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Measurement Uncertainty in TESTING - ISO/IEC 17025
Complete guide for Estimation of Measurement Uncertainty in Testing Laboratory except for Microbiological Testing.
This Course Includes
udemy
4.4 (24 reviews )
8h 21m 
english
Online - Self Paced
professional certificate
Udemy
About Measurement Uncertainty in TESTING - ISO/IEC 17025
This course gives step by step understanding of the basic statistical processes and working methodology for Estimation of Measurement Uncertainty in Testing Laboratory of various fields except Microbiological Testing. This course is intended for the practicing
scientists
,
engineers
and
managers
working in
testing
and
calibration
laboratory or in the field of quality control activities of manufacturing organization, where
testing laboratory
is a part. Participants will be able to
estimate the uncertainty of measurement
in their respective fields of testing , except microbiological testing, for which a separate course is there, since the methodology is significantly different. Persons who are
not clearly familiar
with the
basic statistical concepts
of estimation of measurement uncertainty will get
clear understanding
about this, through this training. Those who are
already familiar
with ISO/IEC 17025 laboratory accreditation system and
has done the uncertainty estimations for measurements
for their applications will definitely improve their understanding on the practical aspects of their activities for continual improvement.
What You Will Learn?
- Clear understanding of Basic Statistical Concepts. .
- Understanding a testing activity in terms of mathematical model, to be able to identify the significant control factors for accuracy or validity of results. .
- Will be able to estimate measurement uncertainty for all tests of the laboratory effectively, except microbiological testing (for which a different program is there). .
- Will be able to formulate effective Quality Control Plan for the laboratory utilizing the uncertainty of measurements and also can identify the scope of improvement in quality of result. .
- Will be able to apply “decision rule” utilizing the uncertainty of measurements, when it is required. Show moreShow less.