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

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.