Percent Error Calculator
Calculate percent error between experimental and theoretical values.
By Konstantin Iakovlev · Updated April 2026 · Source: Khan Academy
Percent Error
1.02%
Absolute Error
0.1000
Calculation
| Experimental | 9.7000 |
| Theoretical | 9.8000 |
| |Exp - Theo| | 0.1000 |
| Percent Error | 1.02% |
Use the Percent Error Calculator above to calculate your results. Enter your values and see instant results — all calculations run in your browser.
Disclaimer: This calculator is for informational purposes only and does not constitute tax, financial, or legal advice. Results are estimates based on the information you provide and current rates. Always consult a qualified tax professional or financial advisor for advice specific to your situation.
How It Works
Percent error measures how far an experimental result strays from a known theoretical value, expressed as a share of that reference. The figure earns its keep across lab science, engineering, and even financial forecasting, wherever a measurement needs to be checked against what was expected. Picture a solar panel prototype in 2026 that should convert 28.5% of incoming sunlight into energy; if your test instead reads 27.8%, this tool reports the gap between the two at once.
The calculation takes the absolute difference between the experimental and theoretical values, divides by the theoretical value, and multiplies by 100 to land on a percentage. Written out, that is |Experimental Value - Theoretical Value| / |Theoretical Value| * 100%. The absolute value is what keeps the error positive whether your measurement came in above or below the target.
Mismatched units are the quiet source of bad results, so confirm everything is on the same scale before you enter it. Dropping the absolute value is the other frequent slip, since it lets negative signs creep in and distort how large the deviation really looks. As a reading guide, a small percent error points to high accuracy, while a large one flags a discrepancy worth digging into.
Example: Analyzing a 2026 Biofuel Yield
- 1 A new genetically modified algae strain is theoretically predicted to produce 150 gallons of biofuel per acre in 2026. Your experimental cultivation yields 142 gallons per acre.
- 2 Experimental Value = 142 gallons, Theoretical Value = 150 gallons. Percent Error = |142 - 150| / |150| * 100% = |-8| / 150 * 100% = 8 / 150 * 100% = 0.05333 * 100% = 5.33%.
- 3 The percent error is 5.33%.
- 4 This 5.33% error indicates that your experimental yield is slightly lower than the theoretical prediction. While not a huge deviation, it suggests there might be environmental factors, cultivation techniques, or measurement inconsistencies that could be improved to reach the theoretical maximum. Further analysis is recommended to understand the root cause of this discrepancy in biofuel production for 2026.
Source: Khan Academy · Last updated: April 2026
Frequently Asked Questions
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