Uncorrelated Measurement Uncertainty Budget
Build a transparent first-order uncertainty budget with standard or bounded-distribution components and an entered coverage factor.
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How to use Uncorrelated Measurement Uncertainty Budget
Standard uncertainties are supplied directly or calculated from half-widths using √3 for a rectangular distribution and √6 for a triangular one. Sensitivity-weighted contributions combine by root sum of squares; your coverage factor multiplies the combined standard uncertainty.
- Enter component json (label, uncertainty, sensitivity, distribution), entered coverage factor k.
- Choose the stated convention and check the units and supported model.
- Calculate, inspect the result, then copy or download it.
Good to know
- 1–100 distinct components; finite magnitudes at most 1e9 and nonzero magnitudes at least 1e-12. Nonnegative uncertainty, any signed sensitivity, and coverage factor greater than zero through 1000. All resulting contributions must share the measurand’s output unit. Assumes uncorrelated inputs and an adequate first-order linearization. No covariance, expression parsing, effective degrees of freedom, automatic confidence level, calibration certificate or conformity decision.
- Local calculation only; no input persistence or external lookup. Text/JSON is limited to 30000 characters and output to 1000000 characters. Numeric model inputs and precision/work limits are stated on this page. Approximate JSON numbers retain full stored values; exact arithmetic outputs retain decimal or fraction strings. Unsupported states fail explicitly.
Common questions
Does k = 2 always mean a 95% confidence interval?
No. Coverage depends on the output distribution and how reliably the standard uncertainty is estimated. This page uses your factor arithmetically and does not assign a confidence level.
Is the input uploaded or saved?
No. The tool calculates inside this browser tab and provides a local download; it does not persist your input.
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