Percent Error Formula:
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Percent error measures the accuracy of an experimental value compared to a true or accepted value. It expresses the difference between these values as a percentage of the true value, providing a standardized way to assess measurement accuracy.
The calculator uses the percent error formula:
Where:
Explanation: The formula calculates the relative error as a percentage, making it easier to compare accuracy across different measurements and scales.
Details: Percent error is crucial in scientific experiments, quality control, and data analysis to quantify measurement accuracy, identify systematic errors, and validate experimental methods.
Tips: Enter both experimental and true values. The true value cannot be zero (division by zero error). Values can be positive or negative, but the percent error result will always be positive.
Q1: What is considered a good percent error?
A: This depends on the field and context. Generally, <5% is good, <1% is excellent, but some applications require even lower errors.
Q2: Why use absolute value in the formula?
A: Absolute value ensures the percent error is always positive, representing the magnitude of error regardless of direction (overestimation or underestimation).
Q3: Can percent error be negative?
A: No, the absolute value ensures percent error is always positive. The sign of (Experimental - True) indicates direction of error.
Q4: What if the true value is zero?
A: The formula cannot be used when true value is zero, as this would involve division by zero. Alternative error measures should be used in such cases.
Q5: How is percent error different from percent difference?
A: Percent error compares to a known true value, while percent difference compares two experimental values without assuming either is "true."