Combine weighing and volume uncertainty into concentration uncertainty
The verkfæri combines standard uncertainties for formulas such as C=m/V, C=(m·P)/V, and C=(m·P)/(M·V).
Calculate uncertainty for concentration and dilution niðurstaðas from weighing error, volume error, and related inntaks directly in the browser.
Yfirferð combined standard uncertainty uc, expanded uncertainty U=k·uc, the main contributors, and skýrsla-ready copy úttak in one place.
The verkfæri combines standard uncertainties for formulas such as C=m/V, C=(m·P)/V, and C=(m·P)/(M·V).
It handles certificate-style ±a(k=2), specification-style ±a, and triangular assumptions without making you do the conversion separately.
The contributor breakdown shows which factor dominates the variance so you can target improvements efficiently.
Switch between plain text, Markdown, CSV, and JSON and copy the exact format you need.
m=100.00 mg ±0.10 (rectangular), V=100.00 mL ±0.08 (normal, k=2)
Shows concentration, uc, U, and the contributor split between m and V.
C1=1000 mg/L ±5, V1=10.00 mL ±0.02, V2=100.00 mL ±0.08
Shows U for the diluted concentration and which volume error matters most.
A=98.0 ±0.5, B=100.0 ±0.2
Shows uncertainty for A/B or Recovery(%).
Enter m, P, M, and V together
Shows the contribution from purity and molar mass as well.
The standard-deviation-like uncertainty associated with an inntak quantity x.
The standard uncertainty of the niðurstaða y after combining all inntak contributions.
The skýrsla-facing uncertainty calculated as U = k·uc.
A coefficient showing how strongly the niðurstaða changes when one inntak changes.
The share of the total variance attributafla to one factor.
Standard uncertainty conversion: u=a/k, a/√3, a/√6Combined standard uncertainty: uc = √Σ(c_i·u_i)^2Expanded uncertainty: U = k·ucConcentration: C = m/V, (m·P)/V, (m·P)/(M·V)Dilution: C2 = C1·V1/V2Ratio: R = A/BTolerance notation can be converted into standard uncertainty when you choose a distribution assumption. The verkfæri uses u=a/k for normal(k), u=a/√3 for rectangular, and u=a/√6 for triangular.
k=2 is common, but you should follow your standard, internal rule, or customer requirement. The verkfæri always shows the chosen k in the niðurstaða.
Yes. Plain text, Markdown, CSV, and JSON are available, and the generated úttak includes assumptions, inntaks, niðurstaðas, and the top contributors.
The first release assumes independent inntaks. If your inntaks are correlated, the niðurstaða can be under- or over-estimated.
This verkfæri uses first-order propagation. If relative uncertainties are large or the formula is strongly nonlinear, you should verify the niðurstaða with another method.