Input quantities
Enter standard uncertainties (1σ). Distribution widths are calculated from u; enter uniform half-width / √3 or triangular half-width / √6. Degrees of freedom are optional and affect independent-input linear coverage only.
Matrix ordering follows the variable table. Correlated Monte Carlo supports normal inputs only; singular positive-semidefinite matrices are accepted.
Type A & Type B helpers
Analysis overview
Imported data worksheet
100-row pages show every imported row. Search affects the preview only. Blank/non-numeric measurement rows are reported or rejected according to the selected method.
Primary analysis plot
Diagnostic plot
Distribution / residuals
Additional results
Workflow, methods and limitations
- Import data or load a labeled synthetic example.
- Review the worksheet, header setting, columns and physical units.
- Choose method controls and run the analysis.
- Inspect numerical tables, plots, exclusions and method assumptions.
- Export the settings with the results for reproducibility.
The measurement equation accepts named variables, + − * / ^, parentheses and exp, ln, log10, sqrt, abs, trigonometric and hyperbolic functions. Use consistent units before evaluating the equation; there is no symbolic dimensional analysis. Up to 12 variables.
First-order combined variance is J C Jᵀ, with covariance built from standard uncertainties and a validated correlation matrix. Sensitivities use finite differences. Welch–Satterthwaite effective degrees of freedom and t coverage are used only for independent inputs; correlated-input coverage uses a normal approximation.
Monte Carlo uses seeded draws from normal, uniform, symmetric triangular or log-normal distributions. Log-normal values represent a positive arithmetic mean and standard deviation. Correlation is supported only for normal Monte Carlo inputs. If more than 1% of draws leave the equation domain, analysis stops. Rare rejected draws are reported and intervals are conditional on retained draws; remove domain failures before relying on the result.
Type A computes the sample mean, sample standard deviation, SEM = s/√n and df = n−1. This assumes independent replicates; drift and autocorrelation require additional assessment. Type B helper converts U/k only when the quoted coverage factor is appropriate. No automatic certification or GUM compliance is claimed.
Reference: NIST uncertainty-propagation guidance.
Uploaded measurements are processed locally. Native proprietary instrument files, PDF/image extraction and calibrated medical analysis are not supported. Excel formulas use stored values. Host over HTTP/HTTPS because computation uses workers. Reloading clears the session.