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Percentage Error Calculator

Calculate the percentage error between your experimental value and the theoretical (accepted) value with step-by-step working.

Error Results

Percentage Error 0%
Absolute Error 0
Relative Error 0

Step-by-Step Calculation

How to Use the Percentage Error Calculator

  1. Enter your experimental (measured) value.
  2. Enter the theoretical (accepted/expected) value.
  3. Click "Calculate Error" to see the percentage error.
  4. Review the step-by-step calculation to understand the process.

Formula Used

Percentage Error = |Experimental - Theoretical| / |Theoretical| × 100%

Where:

  • Experimental Value = Your measured or observed value
  • Theoretical Value = The accepted or expected value
  • | | = Absolute value (always positive)

Absolute Error = |Experimental - Theoretical|

Relative Error = |Experimental - Theoretical| / |Theoretical|

Frequently Asked Questions

What is percentage error?

Percentage error measures how accurate an experimental value is compared to the theoretical (accepted) value. It expresses the difference as a percentage of the theoretical value, making it easy to compare errors across different scales.

Why use absolute value?

Absolute value ensures the error is always positive, regardless of whether the experimental value is higher or lower than the theoretical value. This focuses on the magnitude of the error rather than its direction.

What's a good percentage error?

Acceptable percentage error depends on the field and context. In physics experiments, errors under 5% are often considered good. In chemistry, 1-2% might be expected. In social sciences, larger errors may be acceptable. Always consider the context of your measurement.

Can percentage error be over 100%?

Yes, percentage error can exceed 100% if the experimental value is more than double the theoretical value (or less than zero for positive theoretical values). This indicates a very large discrepancy between measured and expected values.

What if the theoretical value is zero?

Percentage error is undefined when the theoretical value is zero because you cannot divide by zero. In such cases, use absolute error instead, or consider whether the measurement is meaningful when the expected value is zero.