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Related Concept Videos

Measurement: Derived Units03:02

Measurement: Derived Units

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The International System of Units or SI system, by international agreement, has fixed measurement units for seven fundamental properties: length, mass, time, temperature, electric current, amount of substance, and luminosity. These are called the SI base units.
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Measurement: Standard Units03:38

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Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.
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Uncertainty in Measurement: Reading Instruments02:46

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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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Units and Standards of Measurement01:10

Units and Standards of Measurement

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A physical quantity is defined either by specifying its measurement method or by stating how it is calculated from other measurements. For example, consider a metallic cube. We might define its mass and dimensions by specifying methods for measuring them, such as using a weighing machine and a meter scale. Then, we could define the volume by stating that it is the cube of its side, and we could calculate the density as the mass divided by the volume.
Measurements of physical quantities are...
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Accuracy and Precision01:52

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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.  Highly accurate...
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Interval Level of Measurement00:55

Interval Level of Measurement

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For effective statistical analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
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Updated: May 30, 2025

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
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Discourse on measurement.

Arthur Paul Pedersen1, David Kellen2, Conor Mayo-Wilson3

  • 1Department of Computer Science, Remote Sensing Earth Systems Institute, The City University of New York, New York, NY 10031.

Proceedings of the National Academy of Sciences of the United States of America
|January 27, 2025
PubMed
Summary
This summary is machine-generated.

Measurement literacy is crucial for scientific reasoning and experimental design. Understanding measurement enhances scientific discourse and interpretation across all scientific fields.

Keywords:
errormeasurement literacypolicy-makingscientific reasoning

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Area of Science:

  • Science education
  • Scientific methodology
  • Measurement science

Background:

  • Scientific reasoning and experimental design depend on robust measurement literacy.
  • Conceptual and empirical validation of measurement quantities are essential.
  • Interpreting error in theory construction requires measurement understanding.

Purpose of the Study:

  • To examine how measurement issues are posed and resolved in science.
  • To address potential misunderstandings in scientific measurement.
  • To highlight the role of measurement literacy in scientific discourse.

Main Methods:

  • Literature review and conceptual analysis of measurement in science.
  • Examination of case studies across various scientific disciplines.
  • Analysis of the relationship between measurement literacy and scientific practice.

Main Results:

  • Measurement literacy underpins effective experimental design and validation.
  • Addressing measurement misunderstandings is key to scientific clarity.
  • Examples demonstrate the broad applicability of measurement principles.

Conclusions:

  • Measurement literacy is fundamental for scientific reasoning and progress.
  • It provides a necessary foundation for scientific perspectives and interventions.
  • Promoting measurement literacy enhances the integrity of scientific discourse.