Transcription of Statistics and Data Analysis in Proficiency Testing
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Statistics and Data Analysis in Proficiency Testing
Statistics and data AnalysisinProficiency TestingMichael ThompsonSchool of Biological and Chemical SciencesBirkbeck College (University of London)Malet StreetLondon WC1E of a Proficiency test Harmonised Protocol .Pure Appl ,78, do we use Statistics inproficiency Testing ? Finding a consensus and its uncertainty touse as an assigned value Assessing participants results Assessing the efficacy of the PT scheme Testing for sufficient homogeneity andstability of the distributed test material OthersCriteria for an ideal scoringmethod Adds value to raw results. Easily understandable, based on theproperties of the normal distribution. Has no arbitrary scaling transformation. Is transferable between differentconcentrations, analytes, matrices, andmeasurement can we construct a score? An obvious idea is to utilise the propertiesof the normal distribution to interpret theresults of a Proficiency do not makeany assumptionsabout the dataset A Determination of protein nitrogen in a weak scoring method On average, slightly more than 95% of laboratoriesreceive z-score within the range 2.
Statistics and Data Analysis in Proficiency Testing Michael Thompson School of Biological and Chemical Sciences Birkbeck College (University of London)
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