6D-2 One Sample Proportions Test
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17:00
38. 6D-2 Two Sample z Test
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9:00
39. 6D-2 Two Sample t Test - Introduction
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9:00
40. 6D-2 Two Sample t Test - Example with Equal Variance
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10:00
41. 6D-2 Two Sample t Test - Example with Un-equal Variance
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8:00
42. 6D-3 Paired -comparision tests (Paired t Test)
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10:00
43. 6D-3 Two Sample p Test
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5:00
44. 6D-2 Tests for Variance
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11:00
45. 6D-2 F Test for Comparing Variances
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9:00
46. 6D-2 Chi-square Test for Variance
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9:00
47. 6D-5 Analysis of Variance (ANOVA) - Introduction
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11:00
48. 6D-5 ANOVA - Comparing Means Without Any Calculation
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5:00
49. 6D-5 ANOVA Formulas
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15:00
50. 6D-5 ANOVA Manual Calculations Example
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4:00
51. 6D-5 ANOVA Using Microsoft Excel
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3:00
52. 6D-5 ANOVA - Example (Expect something like this in the CQE exam)
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11:00
53. 6D-4 Goodness -of-fit tests
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14:00
54. 6D-6 Contingency Tables
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2:00
55. 6D-6 Contingency Tables (Practice Problem)
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4:00
56. 6E Simple Linear Correlation - Introduction
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7:00
57. 6E Correlation Coefficient Manual Calculation
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3:00
58. 6E Correlation Coefficient - Calculating Using MS Excel
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5:00
59. 6E Correlation - Summary
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4:00
60. 6E Correlation vs Causation
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17:00
61. 6E Correlation - Confidence Interval
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3:00
62. 6E Linear Regression - Coefficient of Determination
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10:00
63. 6E Regression Equation - Manual Calculation
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4:00
64. 6E Residual Analysis
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10:00
65. 6E Time-series Analysis
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5:00
66. 6F-1 Statistical Process Control (SPC) Objectives and Benefits
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5:00
67. 6F-2 Common and Special Causes
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5:00
68. 6F-3 Selection of Variable
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11:00
69. 6F-4 Rational subgrouping
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9:00
70. 6F-5 Selecting Control Charts
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10:00
71. 6F-5 ImR or XmR Charts
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8:00
72. 6F-5 X bar R Charts
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3:00
73. 6F-5 X-bar s Charts
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7:00
74. 6F-5 Attribute Control Charts - Introduction
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6:00
75. 6F-5 nP Charts
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8:00
76. 6F5 P Charts
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5:00
77. 6F-5 C Charts
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4:00
78. 6F-5 U Charts
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18:00
79. 6F-6 Control Chart Analysis - Nelson Rules
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6:00
80. 6F-6 Nelson Rules - Calculating Probabilities
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7:00
81. 6F-7 Pre-control charts
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8:00
82. 6F-8 Short- run SPC - Part 1 - Introduction and Difference Chart
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9:00
83. 6F-8 Short- run SPC - Part 2 - Z-MR Chart
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11:00
84. 6G Process Performance vs. Specifications
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20:00
85. 6G Process Capability Indices - Part 1
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3:00
86. 6G Process Capability Indices - Cr - Part 1A
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7:00
87. 6G Process Capability Indices - Part 2
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8:00
88. 6G Process Performance Indices
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4:00
89. 6G Conducting Process Capability Studies
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3:00
90. 6H Design and Analysis of Experiments (DoE) Introduction
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6:00
91. 6H-1 Terminology - Factors and Response
-
7:00
92. 6H-1 Terminology - An Example of Lauching Branded Coffee
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4:00
93. 6H-1 Terminology - Interaction Chart
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3:00
94. 6H-1 Terminology - Contour Plot
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7:00
95. 6H-1 Terminology - Mathematical Equation
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17:00
96. 6H-2 Planning and organizing experiments
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7:00
97. 6H-3 Introducing Interaction
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9:00
98. 6H-3 DOE Equation with Interaction
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5:00
99. 6H-3 Design of Experiments - Definitions
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9:00
100. 6H-3 Three Factors Experiment
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18:00
101. 6H-3 Half Factorial Design and Resolutions
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6:00
102. 6H-3 DOE Nuisance Factors and Balanced Design
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5:00
103. 6H-4 One-factor Experiments - Introduction
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5:00
104. 6H-4 One-factor Experiments - Completely Randomized Experiments
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3:00
105. 6H-4 One-factor Experiments -Randomized Block Design
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7:00
106. 6H-4 One-factor Experiments - Latin and Graeco Latin Square Design
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5:00
107. 6H-6 Two-level Fractional Factorial Experiments - Introduction
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3:00
108. 6H-6 Two-level Fractional Factorial Experiments - Number of Experiments
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6:00
109. 6H-6 Two-level Fractional Factorial Experiments - Plackett Burman Design
**** Section VII. Risk Management (15 Questions) ****
-
10:00
1. 7A Risk Related Definitions
-
2:00
2. 7A Planning for Risk Management
-
6:00
3. 7A Identifying Risks
-
12:00
4. 7B Risk Assessment
-
4:00
5. 7C Risk Control - Introduction
-
6:00
6. 7C Risk Control - Negative Risks
-
5:00
7. 7C Risk Control - Positive Risks
-
4:00
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)
The Certified Quality Engineer Preparation Program is one of the most respected and rigorous professional development pathways in the field of quality management and engineering. Offered through the American Society for Quality (ASQ), the CQE certification validates a professional's ability to apply principles of product and service quality evaluation and control. For engineers, quality managers, and technical professionals alike, this certification has become a benchmark of excellence that speaks directly to an individual's competence in managing quality systems, processes, and methodologies. The program is designed for those who want to prove their dedication to quality and stand out in a competitive professional landscape.
The demand for certified quality professionals continues to rise as industries worldwide prioritize defect reduction, process optimization, and customer satisfaction. Organizations across manufacturing, healthcare, aerospace, automotive, and technology sectors actively seek professionals who carry the CQE designation. This preparation program is not merely about passing an examination — it is about building a lasting foundation of knowledge that serves throughout an entire engineering career. Professionals who invest in this certification often report improved problem-solving capabilities, broader career opportunities, and greater earning potential.
What the CQE Certification Actually Covers
The CQE body of knowledge is comprehensive and spans a wide range of quality-related disciplines. It includes quality management and leadership, quality systems and auditing, product and process design, product and process control, continuous improvement, quantitative methods, and risk management. Each of these categories requires in-depth study and practical familiarity, as the examination tests both theoretical concepts and real-world application. The scope of the certification ensures that successful candidates are well-rounded professionals capable of functioning at a high level across various quality roles.
Among the most heavily tested areas are statistical methods and quality tools. Professionals are expected to demonstrate proficiency with control charts, measurement system analysis, process capability indices, sampling plans, and hypothesis testing. These quantitative topics require dedicated study, particularly for candidates who do not regularly use statistics in their daily work. The breadth of subject matter is one reason why structured preparation programs exist — to help candidates systematically cover all areas without overlooking any critical component of the exam.
Who Should Pursue This Qualification
The CQE certification is ideally suited for engineers, quality technicians, quality managers, reliability engineers, and manufacturing professionals who have been working in quality-related roles. ASQ typically requires candidates to have at least eight years of experience in one or more of the areas covered by the body of knowledge, with at least three of those years spent in a decision-making position. This experience requirement ensures that candidates bring genuine professional maturity to the certification, making it a meaningful credential rather than just a theoretical achievement.
Professionals transitioning into quality roles from related disciplines such as mechanical engineering, industrial engineering, or operations management also benefit significantly from a structured preparation program. These individuals may have strong technical backgrounds but lack formal training in quality systems, auditing practices, or regulatory standards. The CQE preparation program bridges that knowledge gap effectively, helping career changers present themselves credibly for quality-focused roles. Anyone with ambitions to lead quality departments, become a quality consultant, or move into senior technical roles will find this certification to be a powerful asset.
Building a Strong Study Plan for the Examination
Effective preparation for the CQE examination requires a structured, time-bound study plan. Most candidates spend between three to six months preparing, depending on their prior experience and familiarity with the body of knowledge. The first step is to obtain the official ASQ CQE Body of Knowledge document and use it as the primary roadmap for study. Every major topic and subtopic in the body of knowledge has a corresponding weight on the exam, and understanding those weights helps candidates prioritize their time appropriately.
Breaking the body of knowledge into weekly study blocks is an approach that many successful candidates recommend. Dedicating specific weeks to specific topic areas — such as statistics, auditing, or product design — allows for focused learning rather than scattered review. It is equally important to schedule time for practice questions throughout the study period, not just in the final weeks before the exam. Engaging with practice problems early helps identify weak areas while there is still time to address them thoroughly. Study groups and online forums can also supplement individual study by exposing candidates to diverse perspectives and explanations.
Core Quality Management Principles in the Program
Quality management is the conceptual backbone of the CQE curriculum. This includes understanding how quality is planned, assured, and controlled throughout the product lifecycle. Candidates must be familiar with quality philosophies from pioneers such as W. Edwards Deming, Joseph Juran, Philip Crosby, and Kaoru Ishikawa. Each of these thinkers contributed foundational ideas that continue to shape modern quality practice, and the exam tests knowledge of these contributions in both historical and applied contexts.
Beyond the philosophies, candidates must demonstrate knowledge of quality planning tools such as the Quality Function Deployment (QFD), Failure Mode and Effects Analysis (FMEA), and control plans. These tools are used in real-world engineering environments to translate customer requirements into product specifications and process controls. A thorough grasp of these methods not only prepares candidates for the exam but also enhances their practical effectiveness on the job. Quality management, when practiced well, is what separates organizations that consistently deliver excellent products from those that struggle with variation and defects.
Statistical Methods and Data Analysis Techniques
Statistics form a substantial portion of the CQE examination, and this is often the area where candidates invest the most preparation time. The exam covers descriptive statistics, probability distributions, inferential statistics, regression analysis, and design of experiments. A working knowledge of how to calculate, interpret, and apply these statistical concepts is essential for achieving a passing score. Candidates should not rely solely on memorization but should practice applying formulas to sample problems until the logic becomes intuitive.
Control charts are particularly important within this statistical domain. Candidates must understand variable control charts such as X-bar and R charts, as well as attribute control charts like p-charts and c-charts. Knowing when to use each type, how to interpret signals of special cause variation, and how to respond appropriately to out-of-control conditions are all testable skills. Process capability analysis, including the calculation and interpretation of Cp and Cpk indices, is another area of significant importance. These tools are fundamental to quality engineering practice and appear regularly in professional work as well as on the exam.
Quality Systems and International Standards Knowledge
A solid grasp of quality management systems is another critical component of CQE preparation. Candidates must be familiar with ISO 9001, the most widely adopted quality management system standard in the world. Understanding its structure, requirements, and implementation principles is essential. In addition to ISO 9001, sector-specific standards such as AS9100 for aerospace, IATF 16949 for automotive, and ISO 13485 for medical devices are relevant depending on the industry context of the candidate.
The internal and external auditing process is closely linked to quality systems knowledge. CQE candidates must understand how audits are planned, conducted, and reported, as well as how corrective actions are managed following audit findings. Audit principles such as objectivity, confidentiality, evidence-based reporting, and systematic process are all examined. This section of the body of knowledge is practical in nature — candidates who have participated in audits during their careers will likely find this section more intuitive, while those without direct auditing experience should seek out opportunities for hands-on practice or simulation.
Product and Process Design Aspects Covered
The design phase of product development is where quality is most effectively built in rather than inspected out. The CQE program covers quality tools that are applied during the design process, including FMEA, design reviews, tolerance analysis, and reliability modeling. Design Failure Mode and Effects Analysis (DFMEA) is specifically used to identify potential failure modes in a design before the product is manufactured, allowing engineers to address risks proactively. This preventive approach to quality is a core principle of the CQE philosophy.
Reliability engineering is another significant design-related topic in the CQE body of knowledge. Candidates must understand reliability concepts such as mean time between failures (MTBF), failure rate, reliability functions, and life data analysis. The relationship between reliability and quality is direct — a product that fails prematurely or unpredictably does not meet customer expectations regardless of how well it was manufactured. Reliability tools help engineers design products that perform consistently over their intended life, which is a fundamental quality objective.
Process Control and Inspection Methodologies
Once a product moves into production, maintaining quality requires robust process control mechanisms. The CQE curriculum addresses control chart implementation, process monitoring, and the establishment of control plans that define how processes should be managed on an ongoing basis. Statistical Process Control (SPC) is a key methodology here, allowing quality engineers to distinguish between common cause variation — which is inherent to the process — and special cause variation, which signals that something has changed and requires investigation.
Inspection and testing methodologies also fall under this domain. Candidates must understand acceptance sampling plans, including how to interpret operating characteristic curves and how to select appropriate sampling plans based on risk tolerance and lot quality requirements. MIL-STD-1916 and ANSI/ASQ Z1.4 are standards that govern attribute sampling, while ANSI/ASQ Z1.9 applies to variable sampling. A working knowledge of these standards and their practical applications ensures that quality professionals can design effective inspection strategies that balance thoroughness with efficiency.
Continuous Improvement Frameworks and Methodologies
Continuous improvement is a philosophical commitment at the heart of quality engineering. The CQE program expects candidates to be familiar with major improvement methodologies including Lean, Six Sigma, the Plan-Do-Check-Act (PDCA) cycle, and Kaizen. Each of these frameworks provides a structured approach to identifying waste, reducing variation, and improving process performance. Lean focuses on the elimination of non-value-added activities, while Six Sigma targets defect reduction through data-driven problem solving.
The DMAIC methodology — Define, Measure, Analyze, Improve, Control — is the structured problem-solving process associated with Six Sigma projects. CQE candidates should understand each phase of DMAIC and the tools commonly used within each phase. Tools such as process mapping, fishbone diagrams, Pareto analysis, and hypothesis testing appear across multiple phases and are tested on the exam. A candidate who can apply these tools in combination to solve realistic quality problems is well positioned for success on the examination and in their professional practice.
Risk Management Approaches Within Quality Engineering
Risk management has become an increasingly prominent topic in quality engineering as standards and regulations have evolved to require more explicit risk identification and mitigation. ISO 9001:2015, for example, introduced a risk-based thinking requirement that calls for organizations to identify and address risks throughout their quality management systems. The CQE body of knowledge reflects this shift and expects candidates to understand risk assessment tools and techniques including FMEA, fault tree analysis, and risk matrices.
Candidates must also understand how risk management integrates with other quality activities such as design review, process validation, and supplier qualification. Risk is not a standalone activity but rather a lens that should be applied throughout the entire product and process lifecycle. A quality engineer who approaches their work with a proactive, risk-aware mindset is far more effective at preventing problems than one who waits for defects to occur before taking action. This risk-conscious orientation is something the CQE program actively reinforces through its body of knowledge and examination questions.
Supplier Quality and Procurement Standards
Supplier quality management is a discipline that quality engineers interact with regularly, and it features prominently in the CQE body of knowledge. Managing the quality of incoming materials, components, and services requires a structured approach that includes supplier qualification, performance monitoring, and corrective action management. The CQE exam tests candidates on their ability to develop supplier evaluation criteria, interpret supplier quality data, and manage supplier improvement activities.
Incoming inspection strategies and supplier audits are practical tools that quality engineers use to ensure that purchased inputs meet specified requirements. Understanding how to establish incoming quality control procedures, interpret attribute and variable inspection data, and communicate findings to suppliers are all skills that the CQE curriculum reinforces. Strong supplier quality management reduces the risk of defective materials entering the production process, which in turn reduces the cost of poor quality and protects the organization's reputation with its customers.
Measurement System Analysis and Calibration
Measurement is fundamental to quality — it is impossible to control what cannot be accurately measured. The CQE program places significant emphasis on measurement system analysis (MSA), which is the process of evaluating the quality of measurement data. Gauge repeatability and reproducibility (Gauge R&R) studies are the primary tool used to assess the precision and accuracy of measurement systems. Candidates must understand how to conduct Gauge R&R studies, interpret the results, and take corrective action when measurement systems are found to be inadequate.
Calibration programs are closely related to MSA and are another testable topic in the CQE curriculum. A calibration program ensures that measurement equipment is periodically verified against known standards and adjusted as necessary to maintain accuracy. Traceability to national or international standards such as those maintained by the National Institute of Standards and Technology (NIST) is a key requirement of most quality management systems. Candidates should understand the elements of an effective calibration program, including calibration intervals, out-of-tolerance procedures, and record-keeping requirements.
Test-Taking Strategies for the CQE Examination
Approaching the CQE examination strategically can make a meaningful difference in performance. The exam consists of 175 questions, of which 150 are scored and 25 are unscored pretest questions that appear randomly throughout the exam. Candidates have five hours to complete the examination, which works out to approximately 1.7 minutes per question. Time management is therefore an important consideration, and candidates should practice answering questions within that time constraint during their preparation.
One effective approach is to read each question carefully, eliminate obviously incorrect answer choices, and then select the best remaining option. When a question is unclear or particularly difficult, it is better to make an educated selection and flag it for review rather than spending excessive time on a single item. Returning to flagged questions at the end ensures that all questions receive a response while preventing any single difficult item from consuming disproportionate time. Candidates who have completed many practice exams under timed conditions tend to perform better on the actual exam because they are familiar with the pacing required.
Professional Development Benefits Beyond the Credential
The CQE certification delivers value that extends far beyond the credential itself. The process of preparing for the exam forces professionals to confront gaps in their knowledge and fill them systematically. This self-directed learning builds intellectual confidence and professional competence that shows up immediately in daily work. Many candidates report that they begin applying new tools and concepts during their preparation period, well before they sit for the exam, because the knowledge gained is immediately practical.
Holding the CQE credential also opens doors to professional communities and networks. ASQ membership, which is typically associated with the certification, provides access to local sections, special interest divisions, publications, conferences, and webinars. These resources keep quality professionals current with developments in their field and connected with peers facing similar challenges. In an era when continuous learning is a professional necessity, the community and resources associated with the CQE designation provide ongoing value that compounds over the course of a career.
Recertification and Maintaining CQE Status
The CQE certification is not a one-time achievement but a credential that must be maintained through ongoing professional development. ASQ requires certified individuals to recertify every three years by accumulating recertification units (RUs) through activities such as continuing education, professional experience, professional service, and publishing quality-related work. This recertification requirement ensures that CQE holders remain current with developments in the quality field and continue to grow professionally rather than resting on past achievements.
Understanding the recertification requirements from the outset helps professionals plan their professional development activities with recertification in mind. Attending ASQ conferences, completing online courses, contributing to quality publications, or serving in ASQ leadership positions all generate recertification units. Many professionals find that the recertification process naturally aligns with their ongoing professional activities, making it a manageable requirement rather than a burden. The commitment to maintaining the credential is itself a signal of professional seriousness that employers and clients recognize and respect.
Conclusion
The Certified Quality Engineer Preparation Program represents one of the most meaningful investments a quality professional can make in their career and their craft. The journey from initial study through examination and certification is demanding — it requires discipline, intellectual curiosity, and a genuine commitment to the principles of quality. But the returns on that investment are substantial and lasting. Professionals who earn the CQE credential demonstrate to employers, colleagues, and clients that they possess verified expertise across a broad and rigorous body of knowledge. That verification carries weight in hiring decisions, project assignments, promotion considerations, and professional reputation.
What makes this preparation program particularly valuable is that it does not merely prepare candidates for a single examination — it reshapes the way quality professionals think about their work. The tools, methodologies, and principles covered in the CQE curriculum become lenses through which problems are analyzed, processes are evaluated, and decisions are made. A quality engineer who has internalized statistical thinking, risk awareness, continuous improvement principles, and systematic process management is fundamentally more effective than one operating without that framework. The benefits of that effectiveness extend to every team they lead, every process they manage, and every product they touch.
The CQE certification also contributes to a broader professional identity. Quality engineering, when practiced at the level the CQE demands, is not a support function or a compliance obligation — it is a strategic discipline that directly influences organizational performance, customer satisfaction, and competitive positioning. Professionals who carry the CQE credential are equipped to make that strategic contribution and to communicate its value to organizational leadership. As industries continue to face pressure to deliver higher quality at lower cost in less time, the demand for credentialed quality engineers will only grow stronger. Investing in CQE preparation today is an investment in a career that remains relevant, respected, and rewarding for decades to come. The preparation is challenging, but the transformation it produces — in knowledge, capability, and professional standing — makes every hour of study time worthwhile.
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