Estimation of Measurement Uncertainty
Estimation of Measurement Uncertainty, available at $44.99, has an average rating of 3.6, with 10 lectures, 10 quizzes, based on 53 reviews, and has 152 subscribers.
You will learn about How to estimate uncertainty in measurement Type A and Type B factors in uncertainty estimation This course is ideal for individuals who are Test and calibration laboratory personnel It is particularly useful for Test and calibration laboratory personnel.
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Summary
Title: Estimation of Measurement Uncertainty
Price: $44.99
Average Rating: 3.6
Number of Lectures: 10
Number of Quizzes: 10
Number of Published Lectures: 10
Number of Published Quizzes: 10
Number of Curriculum Items: 20
Number of Published Curriculum Objects: 20
Original Price: ₹1,199
Quality Status: approved
Status: Live
What You Will Learn
- How to estimate uncertainty in measurement
- Type A and Type B factors in uncertainty estimation
Who Should Attend
- Test and calibration laboratory personnel
Target Audiences
- Test and calibration laboratory personnel
Laboratory customers expect accurate and reliable results. Any measurement by any laboratory is estimation of correct result. Testa and calibration labs need to ensure lesser uncertainty in measurement by controlling factors affecting measurement. This course will help students to understand importance of measurement uncertainty, identify factors responsible for uncertainty and step by step approach to calculate uncertainty. Customers expect lab results to be accurate and reliable. Results are considered accurate and reliable when those are repeatable / reproducible in different working conditions at different times. estimated uncertainty indicates probable variation in the results. Lesser the variation, better is accuracy and reliability. This course discusses about various factors which can affect measurement results and ways to control same. Test laboratories are supposed to declare uncertainty in case of borderline results whereas calibration laboratories are supposed to declare uncertainty for each calibration result. Higher the uncertainty higher is risk to customer i.e. accepted product/ result may be non-acceptable. Hence it is always a good practice to ask laboratory about systematic result of uncertainty estimation. Uncertainty is always expressed along with confidence intervals. at 95% confidence interval lab is sure that in 95% of cases of repetitive measurements results will not vary beyond declared expanded uncertainty. Expansion factor depends on confidence interval.
Course Curriculum
Chapter 1: Chapter 1 Introduction
Lecture 1: Introduction
Chapter 2: Introduction
Chapter 3: Chapter 2 Basic Statistical Concepts
Lecture 1: Chapter 2 Basic Statistical Concepts
Chapter 4: Chapter 3 Measurement Concepts
Lecture 1: Chapter 3 Measurement Concepts
Chapter 5: Chapter 4 Measurement System
Lecture 1: Chapter 4 Measurement System
Chapter 6: Chapter 5 Step by Step Approach to Uncertainty Estimation
Lecture 1: Chapter 5 Step by Step Approach to Uncertainty Estimation
Chapter 7: Chapter 6 Estimating Type A Uncertainty
Lecture 1: Chapter 6 Estimating Type A Uncertainty
Chapter 8: Chapter 7 Estimating Type B Uncertainty
Lecture 1: Chapter 7 Estimating Type B Uncertainty
Chapter 9: Chapter 8 Uncertainty Apportionment
Lecture 1: Chapter 8 Uncertainty Apportionment
Chapter 10: Chapter 9 Combined and Expanded Uncertainty
Lecture 1: Chapter 9 Combined and Expanded Uncertainty
Chapter 11: Chapter 10 Expanded Uncertainty and Decision Making Rules
Lecture 1: Chapter 10 Expanded Uncertainty and Decision Making Rules
Instructors
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Mahesh Madhukar Limaye
LSS and Management Systems Consultant
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 1 votes
- 3 stars: 9 votes
- 4 stars: 22 votes
- 5 stars: 19 votes
Frequently Asked Questions
How long do I have access to the course materials?
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Can I take my courses with me wherever I go?
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