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 )UNCal3.2
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