Percent Error Calculator

Calculate the percent error between experimental and theoretical values. Essential for scientific experiments, data analysis, and quality control measurements.

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Formula:
Percent Error = |Experimental - Theoretical| / |Theoretical| × 100%

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Enter your values to calculate percent error and see detailed analysis.

How Percent Error Works

Understanding Percent Error

Percent error measures the accuracy of an experimental or measured value compared to a known theoretical or accepted value.

The formula is: |Experimental - Theoretical| / |Theoretical| × 100%

A lower percent error indicates higher accuracy, while a higher percent error suggests less precision in the measurement.

Types of Error Calculations

Percent Error:
Compares experimental vs theoretical values
Percent Difference:
Compares two measured values
Percent Change:
Shows change from original to new value

Applications of Percent Error

Scientific Research

Laboratory Experiments:
Validate experimental results against known values
Instrument Calibration:
Check accuracy of measuring devices
Data Validation:
Assess reliability of collected data

Quality Control

Manufacturing:
Monitor production accuracy and consistency
Testing:
Evaluate performance against specifications
Compliance:
Ensure adherence to standards and regulations

Business & Finance

Forecasting:
Compare predictions with actual results
Budget Analysis:
Track variance from planned expenses
Performance Metrics:
Measure deviation from targets

Example Calculations

Laboratory Measurement

A student measures the density of water as 0.98 g/mL. The theoretical value is 1.00 g/mL.

Percent Error = |0.98 - 1.00| / |1.00| × 100% = 2.00%
This is considered excellent accuracy for a student measurement.

Temperature Reading

A thermometer reads 24.5°C when the actual temperature is 25.0°C.

Percent Error = |24.5 - 25.0| / |25.0| × 100% = 2.00%
This indicates good instrument accuracy.

Sales Forecast

A company forecasted $100,000 in sales but actually achieved $95,000.

Percent Error = |95,000 - 100,000| / |100,000| × 100% = 5.00%
This suggests room for improvement in forecasting accuracy.

Frequently Asked Questions

What's the difference between percent error and percent difference?

Percent error compares an experimental value to a known theoretical value, while percent difference compares two measured values without assuming one is "correct."

Can percent error be negative?

No, percent error is always positive because it uses absolute values. If you need to know the direction of error, use relative error or percent change instead.

What's considered a good percent error?

This depends on the context. In laboratory settings, less than 5% is often considered good, less than 1% is excellent. For business forecasting, less than 10% might be acceptable.

What if the theoretical value is zero?

Percent error cannot be calculated when the theoretical value is zero because it would involve division by zero. Use absolute error instead.