Propagation Uncertainty Formula:
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Propagation uncertainty refers to how uncertainties in measured quantities propagate through a mathematical function to produce uncertainty in the calculated result. It quantifies the combined effect of measurement errors on derived quantities.
The calculator uses the standard propagation of uncertainty formula:
Where:
Explanation: The formula combines individual uncertainties using their partial derivatives, accounting for how each input uncertainty affects the final result.
Details: Proper uncertainty propagation is essential in experimental science and engineering to determine the reliability of calculated results and to understand the precision of derived quantities.
Tips: Enter the uncertainties for each measured quantity and their respective partial derivatives. All values must be valid (uncertainties ≥ 0).
Q1: When should I use propagation of uncertainty?
A: Use it whenever you calculate a result from measured quantities with known uncertainties to determine the overall uncertainty of your final result.
Q2: What if my function has more than two variables?
A: The formula extends to any number of variables: simply add squared terms for each additional variable under the square root.
Q3: How do I determine the partial derivatives?
A: Partial derivatives are calculated by differentiating your function with respect to each variable while treating other variables as constants.
Q4: What about correlated uncertainties?
A: This calculator assumes uncorrelated uncertainties. For correlated uncertainties, additional covariance terms must be included in the formula.
Q5: Can this be used for any mathematical function?
A: Yes, the propagation formula works for any differentiable function, though the complexity of calculating partial derivatives may vary.