Error Percentage Formula:
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Error percentage is a measure of how inaccurate a predicted value is compared to the actual value. It quantifies the difference between what was expected and what actually occurred, expressed as a percentage of the actual value.
The calculator uses the error percentage formula:
Where:
Explanation: The formula calculates the absolute difference between actual and predicted values, divides by the actual value to get a relative error, then converts to percentage.
Details: Error percentage is widely used in statistics, engineering, forecasting, and quality control to assess the accuracy of predictions and measurements.
Tips: Enter both actual and predicted values. The actual value must be greater than zero. The result shows what percentage the prediction was off from reality.
Q1: What's a good error percentage?
A: This depends on context. In some fields <5% is excellent, while others may tolerate 10-20%. Compare against industry standards.
Q2: Can error percentage be negative?
A: No, because we use absolute value in the numerator. The direction of error isn't shown, only magnitude.
Q3: What if actual value is zero?
A: The formula is undefined when actual=0. Use alternative metrics like absolute error in such cases.
Q4: How does this differ from percent difference?
A: Percent difference compares two experimental values, while error percentage compares to a known reference.
Q5: When shouldn't I use this?
A: When actual values are very small or zero, or when relative error isn't the most meaningful metric.