Percent Error Calculator
Compare an experimental or measured value with the accepted or true value and instantly find the percent error.
Percent Error
Percent Error: Definition, Formula, and Measurement Insights
Percent error measures how far a measured or experimental value is from a true or accepted value, expressed as a percentage of the true value.
This guide mirrors your other calculator pages with structured boxes, examples, tables, pitfalls, and practice problems, all focused on percent error in labs, experiments, and real measurements.
What Is Percent Error?
Percent error quantifies the relative difference between an experimental value and the accepted true value.
Percent error = |Experimental − True| / |True| × 100%
- True value: Accepted, theoretical, or standard value.
- Experimental value: Measured value from an experiment or observation.
- Absolute difference: The size of the error, ignoring sign.
True value: 100, experimental: 95.
Error = |95 − 100| = 5; percent error = 5/100 × 100 = 5%.
True value: 50, experimental: 53.
Error = |53 − 50| = 3; percent error = 3/50 × 100 = 6%.
| True | Experimental | Absolute Error | Percent Error |
|---|---|---|---|
| 100 | 95 | 5 | 5% |
| 80 | 76 | 4 | 5% |
| 50 | 53 | 3 | 6% |
| 10 | 9.5 | 0.5 | 5% |
| 25 | 24 | 1 | 4% |
Percent Error Formula and Variants
The standard percent error formula uses the true value as the base, but some fields use signed error or alternate bases.
Percent error = |E − T| / |T| × 100%
where E is experimental, T is true.
T = 32.0, E = 31.2.
Error = |31.2 − 32.0| = 0.8; percent error = 0.8/32 × 100 ≈ 2.5%.
Signed % error = (E − T)/T × 100%
Positive = overshoot, negative = undershoot.
T = 100, E = 105.
Signed error = (105 − 100)/100 × 100 = +5%.
Absolute error = |E − T| (same units as measurement).
Relative error = |E − T| / |T| (dimensionless), percent error is relative error × 100%.
| Quantity | Formula | Units | Use |
|---|---|---|---|
| Absolute error | |E − T| | Same as measured | Raw difference |
| Relative error | |E − T| / |T| | None | Scaled difference |
| Percent error | Relative error × 100% | % | Easy comparison |
Step-by-Step Examples
These examples show how to compute percent error in laboratory and real-life measurement situations.
A standard weight is 50.0 g, but a scale reads 49.1 g. Find the percent error.
Step 1: T = 50.0, E = 49.1.
Step 2: Absolute error = |49.1 − 50.0| = 0.9 g.
Step 3: Percent error = 0.9/50.0 × 100 = 1.8%.
Answer: 1.8% error.
The true length of a rod is 1.000 m; a measurement gives 0.985 m.
Step 1: T = 1.000, E = 0.985.
Step 2: |E − T| = |0.985 − 1.000| = 0.015 m.
Step 3: Percent error = 0.015 / 1.000 × 100 = 1.5%.
Answer: 1.5% error.
A reaction is known to complete in 2.50 s, but a stopwatch reading is 2.65 s.
Step 1: T = 2.50, E = 2.65.
Step 2: |E − T| = 0.15 s.
Step 3: Percent error = 0.15 / 2.50 × 100 = 6%.
Answer: 6% error.
Where Percent Error Is Used
Percent error is widely used in scientific experiments, engineering tolerances, and any situation where accuracy of measurements matters.
🔬 Laboratory Experiments
Chemistry and physics labs use percent error to compare experimental results to theoretical predictions or reference values.
⚙️ Engineering and Manufacturing
Engineers check if parts are within acceptable percent error ranges relative to design dimensions or performance targets.
📏 Instrument Calibration
Devices like thermometers, pressure gauges, and scales are calibrated by measuring percent error against standards.
📊 Data Validation
Percent error helps evaluate the accuracy of models or simulations by comparing predicted values to observed data.
💻 Sensors and IoT
In embedded systems, percent error is used to judge the quality of sensor readings under different conditions.
📈 Forecasting
Forecast percent error indicates how close predictions (like demand or weather) are to actual outcomes.
Common Mistakes with Percent Error
Many students and professionals misapply the formula or choose the wrong base, leading to misleading error values.
Using experimental value in the denominator instead of the true value changes the meaning.
✅ Always divide by the true or accepted value when computing percent error (unless a specific field defines it differently).
Dropping the absolute value can produce negative “percent error”.
✅ Use |E − T| for standard percent error so the result is always non‑negative.
Dividing by zero makes the expression undefined; percent error cannot be computed when the true value is zero.
✅ If T = 0, use absolute error alone or another relative measure suitable for your context.
Percent difference compares two experimental values instead of experimental vs true.
✅ Use the correct formula depending on whether you compare to a reference or between two measurements.
Related Concept: Percent Difference
Percent difference is often used when there is no known true value, and you instead compare two experimental measurements.
Percent difference = |E₁ − E₂| / ((|E₁| + |E₂|)/2) × 100%
Two measurements of the same quantity: 9.8 and 10.1.
Average = (9.8 + 10.1)/2 = 9.95; difference = |9.8 − 10.1| = 0.3.
Percent difference = 0.3 / 9.95 × 100 ≈ 3.02%.
| Measure | Formula | Use Case |
|---|---|---|
| Percent error | |E − T| / |T| × 100% | Compare measurement to accepted value |
| Percent difference | |E₁ − E₂| / average × 100% | Compare two experimental values |
Practice Problems with Solutions
Use these to test your understanding of percent error, then check your answers with the calculator above.
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|24.0 − 25.0| = 1.0; 1.0/25.0 × 100 = 4% error.
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|103 − 100| = 3; 3/100 × 100 = 3% error.
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|0.96 − 1.00| = 0.04; 0.04/1.00 × 100 = 4% error.
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|9.65 − 9.81| = 0.16; 0.16/9.81 × 100 ≈ 1.63% error.
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|642 − 650| = 8; 8/650 × 100 ≈ 1.23% error.
Since 642 < 650, it is an underestimation.
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|4.88 − 5.00| = 0.12; 0.12/5.00 × 100 = 2.4% error.
2.4% < 3%, so the reading passes the requirement.