This section provides training in the computation of measurement uncertainty estimates in accordance with the ISO GUM (Guide to the expression of Uncertainty in Measurement), as per requirements of the ISO/IEC17025 accreditation industry.

Approximate Course Time = 20 hours

On-line Instructor Supported Course with Direct Tutoring:

In this course, every student receives some private tutoring by the instructor as part of the on-line course.

At the completion of the lesson material, the student is requested to attempt up to three (3) uncertainty analyses of their choosing and upload these to the instructor via the upload tool. The private tutoring session is then cooperatively scheduled between the student and the instructor. The submitted measurement uncertainty analyses are reviewed with the student, by the instructor. The analyses are discussed, corrected and/or completed by the student with the instructors guidance. Any questions that the student may have are answered. The on-line meeting uses QIMT's GoToMeeting® account, requiring only that the student has broadband Internet access and a telephone or headset.

On occasion, the on line instructor may request a student having difficulty understanding the material schedule a free on-line tutoring session to clear up any confusion. It is no secret that the subject of measurement uncertainty analysis is a difficult subject for most technicians. We understand this and recognize the need to supplement this course with free tutoring sessions, as needed, to ensure each student can successfully perform measurement uncertainty analyses when they leave this training program.

Course Objectives:

After successful completion of this training course the student will be able to:

  • Understand the basics of statistics as it applies to the ISO GUM Method.
  • Understand the concepts of measurement uncertainty analysis.
  • Be able to perform measurement uncertainty analyses.

This course will takes the student through the basics of the ISO GUM (Guide to the expression of Uncertainty in Measurement) to advanced concepts and methods designed to enable the student to perform measurement uncertainty analyses, from the simple to the complex, with confidence.

Course contains numerous practical techniques for performing uncertainty analyses developed by Quametec for use in meeting the ISO17025:2005 requirements. Many of these techniques are currently in use in National Metrology Institutes and accredited laboratories around the world.

Course includes printable lessons, sample uncertainty analysis procedure, example analyses created with Uncertainty Toolbox™ for exclusive student reference (requires Microsoft® Excel®), plus review of up to (3) three Student analyses! Course developer is the on-line instructor and will be available to answer questions from students via the forum, chat room, email, telephone and on-line meetings.

It is recommended that the student purchase a license for "Uncertainty Toolbox™" (requires Microsoft® Excel®), if the student wishes to use the sample analyses for commercial work, which contain some of Uncertainty Toolbox™ copyrighted templates. To purchase "Uncertainty Toolbox™" call Quametec at 1-810-225-8588 M-F EST (9 am to 4 pm). 

Recommended Course Prerequisites:

  • The student should be familiar with SI Traceability of measurements
  • The student should understand the need for periodic calibration.
  • The student should have experience with using Microsoft Excel or similar spreadsheet type program.

Those purchasing UncertaintyToolbox™ will want to view the demonstration video's, after completing the lessons, but prior to the private analysis review session(s) with the instructor. This will allow you to get direct assistance with both the software and the process of analyzing a measurement process uncertainty of measure.

Course Outline:

Introduction to Measurement Standard Deviations (Type A & B)
Basic Metrology Limitations Combining Uncertainties
Sources of Measurement Errors Expanding Uncertainty
Measurement Quality Management Policies and Procedures (Samples)
Uncertainty Analysis Strategies Analysis Preparation
Uncertainty Analysis Matrix's Performing an Analysis
Statistics Concepts and Math Sample Analyses
Populations & Distributions Managing Uncertainty Estimates