Basic Statistics in Uncertainty Estimation
Basic Statistics in Uncertainty Estimation
Includes:
Beginner Level
16 Microlearning Sessions
215 min. of Experiential Content
122 Learning Actions
Group Discussions & Sharing
Offline Access
Lifetime Access via Mobile and Web
Digital Certificate shareable on LinkedIn
Session Overview
Before We Begin
Measurement
Measurement Uncertainty (MU)
Requirements for Estimating Uncertainty
Factors in Good MU Estimation
- Importance of Measurement Uncertainty
- Interpretation of Results Using MU
- Fitness for Purpose
- Common Approaches for MU Estimation
- Estimation Process in GUM Approach
- Specification & Identification in GUM Approach
- Cause and Effect Analysis in GUM Approach
- Quantification & Conversion in GUM Approach
- Combination & Reporting in GUM Approach
- Top-down Approach
- Strengths & Weaknesses of Both Approaches
What is this 'Microlearning Course' about?
This course will equip participants with the basic knowledge and skills to use the statistical tools for measurement uncertainty estimation.
Who is this course designed for?
Participants who are working in or interested to work in analytical testing laboratories of various industries such as the chemical, pharmaceutical and food industries, research institutes, R&D companies and other testing sectors.
What will you take away?
At the end of this course, you will be able to:
List basic statistical tools for measurement uncertainty estimation
Identify various types of errors incurred in chemical analysis
Perform calculations for the propagation of random errors
Relate samples to a population
Explain normal, rectangular and triangular probability distributions of data
Determine the confidence interval in a measurement
Identify outliers from a set of analytical data
Instructor’s Profile
Teong Ping Nam is a Senior Lecturer in the School of Applied Science. He has been teaching of subjects related to Statistics, Laboratory Instrumentation, Test Method Validation and Laboratory Accreditation since joining the Polytechnic. Prior to his teaching career, he was in the laboratory testing industries for more than 20 years.
Measurement of Uncertainty Suite Courses
Participants who complete the following suite of MLCs will be eligible to apply for exemption to part-time Specialist Diploma in Laboratory Management & Instrumentation upon succession admission into the programme offered by Temasek Polytechnic, subject to the approval of the polytechnic:
Upon successful admission, they will also be granted partial exemption in the Measurement Uncertainty module.
(Note : Partial exemption can be granted in the form of exemption from theoretical lessons and/or test components.)
Beyond their core business of conducting full-time courses for students, Temasek Polytechnic is also committed to the practical re-skilling and professional development of adult learners. They believe in helping individuals and organisations equip themselves with the necessary skills to meet the challenges of a dynamic economy.
