DAY 15 — Combined Standard Uncertainty

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Last updated 8:39 AM on 10/2/26
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61 Terms

1
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What is the main topic of Day 15?
Combined Standard Uncertainty
2
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How is combined standard uncertainty defined?
Combined standard uncertainty u_c is the standard uncertainty obtained by combining the standard uncertainties associated with the input quantities in a measurement model
3
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Which VIM reference is given for combined standard uncertainty?
VIM3 2.31
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What are examples of input quantities that may affect a measurement result?
Reference standard UUT indication repeatability resolution environmental effects corrections and other relevant inputs
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What must happen to each uncertainty component before combination?
Each component is evaluated as a standard uncertainty before combination
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What does the measurement model describe?
The measurement model describes the mathematical relationship between the measurand and the input quantities
7
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What is the general measurement model shown?
Y = f(X₁ X₂ ... Xₙ)
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What is the simple calibration model shown?
Y = X_ref + C
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In the simple calibration model what does Y represent?
The measurement result
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In the simple calibration model what does X_ref represent?
The reference value
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In the simple calibration model what does C represent?
The correction
12
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What does a sensitivity coefficient show?
It shows how much the result changes when an input quantity changes
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What is the sensitivity coefficient formula?
c_i = ∂f/∂X_i
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What question can be used to understand a sensitivity coefficient?
How strongly does this input affect my result?
15
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What reference is given for the sensitivity coefficient?
GUM JCGM 100:2008
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How is the contribution from each input expressed?
u_i(y) = |c_i|u(x_i)
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Does a large input uncertainty always mean a large contribution?
No because the sensitivity coefficient may be small
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What is the combined standard uncertainty formula for uncorrelated inputs?
u_c(y) = √[Σ from i=1 to N c_i²u²(x_i)]
19
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What condition applies to the RSS formula?
The input quantities are independent or uncorrelated
20
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What does RSS mean in the Day 15 infographic?
Root Sum Square
21
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What does the simplified RSS formula become when all sensitivity coefficients are 1?
u_c = √(u₁² + u₂² + ... + u_N²)
22
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What are the four standard uncertainty values in the temperature calibration example?
0.050 °C 0.040 °C 0.030 °C and 0.020 °C
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What is the sensitivity coefficient for the temperature calibration example?
c_i = 1
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What is the combined standard uncertainty for the temperature calibration example?
u_c = 0.0735 °C
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How is the combined standard uncertainty calculated in the example?
u_c = √(0.050² + 0.040² + 0.030² + 0.020²)
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What is the squared contribution of the reference standard?
0.00250
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What is the squared contribution of repeatability?
0.00160
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What is the squared contribution of resolution?
0.00090
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What is the squared contribution of environment?
0.00040
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What is the sum of the squared contributions in the example?
0.0054
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What expanded uncertainty is shown in the Day 15 example?
U = 2u_c = 0.147 °C with k = 2
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What happens when significant correlations exist?
Covariance terms must be considered
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What is the correlated-input uncertainty formula shown?
u_c²(y) = Σ c_i²u²(x_i) + 2ΣΣ c_i c_j u(x_i)u(x_j)r(x_i x_j)
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What does r(x_i x_j) represent?
The correlation coefficient
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What range is shown for the correlation coefficient?
−1 ≤ r ≤ +1
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What does u(x_i x_j) represent?
The covariance of x_i and x_j
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What effect can positive correlation have on u_c?
Positive correlation can increase u_c
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What effect can negative correlation have on u_c?
Negative correlation can reduce u_c
39
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What determines the distribution to choose?
The distribution depends on the information and measurement model not just the value
40
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What does a rectangular distribution represent?
Equal likelihood within ±a
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What is the standard uncertainty formula for a rectangular distribution?
u = a/√3
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What rectangular-distribution example is shown?
±0.10 °C gives u = 0.058 °C
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What does the normal distribution represent?
Standard deviation or a supported coverage interval
44
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What is the standard uncertainty formula for the normal distribution example?
u = U/k
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What normal-distribution example is shown?
U = ±0.20 °C with k = 2 gives u = 0.100 °C
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What coverage probability is shown for the normal example?
95% with k = 1.96
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What does the triangular distribution represent?
The center is more likely than the limits
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What is the standard uncertainty formula for a triangular distribution?
u = a/√6
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What triangular-distribution example is shown?
±0.12 °C gives u = 0.049 °C
50
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Can the same limit produce the same standard uncertainty for different distributions?
No
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What standard uncertainty results from ±0.10 °C with a rectangular distribution?
0.058 °C
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What standard uncertainty results from ±0.10 °C with a normal distribution using k = 2?
0.050 °C
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What standard uncertainty results from ±0.10 °C with a triangular distribution?
0.041 °C
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What warning is given about distribution assumptions?
The distribution assumption changes the standard uncertainty
55
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What does the calibrator's mindset section say not to ask only?
What is the final uncertainty?
56
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What should the calibrator ask about the measurement model?
What measurement model produced it what contributes to it and are any inputs correlated?
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What are the calibration red flags listed?
Just add all the uncertainties RSS always works the largest uncertainty is automatically the final uncertainty all sensitivity coefficients are 1 correlation does not matter u_c and U are the same and the calculator gave a number so the model must be correct
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What references are listed for Day 15?
GUM JCGM 100:2008 GUM Amendment 1:2026 VIM3 JCGM 200:2012 ISO/IEC 17025:2017 Clause 7.6 ILAC P14:09/2020 and the applicable calibration method/procedure
59
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What technical challenge is given on Day 15?
A calibration includes u₁ = 0.05 u₂ = 0.04 u₃ = 0.03 and u₄ = 0.02 °C and asks for the combined standard uncertainty assuming c_i = 1 and no correlation
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What witty challenge is given on Day 15?
If someone says Just RSS everything what should you check before pressing the calculator button?
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What is the overall learning theme of Day 15?
Individual standard uncertainty components become one combined standard uncertainty through the measurement model