Mathematiques
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Percent Error Calculator.
Calculate absolute and signed percent error from measured and accepted values.
Saisissez vos valeurs
Les résultats se mettent à jour pendant la saisie.
Results update automatically as you type.
Use Cases
Science Lab Experiments
Check how accurate your experimental measurements are compared to theoretical or known values.
Example: If you measure 9.8 m/s² for gravity and the accepted value is 9.81 m/s², the percent error is about 0.1%.
Quality Control in Manufacturing
Evaluate how closely a produced part's measurement matches the specified target.
Example: A part measures 10.2 mm but the spec is 10.0 mm, giving a 2% error.
Frequently Asked Questions
- What is percent error?
- Percent error measures the accuracy of a measurement by comparing it to an accepted or true value. It shows how far off your measured value is from the accepted value, expressed as a percentage.
- What is the difference between absolute and signed percent error?
- Absolute percent error always gives a positive value, showing the magnitude of the error. Signed percent error can be positive or negative, indicating whether the measured value is above (positive) or below (negative) the accepted value.
- How do I use this calculator?
- Simply enter the measured value and the accepted value into the respective fields. The calculator will compute both the absolute and signed percent error for you.
Tips & Common Mistakes
Tips
- Ensure both values are in the same units before calculating.
- Use the signed percent error to see if your measurement is consistently high or low.
- For most purposes, an absolute percent error below 5% is considered acceptable, but it depends on your field.
- Double-check your accepted value – it should be the true or theoretical value.
Common Mistakes to Avoid
- Entering the values in the wrong order – the measured value goes first, accepted value second.
- Forgetting to use the same units for both values, which leads to incorrect results.
- Misinterpreting the signed error as always positive – it can be negative if the measured value is less than the accepted value.
Last updated: August 13, 2026