Percent Error Calculator
Calculate the percent error between an experimental measurement and the accepted theoretical value, including absolute error and sign.
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How to use this calculator
Percent error measures how far an experimental result deviates from the accepted value, expressed as a percentage of the accepted value. A positive result means the measurement is too high; negative means too low.
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Enter your measured (experimental) value in the first field.
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Enter the accepted or theoretical value in the second field.
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Percent error, absolute error, and direction (over/under estimated) are displayed.
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A result close to 0% indicates a highly accurate measurement.
Frequently asked questions
What is a "good" percent error?
It depends on the field. In chemistry lab work, errors under 5% are generally acceptable. In physics, 1–2% is often the standard. In industrial manufacturing, tolerances can be as tight as 0.01%. The acceptable error depends on the precision of your instruments and the requirements of the application.
Does the sign of percent error matter?
Yes. A positive percent error means your experimental value is higher than the accepted value (e.g., you measured more mass than expected). A negative error means it is lower. The sign helps identify systematic errors — if your results are always high, your scale may be miscalibrated.
What is the difference between accuracy and precision?
Accuracy is how close a measurement is to the true value — measured by percent error. Precision is how repeatable/consistent measurements are — measured by standard deviation. A result can be precise (low scatter) but inaccurate (far from truth), or accurate on average but imprecise (high scatter).
Can I use this for financial forecasting accuracy?
Yes, though the metric is then called Mean Absolute Percentage Error (MAPE) when averaged across many forecasts. For a single forecast: % error = (Actual − Forecast)/|Actual| × 100. Note: the denominator is the actual (theoretical) value, not the forecast — identical to the scientific percent error formula.
Percent error calculator — accuracy of experimental measurements
The formula and its meaning
Percent error = (Experimental − Theoretical) / |Theoretical| × 100. The theoretical value — also called the accepted, exact, or true value — serves as the denominator. Using the absolute value ensures the percentage reflects the magnitude of deviation, while the signed version reveals direction. A gravitation experiment measuring g = 9.82 m/s² against the accepted 9.81 m/s² has a percent error of +0.10%, indicating a slight overestimation.
Systematic vs. random error
Percent error helps distinguish systematic errors (consistent offset in one direction, e.g., always +3%) from random errors (scatter around the true value). Systematic errors arise from miscalibration, faulty assumptions, or consistent procedural mistakes. They are detected by consistently positive or negative percent errors across repeated experiments. Random errors are reduced by taking more measurements and averaging.
Applications beyond the laboratory
Percent error is used in weather forecasting (comparing predicted vs. actual temperature), financial analysis (forecast accuracy), engineering tolerances (part dimensions vs. specification), and medical diagnostics (lab assay results vs. certified reference values). Any time a measurement is compared against a known standard, percent error quantifies how close the measurement came.
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Results are estimates for informational purposes only and do not constitute professional financial, medical, legal, or technical advice. Read full disclaimer →