Simplifying Measurement Uncertainties · •It is presumed that ISO 17025 accredited labs...
Transcript of Simplifying Measurement Uncertainties · •It is presumed that ISO 17025 accredited labs...
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Simplifying Measurement Uncertainties
Bill Hirt, Ph.D / February 2016
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Start the Process
• Light the fuse (candle)
• Shed light on the way
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Back to the beginning
• Accredited CALIBRATION labs report measurements on tools and devices needing regular service … typically including uncertainties for those measurements.
• Accredited TESTING labs, when requested or when needed to interpret Statements of Compliance, report uncertainties alongside their test measurements.
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Framework for uncertainties
• Unless calculating MDL’s or LOD’s or LOQ’s …
• It is presumed that ISO 17025 accredited labs demonstrate the competence to calculate and report GUM uncertainties … estimated at roughly a 95 % confidence.
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When do accredited labsreport MU’s ?
• Every accredited calibration certificate, unless requested otherwise
• Test reports :
• When a customer requests it
• When the uncertainty affects compliance with a specification limit
• When it is relevant to the validity or application of the result
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What do we mean by MU?
• Measurement value ± uncertainty (MU)
• MU usually at 95 % confidence – Why?
• MU usually reported at k = 2
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Where do we find most MUs?
• On calibration certificates
• On test reports
• In footnotes
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Did you know that …
• A high percentage of ISO 17025 accredited calibration laboratories issue incorrect uncertainties on their certificates ?
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ISO 17025 includes –Calibration and Testing
• A good percentage of calibration labs do not report MU’s on their certificates
• Most testing labs do not report MU’s on their test reports
• And WHY ???
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First Group Discussion
• Scenario used in 3-day MU course outlined first
• Have groups discuss other real-life scenarios where uncertainty can be critical or life-saving
• Put examples on index cards on the tables
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Uncertainty and Traceability• Metrological traceability (not sample
traceability)
• Two platforms of confidence
• Comparison with hi-quality stds thru chain to SI through an NMI or DI
• Confidence that GUM unc’s used … and actual measurement error clearly known
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Uncertainty and Proficiency Testing (PT)
• Calibration PT programs typically request that one or more devices have measurements taken … and Both the measurements and their uncertainties be reported.
• The Cal PT study issues a report with standardized results including an En
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En value Determination (Calibration Labs)
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Interpretation of En values
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Accredited Testing Labsand PT
• Very few ISO 17025 accredited PT programs for testing include a requirement for MU’s
• Some now request them
• Many in the future will require them
• In addition to z-scores, many future reports will include En values too
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“The Big Three” in 17025
• Measurement Uncertainty
• Metrological Traceability
• Proficiency Testing
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Uncertainty and Statements of Compliance• High percentage of measurements are made
to ensure manufactured or natural materials meet a narrow range of specifications
• Manufacturers and regulators define specs
• No measurement is perfect
• MU may or may not be critical to have CONFIDENCE that specs are being met
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Group discussion - 2
• At your tables, discuss specific areas of compliance specs that you are aware of
• Make a list of at least 6 different groups or types of specs at your table to report later
• The group will share after your discussion
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Uncertainty and Guard Banding
• Management of manufacturing or other monitoring to assure material is safely within specifications, including consideration of uncertainty
• Organization may adjust their spec to capture either more potentially defective samples or allow more acceptable product out the door
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Definitions • Uncertainty – a property of a measurement result
that defines the range of probable values of the measurand
• Uncertainty budget – the systematic description of uncertainty determinations relevant to specific measurements including ranges plus all factors, assumptions and calculations included (must include both type A and type B factors)
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Basic Steps in Uncertainty Budgets
1. List ALL potential factors affecting variability in measurements - make table
2. Determine the standard uncertainty for each factor (includes distribution)
3. Perform RSS for all factors to create the combined (standard) uncertainty
4. Multiply by distribution factor (k=2 … or ?)
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Root Sum Squaring
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Sample Standard Deviation(s)
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Calibration MU example
Budget for 6 inch CALIPERS
i Component of UncertaintyUncertainty,
U(xi) Distribution Divisor Std Unc, u(xi)
1 Standard uncertainty 6 Normal, 2s 2.00 3 uin2 Resolution 500 Rectangular 1.73 289 uin3 Repeatability 297.98 Normal, 1s 1.00 298 uin4 Uncompensated error 25 Rectangular 1.73 14.4 uin5 Temperature difference between
instrument and gage blocks20.1 U-Shaped 1.41 14.2 uin
6 Temperature variance from 68º F 16.08 U-Shaped 1.41 11.4 uin7
combined standard uncertainty, uc 416 uincoverage factor, k 2
expanded uncertainty, Uc 832 uinExpanded uncertainty rounded UP to 2 significant figures 840 uin
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Second Cal MU example
Uncertainty Budget for Bench Scale - 150 lb capacity
i Component of UncertaintyUncertainty,
U(xi) Distribution Divisor Std Unc, u(xi)
1 Standard uncertainty 0.000106 Normal, 2s 2.00 0.000 lb2 Resolution 0.05 Rectangular 1.73 0.029 lb3 Uncompensated error (Three 50 #
weights)0.0105 Rectangular 1.73 0.006 lb
4 Repeatability 0.0217 Normal, 1s 1.00 0.02 lb
combined standard uncertainty, uc 0.0366 lb
coverage factor, k 2
expanded uncertainty, Uc 0.0732 lb
Expanded uncertainty rounded UP to 2 significant figures 0.074 lb
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Testing MU
• Very often much more complicated than calibration -- why ??
• Many stages in test processes
• Many error types with different units of measure
• Many errors not defined and require guess
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Table A6.2: Summary of results from collaborative trial of the method and in-house repeatability check
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Table A6.4: Combined standard uncertainties
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Key current and future factor
• SAMPLING and sample error factors
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Nitrogen in Forage Budget
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Nitrogen in Dry Feed Budget
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New proposed TABLE
• Handout shows old / traditional version of the Student’s T Table
• Back side shows our proposed new version
• Let’s review its features
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Open quiz for the room
• Using the new Student’s T table, what is the k-factor … for an MU … at 95% confidence … when the number of repeatability measurements is :
• 3 ?
• 5 ?
• 10 ?
• 30 ?
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Open quiz for the room - 2
• … and the test measurement mean is 100 mg and the combined uncertainty is 5 mg, what is each 95% MU :
• With 3 repeats
• With 5 repeats
• With 10 repeats
• With 30 repeats
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• For an MU … at 95% confidence … when the number of repeatability measurements is :
• 3
• 5
• 10
• 30
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Open quiz for the room - 3
# of RepeatMeasurements
k-factorMultiplier
Uexp (95%)To report
3
5
10
30
( test measurement mean is 100 mg and the combined uncertainty is 5 mg )
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Open quiz for the room – 3+
# of RepeatMeasurements
k-factorMultiplier
Uexp (95%)To report
3 4.3 21.5
5 2.78 13.9
10 2.26 11.3
30 2.0 10
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Example of questionable MU on
commercial calibration certificate
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Standard Deviation of the Mean
• The equation on the left for repeatability / SD becomes
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• Caution – it does NOT replace repeatability SD
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Control Charts
• Plots of long-term measurements of a single parameter to note trends or variability
• Often the main basis for testing uncertainties
• Main testing lab equivalent of repeatability and/or reproducibility
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AAFCO example of Control Chart of Matrix Spike
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Basic Steps in Uncertainty Budgets
1. List ALL potential factors affecting variability in measurements - make table
2. Determine the standard uncertainty for each factor (includes distribution)
3. Perform RSS for all factors to create the combined (standard) uncertainty
4. Multiply by distribution factor (k=2 … or ?)
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Group discussion - 3
• We want to simplify the process for MU determination
• We want the fundamentals of uncertainties to be understood
• We know that may tests may be confusing even as to whether an MU is needed
• Discuss at your tables and list confusing examples … for our larger discussion
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Fundamental MU Nuggets
• Key definitions to be able to distinguish:
• Type A and Type B factors
• Repeatability vs reproducibility
• Combined uncertainty vs expanded uncertainty (crucial k-factor to use)
• In unc budgets, any factor contributing less than 10% to the total can be eliminated
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Fundamental MU Nuggets - 2• Use at least 7 data points for any standard
deviation
• Try to use at least 30 data points (equivalent to infinite number) in Type A factors
• Metrological traceability and the traceability chain needs GUM uncertainties
• Calibration PT studies involve uncertainties and testing PT studies may do so soon (Enand z-scores)
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Key Nuggets - 3• Repeatability/reproducibility studies may not
adequately cover the range of test tolerances. You may need a high and low range repeatability study.
• Be careful not to replace repeatability standard deviation factor with standard error of the mean in a MU budget. Add not replace.
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Key Nuggets - 4• Control charts can often capture full testing
errors, but use caution to be sure ALL significant errors are included
• Repeatability studies or reproducibility studies can often represent the basis for MU determinations
• For any test, consider all potential errors but budgets and calculations may NOT be needed
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When may MU budgets and calculations not be needed?• If alternative statistics used, eg MDLs, LODs
• If tests qualitative
• If test protocols already define testing variability, precision, repeatability
• This includes 95% confidence determinations for microbial MPN studies
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Remember …
• No measurement is perfect
• Measurement errors historically combined as Uncertainties … BUT ….
• Uncertainties trigger too often – confusion
• 95% confidence is the basis for uncertainties
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Final Mantra …
• (not) UNCERTAINTY …
• (but) … CONFIDENCE RANGE !!
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Thank you
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