Writing as a biologist and a behavioralist, Professor Hogben examines the underlying assumptions of a statistical theory. He sets down, with the clarity, brilliance, and force one expects from him, the views of the scientist who uses the formulae of statistics. He distinguishes four elements in today's theory of statistics: a calculus of error, a calculus of aggregates, a calculus of exploration, and a calculus of judgments, and he examines all of them according to their origins, contents, and validity. By tracing current conflicts of doctrine to their sources, he makes clear to the younger generation of research workers how important it is to examine and to question the credentials of principles invoked in the course of their work.
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Lancelot Hogben was born in Southsea, Hampshire, England, in 1895 and was educated at Trinity College, Cambridge University, where he obtained his M.S. degree. he received his D.Sc. degree from London Unversity and an honorary LL.D. from Birmingham Univesity. His other popular books include Science for the Citizen and (with Frederick Bodmer) The Loom of Language.
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Paperback. Condition: new. Paperback. Writing as a biologist and a behavioralist, Professor Hogben examines the underlying assumptions of a statistical theory. He sets down, with the clarity, brilliance, and force one expects from him, the views of the scientist who uses the formulae of statistics. He distinguishes four elements in today's theory of statistics: a calculus of error, a calculus of aggregates, a calculus of exploration, and a calculus of judgments, and he examines all of them according to their origins, contents, and validity. By tracing current conflicts of doctrine to their sources, he makes clear to the younger generation of research workers how important it is to examine and to question the credentials of principles invoked in the course of their work. Statistical theory is of importance to the plain man as well as to the trained mathematician. Scientists, sociologists, and administrators show an increasing disposition to exploit the newest statistical devices with little concern for their mathematical credentials or the formal assumptions contained within them. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780393335590
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