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Uncertainty in Measurement: Accuracy and Precision03:37

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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. 
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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...
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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
PubMed
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 standardscalibrationdimensional metrologygage blocksgagesoptical flatsuncertaintyuncertainty 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.