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Revision as of 05:57, 10 February 2025


Aggregate
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Field Economics, Statistics, Construction
Introduced by
Date introduced
Key proponents
Related concepts
Applications
Examples
Description
Website [ Official website]


Aggregate refers to a collection or sum of elements or components that are gathered to form a total quantity. In various contexts, aggregates play a crucial role, from construction materials to data analysis in statistics and economic measurements in economics.

In Construction

In the construction industry, aggregate refers to a broad category of coarse to medium-grained particulate material used in construction, including sand, gravel, crushed stone, slag, recycled concrete, and geosynthetic aggregates. Aggregates are a component of composite materials such as concrete and asphalt concrete; the aggregate serves as a reinforcement to add strength to the overall composite material.

In Economics

In economics, an aggregate is a total amount or quantity used to analyze economic data. Economic aggregates include measures such as national income, GDP, and other broad economic indicators which summarize data across many different categories into simpler economic indicators.

In Statistics

In statistics, aggregate data refers to data combined from several measurements. When data is aggregated, groups of observations are replaced with summary statistics based on those observations. This process is used in various statistical analyses, including the calculation of means, medians, and other statistical measures to represent a larger set of data efficiently.

Importance

Aggregates are essential because they help in simplifying complex data sets, making it easier to interpret and analyze information. In construction, they are vital for the structural integrity of buildings and infrastructure. In economics and statistics, aggregates allow for the analysis of economic conditions and trends, helping policymakers and businesses make informed decisions.

See Also



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   This article is a economics-related stub. You can help WikiMD by expanding it!




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   This article is a statistics-related stub. You can help WikiMD by expanding it!