
Engage with measurement uncertainty for calibration under ISO/IEC 17025 through a step-by-step training program featuring over five hours of video lectures and downloadable Excel files.
Learn about measurement uncertainty and its relation to accuracy, precision, bias, and standard deviation, and explore how expanded uncertainty and confidence level communicate reliability in calibration under ISO/IEC 17025.
Learn basic statistical terms and simple calculations, from mean and deviations to variance and standard deviation, including how to compute these from data in Excel for small samples.
Learn to distinguish and quantify components of measurement uncertainty, including type a repeatability and reproducibility, type b sources, and type e implications for microbiological testing.
Learn how uncertainty components relate to distributions, including normal, rectangular, triangular, and uniform distributions. See how these distributions inform estimation of each contribution in calibration uncertainty under ISO/IEC 17025.
Learn to estimate standard uncertainty from component contributions using normal, rectangular, triangular, and U distributions, and combine repeatability, reproducibility, calibration certificates, and CRM uncertainties for calibrated results.
Learn the step-by-step estimation of measurement uncertainty in calibration, including mathematical models, type A and B components, combining standard uncertainties, and reporting expanded uncertainty per ISO/IEC 17025.
Examine a 10 kg weight calibration example, detailing the uncertainty budget, including drift, eccentricity, magnetic effects, air buoyancy, and substitution scheme (BBA) under ISO/IEC 17025.
Explore estimating measurement uncertainty in calibration through a practical example of calibrating a nominal 10 kΩ resistor, covering temperature effects, drift, parasitic corrections, and uncertainty budgeting under ISO/IEC 17025.
Learn how to calibrate a 100 kN force measuring system under ISO 7500-1, evaluating repeatability, resolution, and reference instrument uncertainty to build a 95% expanded uncertainty budget.
Explore a calibration example of a 200 g analytical balance, detailing uncertainty components: weight of the standard, drift, resolution, eccentricity, buoyancy, and how they combine into expanded uncertainty.
Learn to perform a five-point calibration of a force measuring system, and calculate standard, repeatability, and resolution uncertainties per ISO 7500-1, deriving expanded uncertainty for a calibration certificate.
Learn how calibration laboratories determine calibration and measurement capability (CMC) and expanded uncertainty at 95% confidence, align with accreditation audits, and report best measurement capability under ISO/IEC 17025.
Explore measurement uncertainty in conformity assessment under ISO/IEC 17025, and how the decision rule determines conformity with respect to expanded uncertainty and confidence levels.
Apply measurement uncertainty in laboratory activities by using retest and recalibration under consistent or varied controls, compare averages to expanded uncertainty, and assess limit of quantification for method validation.
Learn to define the mathematical model for calibration uncertainty and estimate, combine, and report standard and expanded uncertainties under ISO/IEC 17025, with cmc and decision rules.
This course is intended for the practicing scientists, engineers and managers working in calibration laboratory or in the field of quality control activities of manufacturing organization, where calibration laboratory is a part.
Participants will be able to estimate the uncertainty of measurement for different groups in the field of calibration.
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.