The concept of uncertainty as a quantifiable attribute is relatively new in the history of measurement, although error and error analysis have long been a part of the practice of measurement science or metrology.
It is now widely recognized that, when all of the known or suspected components of error have been evaluated and the appropriate corrections have been applied, there still remains an uncertainty about the correctness of the stated result, that is, a doubt about how well the result of the measurement represents the value of the quantity being measured.
This training was designed for participants that want to understand the Uncertainty in Measurement and how could it be evaluated.
Establishes general rules for evaluating and expressing uncertainty in measurement.
Understanding various levels of accuracy and in many fields.
Expression of uncertainty in the measurement of a well-defined physical quantity.
Provides general rules for evaluating and expressing uncertainty in measurement rather than detailed, technology-specific instructions.
Day 1
Introduction
Definitions
General metrological terms
The term “uncertainty”
Terms specific to this Guide
Day 2
Basic concepts
Measurement
Errors, effects, and corrections
Uncertainty
Practical considerations
Day 3
Evaluating standard uncertainty
Modelling the measurement
Type A evaluation of standard uncertainty
Type B evaluation of standard uncertainty
Graphical illustration of evaluating standard uncertainty
Day 4
Determining combined standard uncertainty
Uncorrelated input quantities
Correlated input quantities
Determining expanded uncertainty
Introduction
Expanded uncertainty
Choosing a coverage factor
Day 5
Reporting uncertainty
General guidance
Specific guidance
Measurement of activity