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Uncertainty in Measurement: Accuracy and Precision

Uncertainty in Measurement: Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.

Instrument Calibration

Instrument Calibration

Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...

Uncertainty in Measurement: Reading Instruments

Uncertainty in Measurement: Reading Instruments

Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...

Uncertainty: Overview

Uncertainty: Overview

In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.

Accuracy and Precision

Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. Highly accurate...

Accuracy and Precision

Accuracy and Precision

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Updated: Mar 12, 2026

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

Uncertainty and Dimensional Calibrations.

Ted Doiron¹, John Stoup¹

¹National Institute of Standards and Technology, Gaithersburg, MD 20899-0001.

Journal of Research of the National Institute of Standards and Technology

|January 1, 1997

Summary

This summary is machine-generated.

Calculating measurement uncertainty provides bounds for results. This report details implementing standardized rules for dimensional calibrations of nine gage types, ensuring measurement reliability.

Keywords:

angle standards calibration dimensional metrology gage blocks gages optical flats uncertainty uncertainty budget

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Area of Science:

Metrology and Measurement Science
Dimensional Metrology
Calibration Standards

Background:

Measurement results are estimates, necessitating uncertainty statements.
Uncertainty quantifies the confidence in a measurement's range.
Standardized rules govern the calculation of measurement uncertainty.

Purpose of the Study:

To explain the implementation of standardized uncertainty calculation rules.
To demonstrate uncertainty assessment for dimensional calibrations.
To cover a comprehensive range of commonly used gages.

Main Methods:

Application of standardized uncertainty calculation protocols.
Dimensional calibration procedures for various gage types.
Systematic implementation across nine distinct gage categories.

Main Results:

Successful implementation of uncertainty calculations for all nine gage types.
Demonstrated reliability of the applied standardized rules.
Established bounds for measurement results in dimensional calibrations.

Conclusions:

The implemented methods provide reliable uncertainty statements for dimensional calibrations.
Standardized rules effectively bound measurement results.
This approach enhances confidence in dimensional metrology data.