A standard uncertainty expresses a component of measurement uncertainty as an estimated standard deviation. It has the same unit of measurement as the measurand: describes a spread in a length, rather than a percentage or a known measurement error. A Type A evaluation of uncertainty uses statistical analysis of observations; a Type B evaluation of uncertainty uses other information, such as a reference certificate or instrument specification. These classify the evaluation method, not whether a physical effect is random or systematic.[ref]
Guidelines for Evaluating and Expressing the Uncertainty of NIST Measurement Results by Barry N. Taylor and Chris E. Kuyatt. section 2: standard uncertainty and the A/B classification; Appendix D.1: error versus uncertainty
For independent repeated readings with common variance, the sample mean has estimated standard uncertainty , where is their sample standard deviation. This is the standard error of the mean; the scatter instead describes individual readings. Repetition reduces this contribution, but a shared measurement calibration contribution remains. A quoted tolerance supplies a different example: assigning a continuous uniform distribution within those bounds gives . That assignment is a model of the available information, not a consequence of repeating measurements.[ref]
Guidelines for Evaluating and Expressing the Uncertainty of NIST Measurement Results by Barry N. Taylor and Chris E. Kuyatt. section 3: mean of independent observations; section 4.6: rectangular distribution
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