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Calibration · Glossary

What are Type A and Type B Uncertainty?

evaluation methodsCalibration

Type A and Type B uncertainty are the two ways of evaluating uncertainty: Type A from statistics of repeated readings, Type B from other information.

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Type A and Type B Uncertainty Explained

Type A uses the standard deviation of repeated measurements. Type B uses certificates, specifications, resolution and experience, with an assumed distribution.

Both are converted to standard uncertainties and combined the same way.

Type A and Type B Uncertainty Formula

Type A: u = s ÷ √n   Type B (rectangular): u = a ÷ √3
sstandard deviation
nnumber of readings
ahalf width of the limits
Example: Display resolution 0.01 bar: a = 0.005, u ≈ 0.0029 bar.
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Frequently Asked Questions

What are Type A and Type B Uncertainty?

Type A and Type B uncertainty are the two ways of evaluating uncertainty: Type A from statistics of repeated readings, Type B from other information.

Is Type B less reliable?

No, it is just evaluated differently; both are valid.

When is a normal distribution used for Type B?

For values from certificates stated with a coverage factor; divide by that k.

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