This course will review the basic concepts and the accreditation requirements associated with measurement traceability, measurement assurance and measurement uncertainty as well as discuss the interrelationship between the three. A basic process for the effective evaluation of a calibration service supplier or reference material producer will be discussed and, through a practical exercise, participants will apply the process. Metrology terminology and basic statistics, including a discussion on probability density functions and how they are used to quantify an uncertainty component, will be introduced. Additionally, the NIST 8-Step Process for Estimating and Reporting Measurement Uncertainty, which provides a general framework for estimating measurement uncertainty, will be presented. Participants will then put their newly acquired knowledge into practice with practical exercises on identifying uncertainty components, specifying the measurement process and calculating and/or estimating standard uncertainties, combined standard uncertainties and expanded uncertainties. Lastly, the course will conclude with a discussion on the reporting of measurement uncertainty and the importance of having sufficient knowledge regarding the fundamental concepts of measurement traceability, uncertainty and assurance, and statistics for effective testimony regarding measurement uncertainty.
- Understand the concepts of measurement traceability, uncertainty and assurance and their interrelationship
- Know the ISO/IEC 17025/17020 and ANAB accreditation requirements related to uncertainty of measurement
- Demonstrate through practical exercises the application of a basic process for the evaluation of a supplier used to establish measurement traceability
- Learn metrology terminology and definitions
- Acquire knowledge regarding basic statistics including various probability density functions and how these statistics are used to quantify an uncertainty component
- Learn a basic process for estimating measurement uncertainty and through practical application demonstrate this knowledge by estimating an uncertainty of measurement
- Understand the importance of having sufficient knowledge regarding these fundamental concepts of statistics and measurement uncertainty for effective testimony