The questions and concerns raised by Professor Jan Tytgat to the address of Dr. De Kock. (+Premium-NewsPaper)Posted on 24/01/2017, Author: Pitts
In addition, we still have some concerns and questions :
The result of Sample A is 2.5 ppb, of sample B it is 4.4 ppb; mutually we notice a difference of 57%, which is very strong in analytics when it comes to the same steel. How can Dr. de Kock explain this variability?
Each analytical measurement is associated with a measurement uncertainty; two important parameters play a role:
1) The "uncertainty of measurement" or "precision", which can be translated as an estimate of the limits of experimental error, and
2) the "accuracy of the measurement," or "bias" or also "accuracy", which can be translated into the difference between the average of the experimental measurements, and the actual average (the "truth"). One must, of course, perform the best possible analysis, which is expressed in "the coefficient of variance (CV)". This parameter, "CV", is the measurement precision with which a person performs a set of tests ("replicates") for one particular parameter (eg. Flufenamic in pigeon droppings). In other words the higher the precision, the higher the probability that there is no difference between the result of sample A and sample B.
In other wordsn any good analysis must include an estimate of the precision and bias of the methodology. Can Dr. de Kock explain this for Sample A and B?
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