|Abstract Title:||Maximising analytical data by understanding the implications of uncertainty|
|Presenter Name:||Mr Chris Hopley|
|Session Choice:||Principles of Metrology & Data Handling|
Abstract Information :
All analytical data produced has a degree of variability, also known as error and uncertainty. Uncertainty is just the expression of a range or confidence interval in an analytical result, it is often misunderstood and made overly complex, however, it takes many forms and at its most basic level is a useful tool in an analytical scientists armoury. By exploring uncertainty in any analytical method, reproducibility, robustness and overall quality of the data produced will be improved, as identifying and reducing uncertainty will naturally lead to this outcome.
This tutorial will discuss the importance of reviewing data, both qualitative and quantitative, and the associated uncertainty, to be able to maximise the value and quality of analytical data being produced.