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This class covers concepts and accreditation requirements associated with measurement traceability, measurement assurance, and measurement uncertainty.
This course provides an introduction to statistical concepts and techniques used for the collection, organization, analysis, and presentation of various types of data. The course touches on both descriptive statistics and inferential statistics, including how to compute measures of central tendency and dispersion, and how to assess the relationship between two variables.
During this course, the requirements of TNI standard EL-V1M2-2016-Rev 2.1, section 5.6 will be reviewed, as well as the components of the traceability chain such as certificates of analysis and laboratory records, will be identified and discussed.
Understand requirements of ISO/IEC 17025:2017, including general, structural, resource, process, and management system requirements. Learn practical concepts, such as impartiality, documents control, ensuring validity of results and risk management. Gain an understanding of an ISO/IEC 17025:2017 laboratory management system.
This Measurement Confidence course introduces the foundational concepts of measurement traceability, measurement assurance, and measurement uncertainty and details ISO/IEC 17025 and ISO/IEC 17020 requirements.
This “hybrid” course combines the core content of two of our most popular curriculums: Measurement Confidence Fundamentals and Measurement Uncertainty Practical Applications, into a robust 2-day course that can only be taught in-person.