Measurement Uncertainty in Calibration Explained: Type A, Type B and Combined Uncertainty

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Instrumentation · Calibration · Measurement Uncertainty

Measurement Uncertainty in Calibration Explained: Type A, Type B and Combined Uncertainty with a Worked Pressure Gauge Example

A complete plain-English guide to measurement uncertainty in instrumentation calibration: what it is, the difference between Type A and Type B uncertainty, every component from repeatability to hysteresis, the combined uncertainty formula, expanded uncertainty with the coverage factor k, and a full worked example using a pressure gauge calibration.

Type A and Type B Explained All Components Covered Full Worked Example Combined and Expanded Uncertainty

When a calibration certificate states that a pressure gauge reads 4.005 bar when it was set to 4 bar, that single number is incomplete without one more piece of information: how uncertain is that 4.005 bar reading? Could the true value be 4.002 bar? Could it be 4.010 bar? Without knowing the uncertainty, you cannot know whether the deviation is real or just noise in the measurement system.

Measurement uncertainty is the quantification of the doubt that surrounds every measurement. It does not mean the measurement is wrong. It means we are honest about how precisely we know the true value. Every measurement has uncertainty. A calibration certificate without an uncertainty statement is incomplete, and in ISO/IEC 17025 accredited laboratories, reporting measurement uncertainty is a mandatory requirement.

This guide explains measurement uncertainty in practical instrumentation calibration terms from first principles, without unnecessary mathematical complexity. We use a full pressure gauge calibration example to show every calculation step, from reading the raw calibration data all the way to reporting the expanded uncertainty on a calibration certificate. For background on pressure calibration procedure and the as-found/as-left data format, see our article on how to calibrate a temperature transmitter step by step.

What this guide covers
What measurement uncertainty is and why it matters  ·  Type A vs Type B uncertainty explained simply  ·  All five uncertainty components: Ua (repeatability), Ub1 (standard certificate), Ub2 (accuracy), Ub3 (resolution), Ub4 (hysteresis), Ub5 (zero error)  ·  Normal vs rectangular distribution  ·  The combined uncertainty formula (root sum of squares)  ·  The coverage factor k and expanded uncertainty  ·  Full worked example: pressure gauge 0-10 bar  ·  How uncertainty appears on a calibration certificate.
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What Is Measurement Uncertainty?

Measurement uncertainty is a parameter that characterises the dispersion of values that could reasonably be attributed to the measurand (the quantity being measured). In simpler terms: it is a range around a measurement result that tells you how confident you are about the true value.

Consider weighing yourself on a bathroom scale and reading 72 kg. If you step off and back on three more times and get 71.8, 72.2 and 72.0 kg, you know the scale does not always give the same answer. The uncertainty of that scale is something like ±0.2 kg. You are confident the true weight is between 71.8 and 72.2 kg, but you cannot say exactly where in that range it falls.

The same principle applies to every pressure gauge, temperature transmitter and flow meter you calibrate. The reference standard you use is not perfect. The readings you take have some scatter. The resolution of the instruments limits how finely you can read them. Measurement uncertainty accounts for all of these contributions simultaneously.

Why measurement uncertainty is required
The international standard ISO/IEC 17025 requires all calibration laboratories to report measurement uncertainty on every calibration certificate. Without an uncertainty statement, a calibration result is technically incomplete. The reported expanded uncertainty tells the user of the instrument whether the instrument being calibrated is fit for purpose, given how accurately the calibration itself was performed.
Figure 1: What Measurement Uncertainty Means in Practice
Expanded Uncertainty (U = k × uc) Measured result 4.005 bar 3.995 bar (result - U) 4.015 bar (result + U) The true value lies somewhere within this range with approximately 95% confidence (k=2)

Figure 1: The expanded uncertainty defines a range around the measured result within which the true value is expected to lie with a defined level of confidence. The measured result is our best estimate. The uncertainty band tells us how far away from that estimate the true value could realistically be.

Type A and Type B Uncertainty: The Fundamental Division

The GUM (Guide to the Expression of Uncertainty in Measurement) published by BIPM divides uncertainty into two types based on how they are evaluated.

Type A Uncertainty

Definition: Evaluated by statistical analysis of a series of repeated observations.

Based on: Actual calibration readings taken during the calibration exercise.

Examples in pressure calibration:

  • Repeatability: The scatter in repeated readings taken at the same calibration point in the same direction (all upscale or all downscale)
  • Reproducibility: The scatter when the same calibration point is measured at different times, by different technicians or with different equipment setups

The Type A standard uncertainty is calculated using standard deviation of the repeated readings.

Type B Uncertainty

Definition: Evaluated by means other than statistical analysis. Based on prior knowledge, specifications, calibration certificates and physical reasoning.

Based on: Information outside the current calibration readings.

Examples in pressure calibration:

  • Standard equipment uncertainty: Taken from the calibration certificate of the reference standard
  • Accuracy of standard: From the manufacturer's specification or the standard's calibration certificate
  • Resolution: The smallest division on the instrument being read
  • Hysteresis: The difference between upscale and downscale readings at the same calibration point
  • Zero error: Any offset at the zero point between up and down cycles
Important: Type B is not less reliable than Type A
A common misconception is that Type A (statistical) uncertainty is more rigorous than Type B. This is wrong. Type B uncertainty from a well-characterised reference standard with a traceable calibration certificate can be far more reliable than a Type A evaluation based on only 2 repeat readings. The GUM treats both types as equally valid. The distinction is only about the method of evaluation, not about confidence or rigour.
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The Worked Example: 0-10 Bar Pressure Gauge Calibration

We will work through a complete measurement uncertainty calculation using a 5-point pressure gauge calibration with one up cycle and one down cycle. This is the standard format for most process plant pressure gauge calibrations.

Instruments used

ItemUnit Under Calibration (UUC)Reference Standard (Master)
Instrument typePressure gauge (Bourdon tube)Digital reference pressure gauge
Range0 to 10 bar0 to 40 bar
Resolution0.1 bar0.001 bar
AccuracyNot yet known (to be verified)0.1% of reading
Uncertainty (from certificate)N/A0.01 bar at k = 2

In this calibration, the UUC is set to the calibration point (the technician adjusts pressure to match the gauge reading), and the reference standard reading is observed and recorded. This means we read the changing standard and must consider the resolution of the standard in the uncertainty budget.

Raw calibration data

Cal Point (bar)UUC Reading (bar)Standard UP (bar)Standard DOWN (bar)Average (bar)
00.00.0000.0000.000
22.02.0032.0052.004
44.04.0064.0044.005
88.08.0058.0068.006
1010.010.00810.00710.008

Calculating Type A Uncertainty (Ua): Repeatability

With only one up reading and one down reading at each calibration point, we have n = 2 observations per point. The Type A standard uncertainty is the standard deviation of the readings divided by the square root of the number of readings.

Type A standard uncertainty formula: Ua = S / sqrt(n)Where: S = Standard deviation of the n readings at that calibration point n = Number of readings (2 in our example: 1 up + 1 down) sqrt = square root

For the 2-bar calibration point: readings are 2.003 (up) and 2.005 (down).

Standard deviation at 2 bar: Mean = (2.003 + 2.005) / 2 = 2.004 Variance = [(2.003-2.004)² + (2.005-2.004)²] / (2-1) = [(−0.001)² + (0.001)²] / 1 = [0.000001 + 0.000001] / 1 = 0.000002 S = sqrt(0.000002) = 0.001414 bar Ua = 0.001414 / sqrt(2) = 0.001 bar
Cal Point (bar)UP reading (bar)DOWN reading (bar)Mean (bar)S (Std Dev) (bar)Ua = S/√n (bar)
00.0000.0000.0000.0000000.000000
22.0032.0052.0040.0014140.001000
44.0064.0044.0050.0014140.001000
88.0058.0068.0060.0007070.000500
1010.00810.00710.0080.0007070.000500
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Calculating Type B Uncertainty Components

Type B uncertainty components come from external information rather than the calibration readings themselves. For pressure gauge calibration, we consider four Type B components: Ub1 (standard certificate), Ub2 (accuracy of standard), Ub3 (resolution), and Ub4 (hysteresis). Ub5 (zero error) is also included for completeness.

Normal vs rectangular distribution: why we divide by sqrt(3)

Normal distribution (Gaussian): Values cluster around the mean with the familiar bell curve shape. The uncertainty value from a calibration certificate is typically given at k=2 for 95% confidence, so we divide by k (usually 2) to get the standard uncertainty.

Rectangular distribution (uniform): Any value within the range is equally likely. No value is more probable than another. This applies to resolution and hysteresis where the error could be anywhere within the specified limits equally. For a rectangular distribution, the standard uncertainty is the half-width divided by sqrt(3), i.e. the limit / sqrt(3).

Ub1: Uncertainty from the Standard's Calibration Certificate

The reference standard's calibration certificate states an uncertainty of 0.01 bar at k=2. The standard uncertainty (at k=1) is:

Ub1 formula: Ub1 = Certificate uncertainty / k = 0.01 bar / 2 Ub1 = 0.005 bar (constant across all calibration points)
Cal Point (bar)Certificate uncertainty (bar)k factorUb1 (bar)
00.01020.00500
20.01020.00500
40.01020.00500
80.01020.00500
100.01020.00500

Ub2: Uncertainty from the Accuracy of the Standard

The standard's accuracy is stated as 0.1% of reading. Since this is a percentage of reading, the absolute value changes at each calibration point. A rectangular distribution is assumed, so we divide by sqrt(3).

Ub2 formula: Ub2 = (Accuracy% × Reading) / sqrt(3)At 4 bar: Ub2 = (0.1% × 4) / sqrt(3) = 0.004 / 1.7321 Ub2 at 4 bar = 0.002309 bar
Cal Point (bar)0.1% of reading (bar)Ub2 = value / √3 (bar)
00.0000.000000
20.0020.001155
40.0040.002309
80.0080.004619
100.0100.005774

Ub3: Uncertainty from Resolution

Because the UUC is set to the calibration point and the standard reading is the observed value, we consider the resolution of the reference standard (0.001 bar). The uncertainty due to resolution is half the resolution divided by sqrt(3), using a rectangular distribution.

Ub3 formula: Ub3 = (Resolution / 2) / sqrt(3) = (0.001 / 2) / 1.7321 = 0.0005 / 1.7321 Ub3 = 0.000289 bar (constant across all calibration points)

Ub4: Uncertainty from Hysteresis

Hysteresis is the absolute difference between the down cycle reading and the up cycle reading at each calibration point. A rectangular distribution is assumed.

Ub4 formula: Ub4 = |Down reading − Up reading| / sqrt(3)At 2 bar: Ub4 = |2.005 − 2.003| / sqrt(3) = 0.002 / 1.7321 Ub4 at 2 bar = 0.001155 bar
Cal Point (bar)UP (bar)DOWN (bar)Hysteresis (bar)Ub4 (bar)
00.0000.0000.0000.000000
22.0032.0050.0020.001155
44.0064.0040.0020.001155
88.0058.0060.0010.000577
1010.00810.0070.0010.000577

Ub5: Uncertainty from Zero Error

Zero error is measured after releasing all pressure and comparing the instrument reading with zero. In our example, both the up and down cycles return to exactly 0.000 bar at zero, so:

Ub5 formula: Ub5 = Zero error / sqrt(3) = 0.000 / sqrt(3) Ub5 = 0.000000 bar (all calibration points)
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Combined Standard Uncertainty (uc)

Combined standard uncertainty is not a simple addition of all the individual uncertainty components. Adding them directly would overestimate the total uncertainty because the individual errors are independent and do not all point in the same direction at the same time. Instead, we use the root sum of squares (RSS) method, also called quadrature addition.

Combined standard uncertainty formula (root sum of squares): uc = sqrt(Ua² + Ub1² + Ub2² + Ub3² + Ub4² + Ub5²)At 4 bar: uc = sqrt(0.001² + 0.005² + 0.002309² + 0.000289² + 0.001155² + 0²) = sqrt(0.000001 + 0.000025 + 0.0000053 + 0.0000001 + 0.0000013 + 0) = sqrt(0.0000327) uc at 4 bar = 0.00572 bar ≈ 0.006 bar
Figure 2: Root Sum of Squares (RSS): Why We Cannot Simply Add Uncertainties
WRONG: Simple addition overstates uncertainty Ua=0.001 + Ub1=0.005 + Ub2=0.002 + Ub3=0.0003 + Ub4=0.001 + Ub5=0 = 0.0093 bar OVERSTATED Assumes all errors act in the same direction simultaneously. Never true. CORRECT: Root sum of squares (RSS) uc = sqrt(0.001² + 0.005² + 0.002² + 0.0003² + 0.001² + 0²) = 0.0057 bar CORRECT Independent errors partially cancel. RSS gives the statistically correct result.

Figure 2: Simple addition of uncertainty components always overstates the total uncertainty because it assumes every error is at its maximum and pointing in the same direction at the same time. The RSS method correctly accounts for the statistical independence of each uncertainty source.

Cal Point (bar)UaUb1Ub2Ub3Ub4Ub5uc = RSS (bar)
00.0000000.0050000.0000000.0002890.0000000.0000000.00501
20.0010000.0050000.0011550.0002890.0011550.0000000.00529
40.0010000.0050000.0023090.0002890.0011550.0000000.00572
80.0005000.0050000.0046190.0002890.0005770.0000000.00680
100.0005000.0050000.0057740.0002890.0005770.0000000.00760

Expanded Uncertainty and the Coverage Factor k

The combined standard uncertainty uc represents a confidence level of approximately 68% (one standard deviation). For a calibration certificate to be meaningful and useful, we need to report at a higher confidence level, typically 95%.. To achieve this, we multiply the combined standard uncertainty by the coverage factor k.

Expanded uncertainty formula: U = k × ucWhere: k = 2 corresponds to approximately 95.45% confidence (normal distribution) k = 3 corresponds to approximately 99.73% confidenceStandard practice in most calibration certificates: k = 2At 10 bar: U = 2 × 0.00760 = 0.01520 bar ≈ 0.015 bar Reported as: Expanded Uncertainty U = 0.015 bar at k = 2 (confidence level ~95%)
Cal Point (bar)Combined uc (bar)k factorExpanded U = k × uc (bar)Reported as
00.0050120.010020.010 bar
20.0052920.010580.011 bar
40.0057220.011440.011 bar
80.0068020.013600.014 bar
100.0076020.015200.015 bar

The expanded uncertainty is what appears on the calibration certificate. For example, at the 10 bar calibration point, the certificate would state: "The measured value is 10.008 bar. The expanded measurement uncertainty is U = 0.015 bar at k = 2 (approximately 95% confidence level)."

How to read an uncertainty statement on a calibration certificate
When a calibration certificate says "U = 0.015 bar, k = 2", it means: the true value lies within the range (measured value ± 0.015 bar) with approximately 95% confidence. If the measured value was 10.008 bar, the true value is almost certainly between 9.993 bar and 10.023 bar. In 5% of cases (1 in 20), the true value might fall outside this range, but that is acceptable at 95% confidence.
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The Uncertainty Budget: Identifying the Dominant Contributors

A useful way to check your uncertainty calculation is to look at what is driving it. Square each individual uncertainty component and express it as a percentage of the total combined variance. This is called the uncertainty budget.

ComponentSymbolValue at 10 bar (bar)Squared value% of total variance
Repeatability (Type A)Ua0.0005000.0000002500.4%
Standard certificateUb10.0050000.00002500043.3%
Accuracy of standardUb20.0057740.00003333957.7%
ResolutionUb30.0002890.0000000840.1%
HysteresisUb40.0005770.0000003330.6%
Zero errorUb50.0000000.0000000000.0%
Combined ucuc0.0076010.000057806100%

The budget reveals that over 57% of the total uncertainty at the 10 bar point comes from the accuracy of the standard (Ub2). The standard certificate uncertainty (Ub1) contributes another 43%. Repeatability, resolution and hysteresis are all negligible contributors at less than 1% each. This tells us that to significantly reduce the measurement uncertainty, we would need a more accurate reference standard. Improving the calibration procedure itself (more repeat readings, better technique) would have almost no effect.

Summary: The Eight Steps to Calculate Measurement Uncertainty

  1. Perform the calibration and record all data Complete the upscale and downscale readings at all calibration points. Record the UUC readings, the standard readings (up and down) and any zero readings.
  2. Calculate Type A uncertainty (Ua) For each calibration point: calculate the standard deviation of the repeated readings, then divide by the square root of the number of readings. Ua = S / sqrt(n).
  3. Calculate Ub1: Standard certificate uncertainty Take the uncertainty stated on the reference standard's calibration certificate and divide by the stated k factor. Ub1 = Certificate uncertainty / k.
  4. Calculate Ub2: Accuracy of the standard Multiply the accuracy percentage by the reading at each calibration point, then divide by sqrt(3). Ub2 = (Accuracy% × Reading) / sqrt(3).
  5. Calculate Ub3: Resolution uncertainty Identify which instrument is being read (the changing one). Take half its resolution and divide by sqrt(3). Ub3 = (Resolution / 2) / sqrt(3).
  6. Calculate Ub4: Hysteresis uncertainty For each calibration point: take the absolute difference between the down reading and the up reading, divide by sqrt(3). Ub4 = |Down - Up| / sqrt(3).
  7. Calculate combined standard uncertainty (uc) Square all individual uncertainties, add them together, and take the square root. uc = sqrt(Ua² + Ub1² + Ub2² + Ub3² + Ub4² + Ub5²).
  8. Calculate expanded uncertainty (U) and report Multiply the combined standard uncertainty by the coverage factor k (typically k = 2 for 95% confidence). U = k × uc. Report U alongside the calibration results on the certificate.

Further Reading and External Resources

Trusted external resources on measurement uncertainty

Frequently Asked Questions: Measurement Uncertainty in Calibration

What is measurement uncertainty in calibration?
Measurement uncertainty is a range around a measurement result that defines how widely the true value could realistically be dispersed. It accounts for all sources of doubt in a measurement: the scatter in repeat readings, the accuracy of the reference standard, resolution limits, hysteresis and other factors. Every measurement has uncertainty. A calibration certificate is incomplete without an uncertainty statement.
What is the difference between Type A and Type B uncertainty?
Type A uncertainty is evaluated by statistical analysis of repeated calibration readings (repeatability and reproducibility). Type B uncertainty is evaluated from information other than direct measurement, such as the reference standard's calibration certificate, manufacturer accuracy specifications, resolution limits and hysteresis. Both types are equally valid. The distinction is only in the method of evaluation.
Why do we divide by sqrt(3) for some uncertainty components?
Dividing by sqrt(3) applies when a rectangular (uniform) probability distribution is assumed. This means every value within the specified limit is equally probable. Resolution and hysteresis follow a rectangular distribution because an error could be anywhere within the specified limits with equal probability. Dividing the half-width by sqrt(3) gives the equivalent standard uncertainty for a rectangular distribution.
Why is the combined uncertainty calculated using root sum of squares and not simple addition?
Simple addition of uncertainty components assumes all errors simultaneously act at their maximum values in the same direction. This never happens in practice because the errors are independent of each other. The root sum of squares method correctly accounts for the statistical independence of each contribution and gives a realistic combined uncertainty. Simple addition always overstates the true uncertainty.
What does k=2 mean on a calibration certificate?
The coverage factor k=2 means the reported expanded uncertainty corresponds to approximately 95% confidence. This means the true value lies within the stated uncertainty range in 95 out of 100 measurements. It is the standard reporting level for most industrial calibration certificates and is required by ISO/IEC 17025.
How do I reduce measurement uncertainty?
First identify the dominant uncertainty contributor using an uncertainty budget (express each component as a percentage of total variance). If the reference standard accuracy dominates, use a more accurate standard. If repeatability dominates, take more readings per calibration point. If resolution dominates, use an instrument with finer resolution. Improving minor contributors has almost no effect on the total uncertainty.

What we learn today

  • Measurement uncertainty is the range within which the true value of a measurement is expected to lie. Type A uncertainty is evaluated from repeated readings (standard deviation). Type B uncertainty is evaluated from external information such as reference standard certificates, accuracy specifications, resolution and hysteresis.
  • Type B components from a rectangular distribution (resolution, hysteresis) are converted to standard uncertainty by dividing by sqrt(3). Standard certificate uncertainty is divided by the k factor stated on the certificate.
  • Combined standard uncertainty is calculated using root sum of squares: uc = sqrt(Ua² + Ub1² + Ub2² + ...). Never add uncertainty components directly as this always overstates the total uncertainty.
  • Expanded uncertainty U = k × uc. With k=2, this gives approximately 95% confidence. U is what is reported on the calibration certificate. Always express the uncertainty budget to identify the dominant contributor and focus improvement efforts there.

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