Percent Error Calculator

Calculate percent error between an observed and true value. Shows absolute error, relative error, and a quality rating. Supports signed (negative) error for directional analysis.

Guides & Reference

How It Works

Standard FormulaScience experiments, lab reports

Take the absolute difference between observed and true values. Divide by the absolute value of the true value. Multiply by 100. The result tells you the error as a percentage of the expected value.

|Observed − True| / |True| × 100%|9.8 − 10| / |10| × 100 = 2%
Absolute ErrorStep 1 of percent error calculation

The absolute error is the magnitude of the difference between your measurement and the true value. It has the same units as the measurement — grams, meters, seconds, etc.

Absolute Error = |Observed − True||56.891 − 62.327| = 5.436
Relative ErrorComparing errors across different scales

Relative error normalizes the absolute error by the true value, making it dimensionless. A 5g error on a 10g sample is far more significant than a 5g error on a 10kg sample.

Relative Error = |Observed − True| / |True|5.436 / 62.327 = 0.08722 = 8.722%
Negative Error OptionDirectional analysis in research

If you disable absolute value, a negative error means you measured less than expected. A positive error means you measured more. This directional information can reveal systematic bias in a measurement method.

(Observed − True) / |True| × 100%(7 − 9) / 9 × 100 = −22.22%
Quality RatingAssessing experiment accuracy

Excellent: < 1% — the measurement is very close to accepted value. Good: 1–5% — acceptable for most lab work. Acceptable: 5–10% — common in introductory labs. High Error: > 10% — experiment likely needs revision.

Rating based on |% error| threshold2% → Good | 8% → Acceptable | 15% → High Error
Real Lab ExampleChemistry density experiment

You measure the density of aluminum as 2.64 g/cm³. The accepted value is 2.70 g/cm³. Percent error = |2.64 − 2.70| / 2.70 × 100 = 2.22%. This falls in the "Good" range — a solid experimental result.

|2.64 − 2.70| / 2.70 × 1000.06 / 2.70 × 100 = 2.22%

Quick Reference

Common lab scenarios — verify instantly above.

Physics

Obs 9.8, True 9.81

0.102%

Chemistry

Obs 48, True 50

4%

Biology

Obs 98, True 100

2%

Excellent

Obs 9.99, True 10

0.1%

Acceptable

Obs 92, True 100

8%

High Error

Obs 85, True 100

15%

Negative

Obs 7, True 9 (signed)

−22.22%

Density Lab

Obs 2.64, True 2.70

2.22%

Tips & Shortcuts

Always use the accepted true value in the denominator — not the observed (measured) value. This is the most common mistake in lab reports.

A percent error of 0% is ideal but rare. Focus on whether your error is within the acceptable range for your specific experiment.

If your percent error is consistently in one direction (always + or always −), you likely have a systematic error in your measurement method.

For very small true values (close to zero), percent error can be enormous even with small absolute errors. Context matters.

When comparing experiments, relative error is more meaningful than absolute error — 5 grams off on a 10-gram sample is catastrophic; on 10 kg, it is negligible.

The quality thresholds (< 1%, < 5%, < 10%) vary by field. Physics experiments often require tighter tolerances than biology experiments.

Common Mistakes

Dividing by the observed value instead of the true value

Always divide by the true (accepted, known) value. The true value is your reference point.

Forgetting the absolute value signs

Without |...| you can get negative results that misrepresent direction as error magnitude. Use |Observed − True| unless you specifically need signed error.

Reporting percent error without context or units

Always state what you were measuring: "2% error in density measurement" not just "2% error".

Using percent error when the true value is unknown

If the true value is unknown, percent error is meaningless. Use standard deviation or range instead.

Thinking a lower percent error always means a better experiment

A very low percent error could result from luck or error cancellation. Look at multiple trials.

Confusing percent error with percent difference

Percent error compares to a known true value. Percent difference compares two measurements with no established "truth".

Frequently Asked Questions

Percent error measures how far a measured value deviates from the accepted true value, expressed as a percentage of the true value.

Under 1% is excellent. Under 5% is generally good. Under 10% is acceptable in many high school and university labs depending on the experiment.

With the standard formula using absolute value, no. But if you allow signed error (disable absolute value), a negative result means your observed value was smaller than the true value.

Percent Error = (|Observed − True| / |True|) × 100%. The absolute value ensures the result represents magnitude regardless of direction.

Absolute error is the raw difference: |Observed − True|. Relative error divides by the true value: |Observed − True| / |True|. Percent error is relative error × 100.

The true value is the reference point. Dividing by it gives you the error as a fraction of what the value should be, making it comparable across different scales.

Percent error compares an experimental value to a known true value: |experimental − theoretical| / |theoretical| × 100. It requires a correct reference. Percent difference compares two experimental values when neither is "correct": |V₁ − V₂| / ((V₁+V₂)/2) × 100. Use percent error in lab experiments with a known standard; use percent difference when comparing two equivalent measurements.

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