by Richard Hogan
The evaluation of uncertainty in measurement results is becoming an important requirement for laboratories seeking to attain or retain ISO/IEC 17025 accreditation. When assessors evaluate a laboratory’s uncertainty budgets, they commonly look for the inclusion of type A, or actual test data. Type A data may include, but is not limited to, evaluations of repeatability, reproducibility, and stability testing. However, the most common expression of Type A data found in an uncertainty budget is the results of repeatability testing. Repeatability testing is the most common because it is usually quick and easy to complete, but it is not always performed correctly. In this article, I am going to show you how to perform repeatability experiments and evaluate the data.
