Statistics
(Mathematics)

Statystyka

Bachelor's

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⇑Statistics at PG

Field of studies: Mathematics

Language: Polish Studies in Polish

Kind of studies: full-time studies, part-time studies

University website: pg.edu.pl/en/university

⇑Definitions and quotes

Statistics

Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data. In applying statistics to, for example, a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model process to be studied. Populations can be diverse topics such as "all people living in a country" or "every atom composing a crystal". Statistics deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments. See glossary of probability and statistics.

Wikipedia

Statistics

Statistics has been the most successful information science.
Those who ignore Statistics are condemned to reinvent it.

Attributed to Bradley Efron by Jerome H. Friedman (April 2001). "The Role of Statistics in the Data Revolution?". International Statistical Review 69: 5-10.

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Statistics

Statistical thinking will one day be as necessary for efficient citizenship as the ability to read or write.

Attributed to H. G. Wells by Darrell Huff in How to Lie with Statistics (1954), epigraph The great body of physical science, a great deal of the essential fact of financial science, and endless social and political problems are only accessible and only thinkable to those who have had a sound training in mathematical analysis, and the time may not be very remote when it will be understood that for complete initiation as an efficient citizen of one of the new great complex world-wide States that are now developing, it is as necessary to be able to compute, to think in averages and maxima and minima, as it is now to be able to read and write. [HG Wells 1911, Mankind in the Making 2041]

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Statistics

I wish that people would be persuaded that psychological experiments, especially those on the complex functions, are not improved (by large studies); the statistical method gives only mediocre results; some recent examples demonstrate that. The American authors, who love to do things big, often publish experiments that have been conducted on hundreds and thousands of people; they instinctively obey the prejudice that the persuasiveness of a work is proportional to the number of observations. This is only an illusion.

Alfred Binet (1903). L’Etude experimentale de l’intelligence. Paris: Schleicher Freres and Cie. p. 299; As cited in: Carson (1999, 360)

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