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Repeatability and Type A Uncertainty Calculator

Paste a set of repeated readings taken at the same point. The calculator gives the mean, experimental standard deviation, the Type A standard uncertainty of the mean and the degrees of freedom, as used in uncertainty budgets.

Standard deviationType A uncertaintyMeanDegrees of freedom
Mean10.0017
Standard deviation s0.001494
Type A uncertainty of the mean s/√n0.0004726
Readings n10
Degrees of freedom9
Range (max − min)0.005
How this result was calculated
  1. Mean = Σx ÷ n = 10.0017
  2. s = √[Σ(x − mean)² ÷ (n − 1)] = 0.001494
  3. uA = s ÷ √n = 0.0004726
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Type A Evaluation (GUM)

x̄ = Σxi ÷ n
s = √[Σ(xi − x̄)² ÷ (n − 1)]
uA = s ÷ √n, ν = n − 1

s is the experimental standard deviation of single readings (repeatability), uA the standard uncertainty of the mean of n readings and ν the degrees of freedom, as defined in the GUM (JCGM 100). Use s itself, not s/√n, if the calibration result is based on a single reading.

Worked example

Ten readings around 10.002 have a mean of 10.0017, s ≈ 0.0015 and a Type A uncertainty of the mean of about 0.00048 with 9 degrees of freedom.

Key insight: if a reported result comes from one reading, its repeatability uncertainty is s, not s/√n. Averaging only helps when you actually average.
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Frequently Asked Questions

What is Type A uncertainty?

Uncertainty evaluated by statistics from repeated observations, as opposed to Type B, which comes from certificates, specifications or experience.

Why divide by n − 1?

It gives an unbiased estimate of the variance from a sample, because the mean was estimated from the same data.

How many readings should I take?

At least 5, often 10. Few readings give a poorly known standard deviation and a larger coverage factor.

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