Free Online Uncertainty Calculator

Calculate measurement uncertainty for ISO 17025 compliance. Follow GUM methodology to evaluate Type A, Type B, combined, and expanded uncertainty. No sign-up required.

ISO/IEC 17025GUM compliantType A & Type BFree ToolNo Sign-up

What is Measurement Uncertainty?

Measurement uncertainty is a parameter that characterizes the dispersion of values that could reasonably be attributed to a measured quantity. In simpler terms, it's the doubt about the result of any measurement.

Every measurement has some uncertainty associated with it. Understanding and calculating this uncertainty is crucial for:

  • ISO/IEC 17025 accredited laboratories
  • Quality control and assurance professionals
  • Calibration laboratories
  • Research and development scientists
  • Metrology and measurement engineers

How to Calculate Uncertainty Step by Step

1

Define Measurement Model

Identify all input quantities (x₁, x₂, ... xₙ) that affect your measurement result

2

Type A Evaluation

Calculate from repeated measurements using statistical methods (standard deviation)

3

Type B Evaluation

Assess uncertainties from certificates, specifications, and other information

4

Combine & Expand

Calculate combined standard uncertainty and expand with coverage factor

Types of Measurement Uncertainty

Type A Uncertainty

  • • Based on statistical analysis of repeated observations
  • • Calculated from experimental standard deviation
  • • Formula: u = s/√n (where s is standard deviation, n is number of measurements)
  • • Requires multiple measurements under repeatability conditions

Type B Uncertainty

  • • Based on scientific judgment using available information
  • • Sources: calibration certificates, manufacturer specs, reference data
  • • Common distributions: rectangular, triangular, normal
  • • Example: u = a/√3 for rectangular distribution (a is half-range)

Key Uncertainty Formulas

Combined Standard Uncertainty

uc(y) = √[∑ (∂f/∂xᵢ)² · u²(xᵢ)]

Where ∂f/∂xᵢ are sensitivity coefficients

Expanded Uncertainty

U = k · uc(y)

Typically k=2 for approximately 95% confidence

Ready to Calculate Your Measurement Uncertainty?

Our free uncertainty calculator makes ISO 17025 compliance easy. No spreadsheets, no complex formulas—just accurate results following GUM methodology.

Frequently Asked Questions

What is measurement uncertainty?

Measurement uncertainty is a quantitative indicator of the quality of measurement results. It represents the doubt about the validity of a measurement result and is expressed as a range within which the true value is believed to lie with a specified level of confidence.

What is the GUM method?

The GUM (Guide to the Expression of Uncertainty in Measurement) is an international standard (JCGM 100:2008) that provides a framework for evaluating and expressing uncertainty in measurement. It's the most widely accepted methodology used by accredited laboratories worldwide.

What is Type A uncertainty?

Type A uncertainty evaluation is based on statistical analysis of repeated observations. It's calculated from experimental data using standard deviation and is used when you have multiple measurements of the same quantity under repeatability conditions.

What is Type B uncertainty?

Type B uncertainty evaluation is based on scientific judgment using all available information, such as calibration certificates, manufacturer specifications, reference data, or previous measurement data. It doesn't rely on statistical analysis of current observations.

How is expanded uncertainty calculated?

Expanded uncertainty (U) is calculated by multiplying the combined standard uncertainty (u_c) by a coverage factor (k). For a 95% confidence level with sufficient degrees of freedom, k is typically 2. U = k × u_c.

Why is uncertainty calculation important for ISO 17025?

ISO/IEC 17025:2017 Clause 7.6 requires testing and calibration laboratories to evaluate measurement uncertainty for all calibrations and some types of tests. Proper uncertainty evaluation is essential for demonstrating technical competence and ensuring reliable measurement results.