Bias (exatidão)
- Created by
- Renato Passos, Eng. de Software
- Reviewed by
- Renato Passos, Eng. de Software
Last updated: Apr 18, 2026
About this calculator
The Bias (accuracy) calculator is used in quantitative analysis to measure the difference between an experimentally obtained value and a true reference value. This metric evaluates the accuracy of analytical methods, highlighting systematic errors. A bias close to zero indicates a precise method, while larger values suggest consistent deviations.
It works using the formula: Bias = (Measured Value − True Value). The result can be positive or negative, indicating the direction of deviation. Reliable methods should show statistically insignificant bias. Averaging multiple measurements is common practice to minimize random influences.
Use this tool during method validation, quality control in laboratories, or comparisons between analytical techniques. It ensures results are representative of reality, crucial in critical analyses like pharmaceutical or environmental industries.
Cautions: The true value must be trustworthy (e.g., certified standards). Poorly calibrated equipment or imprecise techniques skew results. Note that bias does not account for precision (repeatability), only part of the full validation assessment.
Frequently asked questions
What is bias in analytical chemistry?
It is the difference between a measured value and a true reference value, showing the accuracy of an analytical method.
How does the calculator compute bias?
Using the formula Bias = (Measured Value − True Value), which can be positive or negative.
Why is measuring bias important?
To detect systematic errors in methods, ensuring reliability of scientific and industrial results.
What are the calculator's limitations?
It requires a reliable true value and does not account for method precision (repeatability).
How to interpret bias results?
Values close to zero indicate high accuracy; larger values suggest the method needs re-evaluation.