Density of water at 25°C: measured 0.985 g/ml, theoretical 0.997 g/ml
% Error = (0.985 - 0.997) / 0.997 × 100 = -1.20%. Absolute: 1.20%. Excellent - chemistry lab acceptable range is typically under 2%.
Percent error measures how far an experimental value strays from a known theoretical or accepted value. Used in physics labs, chemistry titrations and engineering tests to express measurement accuracy.
Percent error (signed)
-1.0204%
Undershoot
Absolute percent error
1.0204%
Difference
-0.1
Formula: % Error = (Experimental − Theoretical) / |Theoretical| × 100
Parte del contenido aún se muestra en inglés.
Percent error is the standard metric for reporting accuracy of experimental measurements in science labs, engineering testing, and quality control. It compares an experimental (observed) value to a theoretical (accepted true) value and expresses the deviation as a percentage. Indian Class 11-12 physics, chemistry, and biology labs require percent error calculations in lab reports; engineering students compute it in physics labs through their B.Tech programmes; quality control engineers track percent error against specification tolerances.
Why percentage rather than absolute? Because a 5g error on a 50g sample is large (10%) while a 5g error on a 5kg sample is negligible (0.1%). Percent error scales with the value being measured, making it the universal accuracy metric across magnitudes. Most lab reports use absolute percent error (positive number, regardless of overshoot or undershoot). Some advanced contexts retain the sign to indicate bias direction - useful in calibration where you want to know if instruments systematically over-read or under-read.
Enter the experimental (observed) value.
Enter the theoretical (true) value.
See percent error and absolute percent error.
Percent error keeps the sign of the difference - positive when you overshot, negative when you undershot. Most reports use absolute percent error since the magnitude is what matters for accuracy.
% Error = (Experimental − Theoretical) / |Theoretical| × 100%
Formula: % Error = ((Experimental − Theoretical) / |Theoretical|) × 100. Signed version preserves direction (positive = overshoot, negative = undershoot). Absolute version: take absolute value of the entire expression, drops sign, reports magnitude only. Used for accuracy reports where sign isn't meaningful.
Acceptable percent error varies by context: School physics labs commonly tolerate 5-10% error before deducting marks. Chemistry titrations target under 2% for good technique. Industrial calibration of analytical instruments demands under 0.5%. NIST traceable measurements often require under 0.1%. Always know the acceptable threshold for your context before reporting.
Percent error vs percent difference: percent error compares to a known true value (the standard). Percent difference compares two experimental measurements where neither is the 'reference'. Use percent error in lab reports against textbook values; use percent difference when comparing two replicate measurements or two methods. Confusing the two is a common student mistake in lab writeups.
% Error = (0.985 - 0.997) / 0.997 × 100 = -1.20%. Absolute: 1.20%. Excellent - chemistry lab acceptable range is typically under 2%.
% Error = (2.05 - 2.00) / 2.00 × 100 = +2.5%. Acceptable for school physics lab. Source of error: human reaction time at start/stop.
% Error = (11.85 - 12.00) / 12.00 × 100 = -1.25%. Below 2% is typical for digital multimeter accuracy.
When magnitude is what counts (accuracy reports, lab grades), the sign isn't useful. Absolute error rolls up overshoot and undershoot into one number.
Depends on context. School physics labs accept 5-10%. Chemistry titrations target <2%. Industrial calibration aims for <0.5%.
Yes - when experimental < theoretical. Some textbooks show signed error, others always show absolute. Check your course standard.
Percent error is undefined when the true value is zero. Use absolute error in those cases.
Percent error compares to a known true value. Percent difference compares two experimental values when neither is the reference.
Accuracy - how close to the true value. Precision (repeatability) is captured by standard deviation of repeated measurements.
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