Relative error quantifies the size of the discrepancy between an approximate measurement and the true (exact) value, expressed as a fraction of the true value.
In statistical analysis, reporting relative error helps compare the precision of different estimates regardless of the magnitude of the quantities involved.
A smaller relative error indicates a more accurate approximation, and the result can be multiplied by 100 to express it as a percentage for easier interpretation.
How do I calculate relative error?
What is the formula for relative error?
Why use relative error instead of absolute error?
Can relative error be greater than 100%?
How do I interpret a small relative error?
What does a negative relative error mean?
When should I use this calculator?
Results are for informational purposes only and do not constitute professional advice.
