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Percent Error Calculator

Calculate percent error from an observed value and the true value, with the formula shown.

Percent error (absolute)

Formula: |observed − true| ÷ |true| × 100%

Absolute error

Signed percent error

Verdict

What this percent error calculator does

The percent error calculator measures how accurate a measurement or estimate is relative to the accepted true value. It shows three things at once: the absolute error (the raw difference, in the same units as your values), the percent error using the standard absolute-value formula, and the signed percent error so you can tell whether your reading came in too high or too low. It's the workhorse number for science labs, engineering checks and quality control.

The formula

Absolute percent error: |observed − true| ÷ |true| × 100%

Signed percent error: (observed − true) ÷ |true| × 100%

Most textbooks present the absolute version because experimental accuracy is usually about size of error, not direction. The signed version is useful when you need to know whether your instrument is biased high or low.

Percent error vs percent difference

Pick the right tool for what you have. Use percent error when one of the two values is an accepted truth — a published constant, a target spec, an expected theoretical result. Use percent difference when you are comparing two measurements with no preferred reference between them, dividing by their average instead of by one of them.

Reading the result

Rough quality bands used in many lab courses:

  • Under 5% — very good for a student lab
  • 5%–10% — acceptable for introductory work
  • 10%–25% — significant deviation; check method and equipment
  • Over 25% — likely a systematic issue; re-run the experiment

What counts as "good" depends entirely on the precision required. A 1% error on g (gravity) is normal in a classroom but unacceptable for a national gravity survey.

How to lower percent error

Three big levers, in order of payoff:

  • Repeat and average. Random error shrinks like 1/√n with more readings.
  • Calibrate. Check your instrument against a known standard before measuring.
  • Identify systematic bias. If every reading is off the same way, the cause is your method or hardware, not random noise.

Edge case: true value of zero

If the true value is zero the percent error formula divides by zero, which is undefined. This calculator detects that and shows "Undefined" along with a hint to use absolute error instead. In that situation, absolute error in the original units is the right thing to report.

Use with the other tools

For general percentage maths, see the percentage calculator. For spread and variability in a data set, the standard deviation calculator shows population and sample SD. For simple averaging, the average calculator gives mean, median and mode.

Frequently asked questions

What is percent error?

Percent error is how far off a measured or estimated value is from a true (accepted) value, expressed as a percentage. Formula: |observed − true| ÷ |true| × 100%. It is the standard accuracy measure in science labs and engineering.

What is the difference between percent error and percent difference?

Percent error compares a measurement to a known true value (a reference). Percent difference compares two measurements when neither is the accepted value, dividing by the average of the two.

Is percent error always positive?

In the absolute version most science classes use, yes — we take |observed − true|. Some fields use signed percent error to show whether the measurement is high or low; this calculator displays both.

What is a good percent error?

It depends on the experiment. Under 5% is usually considered very good for student labs; under 10% is acceptable for most introductory work; consistently higher than 10% suggests a systematic issue with equipment or technique.

What happens if the true value is zero?

Percent error is undefined when the true value is zero because the formula divides by it. The calculator shows "Undefined" rather than infinity.

How do I reduce percent error?

Use more precise instruments, repeat measurements and average them, calibrate equipment, control environmental conditions, and identify systematic biases that consistently shift readings the same direction.

Worked example

In a pendulum lab, you measure gravity as 9.78 m/s². The accepted value is 9.81 m/s².

  • Absolute error: |9.78 − 9.81| = 0.03 m/s²
  • Percent error: 0.03 ÷ 9.81 × 100 ≈ 0.306%
  • Signed percent error: (9.78 − 9.81) ÷ 9.81 × 100 ≈ −0.306% (measurement was slightly low)

Under 1% is excellent — a sign of well-conducted measurement. If you'd read 9.5 instead, percent error would be 3.16%, still solid for an introductory lab.

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