Summary
Certainty is completely different to accuracy, errors, linearity and other measurements associated with good data. It is perfectly possible to have amazingly good and accurate data, and still be uncertain of the result you have.
This seminar will cover some practical situations in measurement, data collection and analysis where even with very accurate measurements, good transducers, accurate analysis models, it is still possible to make the wrong conclusions, or not be able to prove a result is correct. The usual reason is not understanding the actual problem, assumptions or not considering other factors. In other words, “the scientific method”. In fact, the goal is to do as few tests or analyses as possible and get one answer, to provide a faster result. It is too easy to assume that the expensive, accurate, and complex transducers we fit must produce the right answer. The seminar will look at some concrete examples of accurate and repeatable measurements where the certainty of a good result could be very suspect.