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

How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

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...
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 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...
Fisher's Exact Test01:08

Fisher's Exact Test

Fisher's exact test is a statistical significance test widely used to analyze 2x2 contingency tables, particularly in situations where sample sizes are small. Unlike the chi-squared test, which approximates P-values and assumes minimum expected frequencies of at least five in each cell, Fisher's exact test calculates the exact probability (P-value) of observing the data or more extreme results under the null hypothesis. This feature makes it especially valuable when the assumptions of the...
Calculation of First-Law Quantities II01:24

Calculation of First-Law Quantities II

The first law of thermodynamics establishes that the change in internal energy of a system is given by ΔU = q + w, where q is the heat exchanged, and w is the work performed. For a perfect gas, both internal energy (U) and enthalpy (H) depend solely on temperature. Consequently, for any change of state, whether reversible or irreversible, the internal energy change is determined by integrating the heat capacity at constant volume, and the enthalpy change by integrating the heat capacity at...
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:

You might also read

Related Articles

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

Sort by
Same author

Overperceiving desire, underestimating age: a review of a narrow research lens.

Frontiers in psychology·2026
Same author

Individual differences in inhibitory control may influence how endangered eels deal with river barriers during migration.

Animal cognition·2026
Same author

A cognitive fallacy in a fish? Glass catfish, like humans, make sub-optimal choices in the Monty Hall dilemma.

Cognition·2026
Same author

ManyFishes: a big team science collaboration on fish comparative cognition.

Animal cognition·2025
Same author

Safety in numbers? Evidence of non-social behaviour in the moon jellyfish Aurelia spp.

Animal cognition·2025
Same author

Challenging the central brain dogma: new experimental insights from the moon jellyfish (<i>Aurelia</i> spp.).

The Behavioral and brain sciences·2025
Same journal

Evidence for abstract spatial concept learning in young animals.

Cognition·2026
Same journal

Blurred lines or clear boundaries? Synchrony and social dominance shape domain-specific self-other processing.

Cognition·2026
Same journal

Knowability predicts curiosity and learning.

Cognition·2026
Same journal

Throwing good effort after bad: Evidence for a sunk-cost effect in cognitive effort-based decision-making.

Cognition·2026
Same journal

Cross-linguistic differences in incremental planning under uncertainty.

Cognition·2026
Same journal

Sensory attenuation scales with the strength of action-outcome coupling: A psychophysical study.

Cognition·2026
See all related articles

Related Experiment Video

Updated: Jun 6, 2026

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
07:41

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Published on: July 30, 2019

Number versus continuous quantity in numerosity judgments by fish.

Christian Agrillo1, Laura Piffer, Angelo Bisazza

  • 1Department of General Psychology, University of Padova, Italy. christian.agrillo@unipd.it

Cognition
|November 27, 2010
PubMed
Summary
This summary is machine-generated.

This study found that mosquitofish learned quantity discrimination faster with both numerical and continuous cues. Multiple information sources, not just number processing, appear to aid learning.

More Related Videos

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
09:32

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

Fish Sperm Assessment Using Software and Cooling Devices
07:57

Fish Sperm Assessment Using Software and Cooling Devices

Published on: July 28, 2018

Related Experiment Videos

Last Updated: Jun 6, 2026

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
07:41

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Published on: July 30, 2019

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
09:32

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

Fish Sperm Assessment Using Software and Cooling Devices
07:57

Fish Sperm Assessment Using Software and Cooling Devices

Published on: July 28, 2018

Area of Science:

  • Comparative Cognition
  • Animal Behavior

Background:

  • Number processing is often assumed to be cognitively demanding.
  • Previous studies suggest number processing may occur after continuous variables are controlled.

Purpose of the Study:

  • To test the hypothesis that number processing is more cognitively demanding than processing continuous variables.
  • To investigate how numerical and continuous information influence discrimination learning in mosquitofish.

Main Methods:

  • Mosquitofish were trained to discriminate between two and three items.
  • Three conditions were used: numerical information only, continuous information only, and both.

Main Results:

  • Fish learned discrimination faster when both numerical and continuous information were available.
  • No significant difference in learning rate was observed between numerical-only and continuous-only conditions.

Conclusions:

  • The hypothesis that number processing is more cognitively demanding is not supported.
  • Availability of multiple information sources facilitates discrimination learning.