Percentage Accuracy Calculator

Calculate the percentage accuracy between observed and expected values

Input Parameters

Calculation Results

Calculation Formula

Percentage Accuracy = [(Expected Value - Observed Value) / Expected Value] * 100%

Where:
- Observed Value: The actual measured or obtained value
- Expected Value: The true or target value

Accuracy Result

Accuracy Percentage: --%

Absolute Error: --

Accuracy Status: --

Percentage Accuracy Calculator Usage Guide

Learn how to use the Percentage Accuracy Calculator and its working principles

How to Use the Calculator

  1. Enter the Observed Value in the first input field. This is the actual value you have measured or obtained.
  2. Enter the Expected Value in the second input field. This is the true or target value that you were aiming for.
  3. Click the Calculate button to compute the percentage accuracy.
  4. The calculator will display the accuracy percentage, absolute error, and an accuracy status.

Understanding the Results

The calculator provides three key results:

  • Accuracy Percentage: This is the percentage difference between the observed and expected values. It is calculated as [(Expected Value - Observed Value) / Expected Value] * 100%.
  • Absolute Error: This is the absolute difference between the observed and expected values, showing how far off the observed value is from the expected value.
  • Accuracy Status: Based on the accuracy percentage, the calculator categorizes the accuracy as High Accuracy (≤5%), Moderate Accuracy (5.1%-10%), or Low Accuracy (>10%).

Example

Example 1: If you expected a result of 100 but observed 95, the accuracy would be calculated as:

[(100 - 95) / 100] * 100% = 5% (High Accuracy)

Example 2: If you expected a result of 100 but observed 110, the accuracy would be calculated as:

[(110 - 100) / 100] * 100% = 10% (Moderate Accuracy)

Practical Applications

This calculator is useful in various fields including:

  • Quality Control: Measuring the accuracy of production processes.
  • Scientific Research: Evaluating experimental results.
  • Finance: Assessing the accuracy of financial forecasts.
  • Education: Measuring student performance against expected outcomes.