Measurement Uncertainty Budgets
This workshop presents a combination of lecture and classroom exercises to demonstrate the principles of measurement uncertainty analysis.
Measurement Uncertainty Budgets
This course covers measurement uncertainty, statistical concepts, and ISO 17025 compliance. Learn to calculate uncertainty, analyze data, and apply the ISO GUM for accurate, reliable measurements.
Course Objectives
- Understand the importance of measurement uncertainty and its impact
- Understand key statistical concepts and terminology
- Ensure compliance with ISO 17025 requirements
- Perform computations and analyze measurement data
- Review and apply the ISO Guide to the Expression of Uncertainty in Measurement (GUM)
Target Audience
- Calibration Technicians
- Quality Managers
- Engineers
- Quality Technicians
- Other users of uncertainty budgets
Agenda
DAY 1
- Basic Terminology
- Why do we need uncertainty and what is it?
- Importance of uncertainty in measurements
- Uncertainty analysis concepts
- Measurements, error and uncertainty
- Uncertainty components (contributors to error)
- Random and systematic errors
- Basic Statistics Concepts
- Populations and Samples
- Data, means, modes and medians
- Standard deviation and variance
- Distributions
- RSS (Root-sum-squares)
- Confidence levels
- Combination of uncertainties
- Statistical math for uncertainty analysis
- The analysis process
- Type A computations
- Type B computations
- Combining uncertainties (Applying RSS)
- Correlated and uncorrelated data
- Sensitivity coefficients (multipliers for weighting)
- Degrees of freedom
- Expanded uncertainty
- Understanding the Uncertainty Budget
- Role in accreditation, liability, traceability
- Accepted definitions of uncertainty, e.g., GUM (others?)
- Analyzing and interpreting data
- Uncertainty statements and notes
DAY 2
- Controlling Measurements and Processes
- Measurement assurance programs
- Check standards
- Control charts
- Error budgets
- Reporting Uncertainty
- ISO Guide to the Expression of Uncertainty in Measurement
- Developing an Uncertainty Budget
- Evaluation of accuracy ratios for instruments
- Quantifying random uncertainties (examples and problems)
- Quantifying systematic uncertainties (examples and problems)
- Addition of notes
Course Delivery
- In-Person Training
- Online Self-Paced
- Training for Teams
Prerequisites
- None
