Understanding Measurement Uncertainty


Note: Students are required to bring their own laptop computer. Software will be supplied at no charge.

I. Basic Concepts
Why do we need uncertainty and what is it?
Importance of uncertainty in measurements
Uncertainty Analysis Concepts
Measurements, error, and uncertainty
Uncertainty components (contributors to error)
Random and systematic errors

II. Basic Statistics Concepts
            Populations and Samples
            Data, means, modes and medians
            Standard deviation and variance
            Distributions
            RSS (Root-sum-squares)
            RMS (Root mean square)
            Confidence levels
            Combination of variances
            Statistical math for uncertainty analysis
            The analysis process
            Type A computations
            Type B computations
            Combining uncertainties
            Sensitivity coefficients
            Degrees of freedom
            Expanded uncertainty

III. Uncertainty Budgets
            Role in accreditation, liability, traceability
            Accepted definitions of uncertainty
            Analyzing and interpreting data
            Uncertainty statements and notes

IV. Reporting Uncertainty
            ISO “Guide to the Expression of Uncertainty in Measurement” (GUM)

V. Uncertainty Workshop
            Software for Creating Uncertainty Budgets (UNCal 3.2)
            Gage R&R Studies
            Evaluation of accuracy ratios for instruments
            Quantifying random uncertainties (examples and problems)
            Quantifying systematic uncertainties (examples and problems)
            Addition of notes
    

 

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