Topic outline

• Evaluating measurement uncertainty for chemical testing laboratories
  

  Evaluating measurement uncertainty for chemical testing laboratories

  Learn the principles and practice of estimating measurement uncertainty. This two-day course is delivered as an open course in Teddington and in-house for groups of 6 or more.
  

  
  

  	TEC-018  UK  Classroom  Role: Laboratory Technician, Supervisor, Manager/Senior Manager, Technician  Technical  Sector: Medical Biotechnology, Medical Devices, Chemicals, Pharmaceuticals
  This Course is Aimed at
  Technicians, analytical scientists (chemical or bio-analysis), laboratory managers/supervisors, quality managers.
  Overview
  Whenever a measurement is made there will be some uncertainty about the result. Knowledge of the uncertainty allows a judgement to be made on whether the data are likely to be fit for purpose. If comparisons of results are being made, a meaningful interpretation can only be achieved if the uncertainty is known. This course provides a practical approach to evaluating uncertainty in testing laboratories.
  Programme Content and Key Areas
  The course will cover: Day 1 – The principles Introduction to the concept of measurement uncertainty Statistics for measurement uncertainty estimation The basic principles of evaluating uncertainty Converting data and combining uncertainties Quantifying uncertainty components Evaluation of an uncertainty budget using spreadsheets How to handle precision. Day 2 – The practice Using data from validation studies Cause and effect analysis Dealing with data from recovery estimations Using precision data from validation studies Handling uncertainty for large concentration ranges Using and conveying uncertainty estimates.
  Learning Outcomes
  This course will help participants: Understand how uncertainty can be evaluated for chemical test results Use method validation and quality control data in uncertainty estimates Give your customers confidence in your results Determine the fitness for purpose of your results Demonstrate compliance with regulatory limits and contract specifications Make valid comparisons between results obtained at different times and places Meet ISO/IEC 17025 accreditation requirements Apply statistical principles through laptop-based workshops. To book now contact us.
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