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Related Concept Videos

Rules for Significant Figures01:44

Rules for Significant Figures

In any measurement, the precision of the measuring tool is an essential factor. An ordinary ruler, for example, can measure length to the closest millimeter; a caliper, on the other hand, can measure length to the nearest 0.01 mm. As a result, the caliper is a more precise measurement tool because it can measure extremely minute changes in length. The measurements will be more accurate if the measuring tool is more precise.
It should be emphasized that when we represent measured values, the...
Uncertainty in Measurement: Significant Figures03:34

Uncertainty in Measurement: Significant Figures

All the digits in a measurement, including the uncertain last digit, are called significant figures or significant digits. Note that zero may be a measured value; for example, if a scale that shows weight to the nearest pound reads “140,” then the 1 (hundreds), 4 (tens), and 0 (ones) are all significant (measured) values.
Significant Figures in Calculations00:58

Significant Figures in Calculations

Uncertainty in measurements can be avoided by reporting the results of a calculation with the correct number of significant figures. This can be determined by the following rules for rounding numbers:
Numerical Calculations01:24

Numerical Calculations

In engineering applications, the representation of the numerical value is critical. Presenting or reporting the answer is one of the essential parts of engineering practices. Numerical calculations are performed using handheld calculators or computers since numerically accurate answers are always preferred.
The solution to a problem is obtained using different methods. While manually solving algebraic symbols is one of the most common methods, the graphical method is often preferred. Computers...
Rules of Significant Figures01:44

Rules of Significant Figures

In any measurement, the precision of the measuring tool is an essential factor. An ordinary ruler, for example, can measure length to the closest millimeter; a caliper, on the other hand, can measure length to the nearest 0.01 mm. As a result, the caliper is a more precise measurement tool because it can measure extremely minute changes in length. The measurements will be more accurate if the measuring tool is more precise.
It should be emphasized that when we represent measured values, the...
Uncertainty in Measurement: Reading Instruments02:46

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...

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Generating Strictly Controlled Stimuli for Figure Recognition Experiments
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Significant figures.

Tony Badrick1, Peter E Hickman

  • 1Biochemistry Department, Sullivan Nicolaides Pathology, Taringa, Brisbane, Qld 4068, Australia. Tony_Badrick@snp.com.au

The Clinical Biochemist. Reviews
|October 15, 2008
PubMed
Summary
This summary is machine-generated.

Consistent reporting of significant figures in laboratory results and reference intervals is crucial. Analytical imprecision, or measurement uncertainty, should guide the selection of reporting intervals for accurate data representation.

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Area of Science:

  • Clinical Chemistry
  • Laboratory Medicine
  • Analytical Science

Background:

  • Accurate interpretation of laboratory test results relies on standardized reporting practices.
  • Variability in reporting significant figures and reference intervals can lead to misinterpretation and clinical errors.
  • Understanding analytical imprecision is key to establishing reliable reference ranges.

Purpose of the Study:

  • To emphasize the importance of consistent significant figure reporting in laboratory diagnostics.
  • To provide guidance on selecting appropriate reporting intervals based on measurement uncertainty.
  • To improve the clarity and reliability of clinical laboratory data.

Main Methods:

  • Review of current guidelines for reporting laboratory results.
  • Analysis of the impact of significant figures on data interpretation.
  • Evaluation of methods for quantifying and applying measurement uncertainty.

Main Results:

  • Consistent use of significant figures enhances data comparability.
  • Reporting intervals derived from measurement uncertainty improve clinical relevance.
  • Standardized reporting reduces potential for diagnostic errors.

Conclusions:

  • Adherence to consistent significant figures is essential for reliable laboratory reporting.
  • Measurement uncertainty must inform the choice of reporting intervals.
  • Implementing these practices will enhance patient safety and diagnostic accuracy.