An Environmental Microbiologist’s View of Uncertainty of Measurement
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 analyse 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:
Topics covered include:
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
Target Audience:
This webinar will provide valuable assistance to all personnel in:
- Microbiological Bench analysts
- QA managers
- Laboratory managers/supervisors
- QC practitioners
- Food companies who rely on microbiological criteria for estimating risk
What You Get:
- Training Materials
- Live Q&A Session with our Expert
- Participation Certificate
- Access to Signup Community (Optional)
- Reward Points
Please reach us at 1-888-844-8963 for any further assistance or if you wish to register
