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Just The Practice Exams!
1 - Collecting & Summarizing Data
1.1 Introduction & Types of Data
1.2 Measurement Scales, Data Collection Methods & Data Accuracy
1.3 Descriptive v. Inferential Statistics along with Central Tendency
1.4 Dispersion, Populations & Samples and Frequency Distributions
1.5 Graphical Methods for Relationships & Section Conclusion
2 - Quantitative Concepts
2.1 Introduction, Terminology & Compound Events (Unions)
2.2 Compound Events (Intersections, Complement), Conditional Probability
2.3 Complex Probability (Independence, Addition, Multiplication) and Conclusion
3 - Probability Distributions
3.1 The Normal Distribution (SUPER IMPORTANT)
3.2 All About Reliability Distributions (Exponential and Weibull)
3.3 The Sampling Distributions (Gettin Ready for Ch 4)
3.4 The Binomial and Poisson Distribution
3.5 The Remaining Distributions
4- Statistical Decision Making
4.1 Introduction, Point Estimates and Key Terms
4.2 Confidence Intervals
4.3 Hypothesis Testing Part 1 (Introduction)
4.4 Hypothesis Testing Part 2 (Process & Means)
4.5 Hypothesis Testing Part 3 - Tests for Variance, Proportions & Populations
4.6 Hypothesis Testing Part 4 - Error, Power, P-Value and Conclusion
4.7 Goodness of Fit Testing and Contingency Tables
4.8 ANOVA Introduction
4.9 Conclusion to ANOVA
5 - Relationship Between Variables
5.1 Introduction, Variables & Coefficients and the Least Squares Method
5.2 Linear Regression
6 - Statistical Process Control
6.1 Introduction to SPC (Objectives, Benefits, Variation, etc)
6.2 SPC - Control Charts for Variable Data
6.3 Control Charts for Discrete Data
6.4 Analyzing Control Charts, Pre-Control, Short Run SPC and Conclusion
7 - Process & Performance Capability
7.1 Introduction to Process Capability
7.2 The Rest of the Cpk Process, and how to Interpret the Results
7.3 Analyzing Cpk Results and Conclusions
8. Design of Experiments (DOE)
8.1 Introduction to DOE
8.2 Planning and Organization a DOE, plus key terms
8.3 More Key Terms, plus OFAT
8.4 Full and Fractional Factorial, plus Conclusion
9. The 7 QC Tools
9.1 Introduction to 7 QC Tools along with Flow Charts, Check Sheets & Pareto Charts
9.2 C&E Matrix + Control Charts
9.3 Scatter Diagrams, Histograms & Conclusion
10. The 7 Management & Planning Tools
10.1 Introduction, Affinity Diagrams and Interrelationship Digraphs
10.2 Tree Daigrams, Matrix Diagrams, Prioritization Matrix
10.3 Process Decision Program Charts (PDPC), Activity Network Diagrams and Conclusion
11 - Continuous Improvement Techniques
11.1 Introduction, Best tools
11.2 TQM, Kaizen
11.3 PDCA
11.4 Six Sigma
11.5 DMAIC, Remainder of Six Sigma
11.6 TOC, Steps
11.7 Conclusion
12 - Lean Tools
12.1 Intoduction, History, 5 Core Principles
12.2 The 8 Forms of Waste
12.3 VSM, KANBAN, Visual Controls, Standard Work
12.4 Takt, SMED, Other Tools/Terms, and Conclusion
Final Lean Quiz
13 - CAPA
13.1 Introduction, Corrective Action
13.2 Preventative Action, Conclusion
14 - Quality Characteristics & Design (Inputs, Outputs & Review)
14.1 Quality Characteristics & Introduction to Design
14.2 Design Inputs, QFD, Robust Design, Design for X
14.3 Design for Six Sigma, and Design Conclusions
15 - Technical Drawings
15.1 Intro to GD&T, Dimensions and Tolerances
15.2 GD&T Symbols, Datums, Title Block and Conclusion
16 - Verification & Validation
16.1 Design Verification and Validation (Design V&V)
16.2 Process Validation (IQ, OQ, PQ)
17 - Reliability & Maintainability
17.1 Introduction to Reliability, Predictive and Preventative Maintenance Tools, PDF & CDF's,
17.2 Reliability and Maintainability Indices (MTBF, MTTR, MTTF), The Bathtub Curve
17.3 How to Make Reliability Predictions using the Normal and Exponential Distribution
17.4 Using The Weibull Distribution to Make Reliability Predictions
17.5 System Reliability Analysis (Parallel and Series) and Conclusion
18 - Control Tools
18.1 Introduction to Control Tools (Control Plans)
18.2 Conclusion to Control Tools (Reaction Plan, Work Instructions)
19 - Material Control
19.1 the whole kit and caboodle of Material Control
20 - Acceptance Sampling
20.1 Introduction to Acceptance Sampling (Sampling Concepts, OC Curves)
20.2 Deep Dive into OC Curves & Sampling Risk
20.3 Key Terms in Acceptance Sampling
20.4 Single, Double and Multiple Sampling Plans
20.5 How to Use ANSI Z1.4 and Switching Rules
20.6 ANSI Z1.9, Dodge-Romig Tables, Sample Integrity & Conclusion to Acceptance Sampling
21 - Measurement & Testing
21.1 Introduction to Measurement & Testing (What to Measure, How to Measure, Etc)
21.2 Attribute Measurement Gauge, Destructve and Non-Destructive Measurement Techniques
21.3 Final Non-Destructive Test Methods (Magnetic Particle Testing, Eddy Current, and Ultrasonc)
22 - Metrology
22.1 Introduction to Metrology, and Accuracy v. Precision
22.2 Calibration and Traceability to NIST
22.3 Measurement Error, Control of Measurement Equipment & Conclusion
23 - Measurement System Analysis (MSA)
23.1 Intro to MSA and Key Terms
23.2 The 2 Methods for Interpreting Gauge R&R Results
23.3 The Range Method
23.4 The Average and Range Method
23.5 The ANOVA Method and Control Charts in MSA
24 - Elements of the Quality System
24.1 ISO and the 4 Elements of the Quality System
25 - Documentation and the Quality System
25.1 The Quality Documentation Hierarchy (Quality Manual, Procedures, Work Instructions & Records)
25.2 Documentation and its relationship to the other Pillars of the Body of Knowledge
26 - Quality Standards (ISO)
26.1 Intro to Quality Standards and the ISO Series
26.2 National, Niche and Industry Standards; then the MBNQA Award
27 - Quality Auditing
27.1 Intro to Quality Audits and the 3 Types of Audits
27.2 Roles & Responsibilites of an Audit; Planning an Audit
27.3 The 4 Steps to the Audit Process
28 - Cost of Quality
28.1 Intro to the Cost of Quality and the 4 Quality Cost Categories
28.2 Breakdown of the 4 Quality Cost Categories and the Taguchi Loss Function
28.3 Implementing a COQ Financial System and the Hidden Factory
29 - Quality Training
29.1 Intro to Training, ADDIE, Effective Training and the Training Needs Analysis
29.2 Spaced Repitition, Active Learning, Training Implementation, Training Effectiveness
29.3 Training Effectiveness continued, Inneffective Training, Conclusion
30 - Quality Philosophies and Foundations
30.1 Quality Philosophies
31 - Quality Management System
31.1 Introduction to the QMS (Mgmt Responsibility)
31.2 Conclusion to the QMS
32 - Code of Ethics
32.1 The Code of Ethics
33 - Leadership
33.1 Intro to Leadership
33.2 All About Teams!
34 - Facilitation
34.1 Facilitation Introduction and Brainstorming
34.2 Facilitation Tools (Multivoting, NGT, Force Field Analysis and Conflict Resolution)
35 - Communication
35.1 Introduction to Communication
35.2 Questions, Feedback and Barriers to Communication
36 - Customer Relations
36.1 Customer Relations
37 - Supplier Management
37.1 Introduction to Supplier Management
37.2 Supplier Monitoring, Improvement & Certification + Supplier Tools
37.3 Supplier Audits, Scorecards and Receiving Inspection
38- Barriers to Quality Improvements
38.1 Barriers to Quality Improvement
Risk Management Questions
All Risk Management Quizzes
Pillar Specific Exams
Management and Leadership
The Quality System
Product and Process Design
Product and Process Control
Continuous Improvement
Statistics
Risk Management
Final Exam!!!!
The Actual Exam Experience!!! (12:00)
Final Practice Exam #1 (1:38)
Solutions for Final Exam #1 (14:33)
Final Practice Exam #2
Solutions for Final Exam #2
Final Practice Exam #3
Solutions for Final Exam #3
Fina Practice Exam #4
Solutions for Final Exam #4
Practice Exams for New Content!
Final Words!
If you liked this, you'll love my other course! (3:55)
6.2 SPC - Control Charts for Variable Data
SPC Cheat Sheet.pdf
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SPC Cheat Sheet.pdf
CQE ACADEMY 6.2 Practice Exam and Solutions.pdf
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CQE ACADEMY 6.2 Practice Exam and Solutions.pdf
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