The identity used by Percent Error
Percent error scales an absolute difference by the magnitude of the accepted value. That scaling makes errors from differently sized measurements easier to compare than raw differences alone.
Compare an observed value with an accepted value on a percentage scale. Beside percent error, the output shows the operation used to obtain it.
Percent error scales an absolute difference by the magnitude of the accepted value. That scaling makes errors from differently sized measurements easier to compare than raw differences alone.
An observation of 9.7 against an accepted value of 10 has absolute error |9.7 − 10| = 0.3. Dividing 0.3 by 10 and multiplying by 100 yields 3%.
Subtract observed and accepted values, take the absolute value, divide by the absolute accepted value, and multiply by 100. Retain enough digits until the final rounding step. A hand-worked extension of Percent Error is absolute difference.
The denominator is the accepted value, not the observed value or the average of both. If neither measurement is authoritative, percentage difference may be the more suitable symmetric comparison.
Laboratory measurements, manufacturing checks, forecasts, and estimates use percent error when a reference value is available. It describes closeness, not whether the estimate was high or low. A related application of Percent Error is other percentage calculations.
Rework Percent Error without copying Percent error. Begin with Observed or experimental value and preserve Accepted or reference value. Predict the scale of the Percent Error answer, then compare it with Percent error. Store a changed Accepted or reference value as another Percent Error case.
Challenge Percent error with a nearby value of Observed or experimental value. Leave Accepted or reference value fixed during the Percent Error trial. The direction of the new Percent error should agree with the underlying Percent Error relationship.
Yes. An error larger than the accepted magnitude produces a result over 100%.
Division by zero is undefined, so the conventional percent-error formula cannot scale the difference.
No. Absolute value removes direction; signed relative error is needed to distinguish high from low.
Usually not. Keep measured precision through the calculation and round the final percentage appropriately.
No. Percentage difference treats both values symmetrically and commonly divides by their average.