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Numerical Calculations01:24

Numerical Calculations

1.1K
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...
1.1K
Rules for Significant Figures01:44

Rules for Significant Figures

33.9K
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...
33.9K
Significant Figures in Calculations00:58

Significant Figures in Calculations

16.4K
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:
16.4K
Uncertainty in Measurement: Significant Figures03:34

Uncertainty in Measurement: Significant Figures

79.9K
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.
79.9K
5-Number Summary01:04

5-Number Summary

5.5K
In a dataset, the 5-number summary includes the minimum data value, the data value of the first quartile, the median data value or data value of the second quartile, the data value of the third quartile, and the maximum data value. These 5 data values can be visualized as a box and whisker plot.
In a box plot, the minimum and maximum data values represent the lower and upper whiskers in the graph, and the median is designated as the center of the box in the chart. The first quartile and third...
5.5K
Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

50.1K
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...
50.1K

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Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
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有太多的数字吗?

F James Rohlf1

  • 1Departments of Anthropology and Ecology & Evolution, Stony Brook University, Stony Brook, NY 11794, USA.

Systematic biology
|October 17, 2025
PubMed
概括
此摘要是机器生成的。

数字分类学方法显著发展,影响了生物系统学领域. 这本个人资料反映了它们的早期发展和在"系统动物学"杂志中的接受.

关键词:
早期的计算机.系统学的历史系统学.蚊子 蚊子 蚊子数字分类学数字分类学

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科学领域:

  • 系统动物学 系统动物学
  • 生物多样性科学 生物多样性科学
  • 进化生物学 进化生物学

背景情况:

  • "系统动物学"杂志一直是讨论分类方法的重要场所.
  • 数字分类学在20世纪中叶成为了一种重要的方法.
  • 这些方法的发展与生物科学的更广泛变化同时发生.

研究的目的:

  • 提供关于数值分类学兴起的个人历史视角.
  • 在系统学中记录定量方法的接受和整合.
  • 为了反思分类学和75年来系统动物学杂志的演变.

主要方法:

  • 基于个人经验的历史叙述.
  • 对系统动物学的早期出版物和讨论的回顾.
  • 对分类学实践进行反思分析.

主要成果:

  • 数字分类学方法最初遇到了阻力,但获得了接受.
  • "系统动物学"杂志在传播和讨论这些新方法方面发挥了关键作用.
  • 75年来,分类学哲学和实践的重大转变是显而易见的.

结论:

  • 数学方法的整合从根本上改变了系统生物学.
  • 个人账户为科学进步和社区动态提供了宝贵的见解.
  • 分类学工具和期刊的不断演变对于推动生物学理解至关重要.