Jove
Visualize
Contact Us

Related Concept Videos

What is Population Genetics?01:25

What is Population Genetics?

57.5K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
57.5K
Introduction to Statistics01:17

Introduction to Statistics

45.5K
The science of statistics involves collecting, analyzing, interpreting, and presenting data. The method of collecting, organizing, and summarizing data is called descriptive statistics. The systematic method of drawing inferences from the sample data and predicting unknown characteristics of a population is called inferential statistics.
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...
45.5K
What are Populations and Communities?00:30

What are Populations and Communities?

33.7K
Overview
33.7K
Biostatistics: Overview01:20

Biostatistics: Overview

220
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
220
Conservation of Small Populations02:04

Conservation of Small Populations

13.1K
Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...
13.1K
Overview of Biostatistics in Health Sciences01:19

Overview of Biostatistics in Health Sciences

318
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
318

You might also read

Related Articles

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

Sort by
Same author

Organoid Ethical Typology: varieties of three-dimensional stem cell constructs and the many issues they raise in bioethics.

Biology of the cell·2025
Same author

The modern synthesis and "Progress" in evolution: a view from the journal literature.

History and philosophy of the life sciences·2024
Same author

Gain-of-function research and model organisms in biology.

Journal of medical ethics·2023
Same author

"Batesonian Mendelism" and "Pearsonian biometry": shedding new light on the controversy between William Bateson and Karl Pearson.

History and philosophy of the life sciences·2022
Same author

Of stirps and chromosomes: Generality through detail.

Studies in history and philosophy of science·2022
Same author

Whatever happened to reversion?

Studies in history and philosophy of science·2022
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 Experiment Video

Updated: Jun 5, 2025

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

8.7K

"Population" in biology and statistics.

Nicola Bertoldi1, Charles H Pence2

  • 1Louvain Research Institute for Landscape, Architecture, and Built Environment, Université catholique de Louvain, Rue Wafelaerts, 47-51, bte. B3.01.01, 1060, Bruxelles, Belgium.

Studies in History and Philosophy of Science
|December 14, 2024
PubMed
Summary
This summary is machine-generated.

This study traces the parallel evolution of biological and statistical concepts of "population." It highlights their distinct yet interconnected development, offering insights into scientific conceptual change over a century.

More Related Videos

Fast Colony Forming Unit Counting in 96-Well Plate Format Applied to the Drosophila Microbiome
12:55

Fast Colony Forming Unit Counting in 96-Well Plate Format Applied to the Drosophila Microbiome

Published on: January 13, 2023

6.7K
Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.1K

Related Experiment Videos

Last Updated: Jun 5, 2025

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

8.7K
Fast Colony Forming Unit Counting in 96-Well Plate Format Applied to the Drosophila Microbiome
12:55

Fast Colony Forming Unit Counting in 96-Well Plate Format Applied to the Drosophila Microbiome

Published on: January 13, 2023

6.7K
Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.1K

Area of Science:

  • History and Philosophy of Science
  • Evolutionary Biology
  • Biostatistics

Background:

  • The concept of
  • population
  • is central to evolutionary theory, with its biological definition evolving over time.
  • Less explored is the parallel development of the statistical concept of
  • population
  • during the same historical period.
  • Key figures like Francis Galton and R. A. Fisher influenced both conceptual trajectories.

Purpose of the Study:

  • To investigate the parallel historical development of biological and statistical concepts of
  • population
  • .
  • To analyze the overlaps and divergences between these two conceptual frameworks.
  • To understand scientific conceptual change through the lens of the
  • population
  • concept.

Main Methods:

  • Historical reconstruction of the conceptual development of
  • population
  • in both biology and statistics.
  • Digital analysis of a literature corpus from *Biometrika* and *Journal of Genetics* (1900-1960).

Main Results:

  • Identified significant overlaps and divergences in the development of biological and statistical notions of
  • population
  • .
  • Demonstrated that these two concepts remained relatively distinguishable over the studied six decades.
  • Highlighted the contributions of individuals who engaged with both traditions.

Conclusions:

  • The biological and statistical concepts of
  • population
  • evolved in parallel, exhibiting both continuity and discontinuity.
  • The interplay between these concepts provides a valuable case study for understanding scientific conceptual change.
  • Despite shared historical actors, the distinct trajectories of biological and statistical
  • population
  • concepts underscore the nuanced nature of scientific progress.