Percent Error Calculator

Calculate the percentage error between true and observed values for scientific measurements and experiments

Calculate Percent Error

Standard percent error can be positive or negative

The accepted, theoretical, or exact value

The measured, experimental, or approximated value

Error Analysis Results

Enter values to calculate percent error

Note: True value cannot be zero

Scientific Measurement Examples

Speed of Sound Measurement

True: 343 m/s, Observed: 329 m/s

Percent Error: 4.08%

Laboratory measurement of sound speed in air at 20°C

Gravitational Acceleration

True: 9.81 m/s², Observed: 9.75 m/s²

Percent Error: 0.61%

Physics experiment measuring gravitational acceleration

Chemical Concentration

True: 0.1 M, Observed: 0.098 M

Percent Error: 2.00%

Analytical chemistry concentration determination

Error Types

%

Percent Error

(TV - OV) / TV × 100%

Relative error as percentage

Δ

Absolute Error

|TV - OV|

Magnitude of difference

±

Relative Error

(TV - OV) / TV

Decimal form of percent error

Accuracy Guide

0%Perfect
< 1%Excellent
1-5%Good
5-10%Fair
10-20%Poor
> 20%Very Poor

Understanding Percent Error

What is Percent Error?

Percent error is a measure of how far off a measurement or calculation is from the true or accepted value. It's expressed as a percentage and is commonly used in scientific experiments, engineering calculations, and quality control processes.

Formula Breakdown

Percent Error = (True Value - Observed Value) / True Value × 100%

  • True Value (TV): The accepted, theoretical, or exact value
  • Observed Value (OV): The measured, experimental, or calculated value

Interpreting Results

Positive Percent Error

When percent error is positive, it means the observed value is less than the true value. The measurement underestimated the actual value.

Negative Percent Error

When percent error is negative, it means the observed value is greater than the true value. The measurement overestimated the actual value.

Zero Percent Error

When percent error is zero, it means the observed value exactly matches the true value. This represents perfect accuracy.

Common Applications

Physics Experiments

Measuring gravitational acceleration, speed of light, or other physical constants.

Chemistry Analysis

Determining concentrations, reaction yields, or molecular weights in laboratory work.

Engineering Design

Validating calculations, testing prototypes, or quality control in manufacturing.

Statistical Analysis

Comparing model predictions with actual data or evaluating measurement precision.

Important Considerations

Sources of Error

  • • Instrumental limitations
  • • Human measurement error
  • • Environmental conditions
  • • Systematic biases
  • • Random fluctuations

Improving Accuracy

  • • Use more precise instruments
  • • Take multiple measurements
  • • Control environmental factors
  • • Calibrate equipment regularly
  • • Follow proper procedures