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An Environmental Microbiologist View of Uncertainty of Measurement

4317
Duration : 60 Minutes

Michael Brodsky,

Michael has a post-graduate degree from the University of Toronto, School of Hygiene and Tropical Medicine and been an Environmental Microbiologist for more than 46 years, as a research scientist and Laboratory Director in both the public and private sector. He currently operates as the President Read more


The Webinar will discuss the concept and application of uncertainty of measurement (MU) as required by ISO/IEC Standard 17025:2005 for laboratory accreditation, from a practical microbiological perspective, using unambiguous language with useful examples. Many laboratories are confused about what MU is and what is needed to meet the requirement, including, what data to collect and how to analyze it. A practical step by step approach specifically applicable to microbiology will be discussed.

Course Objectives:

• Learn how to calculate basic quantitative statistics
• Calculating repeatability and reproducibility
• Calculating precision
• The concept of combined uncertainty
• Expanded uncertainty
• Uncertainty in qualitative analyses
• Practical ways for using Uncertainty

Course Outline:

• Basic Statistical concepts in microbial distribution
• Variance
• Standard Deviation
• Repeatability
• Reproducibility
• Precision
• Factors affecting uncertainty
• Combined uncertainty
• Expanded uncertainty
• Measuring precision of a method for calculating MU.
• Making practical use of MU data
• Applying MU concepts to qualitative methods

What You Get:

• Training Materials
• Live Q&A Session with our Expert
• Participation Certificate
• Access to Signup Community (Optional)
• Reward Points

Who Will Benefit:

• Microbiological Bench analysts
• QA managers
• Laboratory managers/supervisors
• QC practitioners
• Food companies who rely on microbiological criteria for estimating risk

Please reach us at 1-888-844-8963 for any further assistance or if you wish to register

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Subject : An Environmental Microbiologist View of Uncertainty of Measurement


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