Work

Statistical Quantities in Population Comparison: A Triadic Framework of Absolute, Relative, and Average Measures

Year: 2025

Type: article

Abstract: Population analysis is essential in various scientific disciplines, including sociology, public health, and economics. This paper explores the application of absolute, relative, and average statistical quantities as tools for comparative population studies. By analyzing demographic, economic, and health-related datasets, this research establishes how these statistical concepts provide meaningful insights into disparities and similarities across populations. The study introduces a unique triadic framework that integrates these measures for a more nuanced and comprehensive interpretation of population characteristics.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15195203

Authors: Nangare, Sahil, Moldoev, Murzali

Institution: Osh State University

Language: English

Topic: Socioeconomic and Demographic Analysis

Subfield: Management, Monitoring, Policy and Law

Field: Environmental Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6912185690

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