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Aggregate data is high-level data which is acquired by combining individual-level data. For instance, the output of an industry is an aggregate of the firms’ individual outputs within that industry. [1] Aggregate data are applied in statistics, data warehouses, and in economics. There is a distinction between aggregate data and individual data.
The Common Education Data Standards (CEDS) project is a United States national collaborative effort [1] to develop voluntary, common data standards for a key set of education data elements to streamline the exchange, comparison, and understanding of data within and across P-20W institutions and sectors. [2]
Aggregators who agree with information providers to extract data without using an OFX standard may reach a lower level of consensual relationship; therefore, "screen scraping" may be used to obtain account data, but for business or other reasons, the aggregator may decide to obtain prior consent and negotiate the terms on which customer data is ...
Statistics educators have cognitive and noncognitive goals for students. For example, former American Statistical Association (ASA) President Katherine Wallman defined statistical literacy as including the cognitive abilities of understanding and critically evaluating statistical results as well as appreciating the contributions statistical thinking can make.
A typical example is the aggregate production function. [2] Another famous problem is Sonnenschein-Mantel-Debreu theorem. Most of macroeconomic statements comprise this problem. Examples of aggregates in micro- and macroeconomics relative to less aggregated counterparts are: Food vs. apples; Price level and real GDP vs. the price and quantity ...
SOURCE: Integrated Postsecondary Education Data System, SUNY at Albany (2014, 2013, 2012, 2011, 2010). Read our methodology here. HuffPost and The Chronicle examined 201 public D-I schools from 2010-2014. Schools are ranked based on the percentage of their athletic budget that comes from subsidies. Income sources are adjusted for inflation.
While the analysis of educational data is not itself a new practice, recent advances in educational technology, including the increase in computing power and the ability to log fine-grained data about students' use of a computer-based learning environment, have led to an increased interest in developing techniques for analyzing the large amounts of data generated in educational settings.
Spoilers ahead! We've warned you. We mean it. Read no further until you really want some clues or you've completely given up and want the answers ASAP. Get ready for all of today's NYT ...