Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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

29.1K
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...
29.1K
What is a Mode?01:07

What is a Mode?

19.2K
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,...
19.2K
Nominal Level of Measurement00:56

Nominal Level of Measurement

29.7K
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...
29.7K
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...
711
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...
348

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Investigating the analytical robustness of the social and behavioural sciences.

Nature·2026
Same author

Reply to Kardosh and Sklar: Prioritizing domain-general explanations of misperception.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

In search of meaning.

Science (New York, N.Y.)·2026
Same author

An information-theoretic foreshadowing of mathematicians' sudden insights.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Iconic Words Are Associated With Iconic Gestures.

Cognitive science·2025
Same author

Reply to: Not just the alveolar trill, but all "r-like" sounds are associated with roughness across languages, pointing to a more general link between sound and touch.

Scientific reports·2025
Same journal

Characterizing facilitators and barriers to Hypoglycemic Confidence among patients with diabetes: a qualitative descriptive study.

Frontiers in psychology·2026
Same journal

Psychometric evaluation and refinement of the 7DHW questionnaire for the German population.

Frontiers in psychology·2026
Same journal

Editorial: Ethical leadership and workplace equity: mediating and moderating mechanisms in emotional labor and well-being.

Frontiers in psychology·2026
Same journal

How organizational support promotes teacher professional recognition: a perspective on teachers' autonomous learning and teaching abilities.

Frontiers in psychology·2026
Same journal

From "performance competition arena" to "psychological exemption zone": psychological safety mechanisms in reverse mobility.

Frontiers in psychology·2026
Same journal

General and sport-specific mental toughness in university students: associations with personality traits and physical activity.

Frontiers in psychology·2026
See all related articles

Related Experiment Video

Updated: Jul 19, 2025

Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics BM-PROMA
10:58

Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics BM-PROMA

Published on: August 28, 2021

4.5K

Multimodality matters in numerical communication.

Bodo Winter1, Tyler Marghetis2

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

Frontiers in Psychology
|August 11, 2023
PubMed
Summary
This summary is machine-generated.

Understanding numerical communication requires studying multiple modalities together. Interactions between speech, graphs, and gestures significantly shape how information is conveyed and interpreted.

Keywords:
data visualizationgesturegraphsmultimodalitynumerical cognitionnumerical communicationquantifiers

More Related Videos

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.4K
Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram
09:00

Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram

Published on: July 7, 2023

3.6K

Related Experiment Videos

Last Updated: Jul 19, 2025

Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics BM-PROMA
10:58

Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics BM-PROMA

Published on: August 28, 2021

4.5K
Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.4K
Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram
09:00

Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram

Published on: July 7, 2023

3.6K

Area of Science:

  • Cognitive Science
  • Communication Studies
  • Information Design

Background:

  • Effective numerical communication is vital for modern society.
  • Numerical information is conveyed through various modalities like speech, writing, and graphs.
  • These modalities are often studied in isolation, hindering a comprehensive understanding.

Purpose of the Study:

  • To advocate for a multimodal approach to studying numerical communication.
  • To identify and categorize the interactions between different communication modalities.
  • To explore how these interactions influence the understanding and interpretation of numerical data.

Main Methods:

  • Review and analysis of existing research on numerical communication modalities.
  • Theoretical framework development to describe inter-modal interactions.
  • Identification of four key interaction types: amplify, direct, explain, and reinterpret.

Main Results:

  • Numerical communication inherently involves multiple modalities working in concert.
  • Four distinct types of interactions shape how numerical information is processed: amplification, attention direction, explanation, and reinterpretation.
  • Isolated study of modalities fails to capture the complexity of numerical communication.

Conclusions:

  • A multimodal perspective is essential for advancing the field of numerical communication.
  • Understanding inter-modal dynamics opens new avenues for research and practical applications.
  • This framework provides a basis for designing more effective numerical information displays and communication strategies.