Jump to Section

Course Overview

This course will equip participants with the basic knowledge and skills to use the statistical tools for measurement uncertainty estimation. 

Who Should Attend

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 You'll Learn

At the end of this course, you will be able to:

 

  1. List basic statistical tools for measurement uncertainty estimation

  2. Identify various types of errors incurred in chemical analysis

  3. Perform calculations for the propagation of random errors

  4. Relate samples to a population

  5. Explain normal, rectangular and triangular probability distributions of data

  6. Determine the confidence interval in a measurement

  7. Identify outliers from a set of analytical data

 

 

Mode of Assessment

 

Term Tests / Quizzes / Assignments – measure participants’ understanding of key concepts and application of concepts learnt for each topic.

 

 

Level

 

Beginner

 

 

Certification


Participants will receive an electronic Certificate of Completion issued by Temasek Polytechnic upon completion of each MLC.


For more information on course fee / schedule, or to apply,

Testimonials/Reviews 

Find out what our graduates have to say about this course.

Lecturer/Trainer Profile

You May Also Be Interested In

Course Contact

If you have any enquiries, please contact us below or submit an enquiry form here
  • Monday - Thursday: 8:30am - 6:00pm
    Friday: 8:30am - 5:30pm
     
    Closed during lunchtime, 12:00pm - 1:00pm
    and on weekends and public holidays.

  • https://www.tp.edu.sg/tsa
  • Temasek SkillsFuture Academy (TSA)

    Temasek Polytechnic

    East Wing, Block 1A, Level 3, Unit 109

    21 Tampines Avenue 1,

    Singapore 529757

  • Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel course with low enrolment.