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Introduction to Pearson (1900) On the Criterion that a Given System of Deviations from the Probable in the Case of a Correlated System of Variables is Such that it Can be Reasonably Supposed to have Arisen from Random Sampling

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Breakthroughs in Statistics

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Abstract

In 1984, the journal Science published a series of articles listing 20 important scientific breakthroughs of the 20th century: relativity, the quantum theory, and so on. One article in the series was devoted to the paper we are about to discuss. Written by Ian Hacking, it is referenced below. Karl Pearson’s paper is the fifth in a series of his early papers, most of which are concerned with the mathematical problems of biological evolution. Insofar as this paper is the first of the series that is not primarily concerned with biological problems, it could be taken to represent the break into modern, 20th century statistics.

Before 1900 [the date of this paper by Karl Pearson] we see many scientists of different fields developing and using techniques we now recognise as belonging to modern statistics. After 1900 we begin to see identifiable statisticians developing such techniques into a unified logic of empirical science that goes far beyond its component parts. —Stephen J. Stigler; The History of Statistics.

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Reference

  • Hacking. I. (1984). Trial by Number. In Science 84, pp. 69–70.

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  • Stigler. Stephen J. (1986) The History of Statistics: The Measurement of Uncertainty, Belknap. Harvard University Press, p. 361.

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© 1992 Springer-Verlag New York, Inc.

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Barnard, G.A. (1992). Introduction to Pearson (1900) On the Criterion that a Given System of Deviations from the Probable in the Case of a Correlated System of Variables is Such that it Can be Reasonably Supposed to have Arisen from Random Sampling. In: Kotz, S., Johnson, N.L. (eds) Breakthroughs in Statistics. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4380-9_1

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  • DOI: https://doi.org/10.1007/978-1-4612-4380-9_1

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-94039-7

  • Online ISBN: 978-1-4612-4380-9

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