Prague, Czech Republic

Statistics

Language: English Studies in English
Subject area: mathematics and statistics
University website: www.vse.cz
Years of study: 4
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.
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]
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.
Statistics
In the 1930s English statistical theory was beginning to travel, with contributions from, amongst others, Hotelling and Snedecor in America and Darmois in France, but its home was still in England where there were four important centres: University College London, Rothamsted Experimental Station, Edinburgh University and Cambridge University with University College and Rothamsted far in the lead. Although Cambridge University was slow to adopt modern statistical theory, Cambridge men–Karl Pearson, Edmund Whittaker and Ronald Fisher–had put the other places on the statistical map. University College was the most established centre and its importance went back to 1893 when Karl Pearson, the professor of applied mathematics, first collaborated with Raphael Weldon, the professor of zoology on a subject they called “biometry.” There was a second surge in the “English statistical school” associated with R. A. Fisher who went to work at Rothamsted in 1919.
Aldrich, John (December 2009). "England and Continental Probability in the Inter-War Years". Electronic Journal for History of Probability and Statistics 5 (2): 5-6.
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