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相关概念视频

Numerical Calculations01:24

Numerical Calculations

378
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...
378
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

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Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
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What is a Mode?01:07

What is a Mode?

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The mode is one of the commonly used measures of a central tendency. It is defined as the most frequent value in a data set.
There can be more than one mode in a data set if multiple values have the same highest frequency. For instance, suppose that the Statistics exam scores of 20 students are: 50; 53; 59; 59; 63; 63; 72; 72; 72; 72; 72; 76; 78; 81; 83; 84; 84; 84; 90; 93. Here, the mode is 72, as it occurs most frequently, five times.
A data set with two modes is called bimodal. For example,...
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Nominal Level of Measurement00:56

Nominal Level of Measurement

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The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...
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Signal and System01:26

Signal and System

711
A signal x(t) is a set of data or a time function representing a variable of interest. Signals typically convey information about a phenomenon, such as atmospheric temperature, humidity, human voice, television images, a dog's bark, or birdsongs. More generally, a signal can be a function of more than one independent variable. For instance, images depend on horizontal and vertical positions and can be regarded as two-dimensional signals. However, this text will focus on one-dimensional...
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Design Example01:23

Design Example

348
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
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Updated: Jul 19, 2025

Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics BM-PROMA
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多式联络在数字通信中的多式联络问题

Bodo Winter1, Tyler Marghetis2

  • 1Department of English Language and Linguistics, University of Birmingham, Birmingham, United Kingdom.

Frontiers in psychology
|August 11, 2023
PubMed
概括
此摘要是机器生成的。

了解数字通信需要同时研究多种模式. 语音,图形和手势之间的相互作用极大地影响了信息传递和解释的方式.

关键词:
数据可视化数据可视化一个手势,一个手势.图表图表图表图表图表图表图表多式联络 多式联络数字认知 数字认知数字通信是数字通信.量化器是一种量化器.

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科学领域:

  • 认知科学 认知科学
  • 沟通研究 沟通研究
  • 信息设计信息设计

背景情况:

  • 有效的数字通信对现代社会至关重要.
  • 数字信息通过各种方式传达,如语音,文字和图表.
  • 这些模式往往被孤立地研究,阻碍了全面的理解.

研究的目的:

  • 倡导研究数字通信的多式联络方法.
  • 识别和分类不同通信模式之间的相互作用.
  • 探索这些相互作用如何影响对数值数据的理解和解释.

主要方法:

  • 对数字通信方式现有研究进行审查和分析.
  • 发展理论框架来描述模式间相互作用.
  • 确定四种关键的交互类型:放大,直接,解释和重新解释.

主要成果:

  • 数字通信本质上涉及多种模式协同工作.
  • 四种不同类型的相互作用塑造了数字信息的处理方式:放大,注意力方向,解释和重新解释.
  • 对模式的孤立研究无法捕捉到数字通信的复杂性.

结论:

  • 多模式视角对于推进数字通信领域至关重要.
  • 了解多式联运动力学为研究和实际应用开辟了新的途径.
  • 该框架为设计更有效的数字信息显示器和沟通策略提供了基础.