What is Coverage Factor?
Coverage factor k multiplies the combined standard uncertainty to give an expanded uncertainty at a chosen confidence level.
Coverage Factor Explained
For a normal distribution, k = 2 gives about 95 % coverage, the usual level on calibration certificates. With few degrees of freedom, a larger k from the t distribution is needed.
Certificates should state k, so users can recover the standard uncertainty.
Coverage Factor Formula
| U | expanded uncertainty |
| uc | combined standard uncertainty |
Coverage Factor: Typical Values
| k = 1 | about 68 % |
| k = 2 | about 95 % |
| k = 3 | about 99.7 % |
Calculators for Coverage Factor
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Frequently Asked Questions
What is Coverage Factor?
Coverage factor k multiplies the combined standard uncertainty to give an expanded uncertainty at a chosen confidence level.
Why is 2 not exactly 95 %?
Exactly 95.45 %; 1.96 gives 95.0 %. Certificates commonly use k = 2.
How do I combine a certificate value?
Divide the stated U by its k to get the standard uncertainty first.
Learn more on the blog
Calibration traceability: 6 proven links for trusted results
A practical guide on instrumentationblog.in with more detail on coverage factor and how it is applied on real plants.
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