Description: Quantitative indicators are metrics that provide numerical information about a particular phenomenon, allowing for the measurement, analysis, and comparison of data in an objective manner. These indicators are fundamental in applied statistics, as they facilitate informed decision-making based on evidence. They are characterized by their ability to represent data in numerical form, enabling clear and precise interpretation. Additionally, they are essential for identifying trends, patterns, and relationships between variables, which is crucial in various disciplines such as economics, health, education, and marketing. Quantitative indicators can be simple, such as counts or averages, or complex, such as composite indices that integrate multiple variables. Their relevance lies in providing a solid foundation for evaluating results and setting objectives, allowing researchers and professionals to conduct comparative analyses and forecasts. In summary, quantitative indicators are key tools in applied statistics, as they transform data into useful and understandable information, facilitating the understanding of complex phenomena and the formulation of effective strategies.
