Understanding Measurement
Uncertainty Note: Students are required
to bring their own laptop computer. Software will be supplied at no
charge. I. Basic Concepts II. Basic Statistics
Concepts III. Uncertainty Budgets
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
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
Role in accreditation, liability, traceability
Accepted definitions of uncertainty
Analyzing and interpreting data
Uncertainty statements and notes
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