
Training Measurement Decision Risk Analysis Course Outline
Measurement Decision Risk Analysis Course Outline

Course Objectives 
This course provides a conceptual background in measurement decision risk analysis and handson training in the use of AccuracyRatio software. After completion of the course, students will know how to:

Day One 
Part 1  Measurement Decision Risk Concepts Part 1 covers basic concepts of probability and statistics required for an understanding of measurement decision risk. The concepts also serve as a foundation for measurement uncertainty analysis and calibration interval analysis.

What is Measurement Decision Risk? Why Compute Risks? 
Factors Affecting Risk Uncertainty and Risk Analysis Facts and Fallacies 
Part 2  Uncertainty Analysis Review Because measurement decision risk analysis involves estimating the uncertainties of measurement, some discussion of this topic is required. Accordingly, Part 2 consists of a brief review of the uncertainty analysis methods and techniques that are covered in our fourday Uncertainty/SPC course.

Uncertainty Analysis and Risk Management Preliminaries Error Distributions Error Sources Error and Uncertainty Combining Uncertainties Estimating Uncertainty 
Type A Uncertainty Estimates Type B Uncertainty Estimates Type B Formats The General Uncertainty Analysis Process Expanded Uncertainty Reporting Uncertainty Using Uncertainty Estimates 
Day Two 
Part 3  Probability Relations Computing measurement decision risk requires the use of probability functions. A knowledge of what these functions represent is necessary for understanding differences between types of decision risk and for distinguishing between risks computed at the program management level and risks associated with specific measurement results. 
Preliminaries
Definition of Probability Parameter Tolerancing Matching Attributes Risk Analysis False Accept Risk
Risk Variables 
False Reject Risk Risks with Guardbands Bayesian Analysis
Risk Analysis for a Measured Variable 
Part 4  Computing Risk Part 4 of the course involves computing false accept and false reject risks from the standpoint of determining risk requirements and assessing risk levels for test or calibration program management and for decision making in response to specific measurement results. Also considered are equipment renewal strategies (adjust or not adjust) and the development of test guardbands. 
Equivalent Accuracy Ratios Relevant Quantities 
Including Process Uncertainties Estimating Risk 
Day Three 
Part 5  Compensating Measures On occasion, computed risks are not suitable for a given application. In these cases, compensation may be possible. Various metrics associated with testing or calibration can be adjusted to ameliorate risks to match requirements. These metrics are discussed in Part 5. 
Controlling InTolerance Rates Controlling Process Uncertainties Pareto Analysis
Multiple
Independent Measures 
Using Guardbands
Test Guardbands 
Part 6  Optimizing Risks False accept risk and false reject risk each cost money. Part 6 examines two approaches to modeling these costs and adjusting them to achieve the minimum total cost. 
The Test and Calibration Support Hierarchy

Management Variables
A
Simple Approach 

Part 7  Example Problems In Part 7, risk analysis problems related to the student's workplace are analyzed. 
What to Bring 
PC Notebook
Study Materials
Analysis Problems 
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Page Updated July 26, 2017