Introduction to measurement uncertainty
About the course
Measurement uncertainty (the part of a result after the ±) provides a quantitative measure of the accuracy of a result. An uncertainty estimate provides information on whether data are ‘fit for purpose’ and also supports decisions made on the basis of measurement results. Designed for people with no or limited knowledge of measurement uncertainty, this short course covers the basics of uncertainty evaluation and will help you understand what uncertainty is and why it is important. The course is highly interactive and includes opportunities to practice calculations using Excel.
This course is one of a series of introductory-level courses aimed at raising awareness and providing a basic understanding of key topics related to ensuring the quality of measurement data. The other courses in the series cover statistics and method validation.
What are the benefits?
The course will help you:
• Understand what measurement uncertainty represents and how it should be interpreted
• Identify sources of uncertainty in chemical and biochemical analysis
• Understand the mathematical rules for estimating measurement uncertainty
• Use data from method validation and quality control to evaluate uncertainty.
Course format
This is an online course comprising 2 x 3 hr sessions delivered via MS Teams. The sessions start at 9:30 and 13:30 GMT.
Who should attend?
The course is aimed at scientists involved with quantitative chemical or biochemical analysis who have no prior knowledge of uncertainty estimation and want to raise their awareness of the subject. The course can be used to gain a basic level of knowledge before progressing to more advanced training, if required.
If you have 5 or more colleagues interested in this course, a single-customer course may be more cost effective. Contact us to discuss options.