Statistics—The Word

  • William S. Peters
Part of the Springer Texts in Statistics book series (STS)

Abstract

Two views about quantification are expressed by a scientist and a poet. First, Lord Kelvin:

When you can measure what you arc speaking about, and express it in numbers, then you know something about it; but when you cannot measure it, when you cannot express it in numbers, your knowledge is of a meager and unsatisfactory kind.

Keywords

Gambling Problem Inferential Statistic Defective Product Sample Percentage Chest Girth 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Winston Churchill, The Gathering Storm, Houghton Mifflin. New York. 1948. p. 70.Google Scholar
  2. 2.
    Pierre Simon de Laplace, A Philosophical Essay on Probabilities (translated from the sixth French edition). Dover, New York, 1951, p. 167Google Scholar
  3. 3.
    Richard Von Miscs, Probability, Statistics, and Truth, Allen and Unwin, London. 1939.Google Scholar
  4. 4.
    Helen M. Walker, Studies in the History of Statistical Method, Williams and Wilkins. Baltimore, MD, 1929, p. 31.Google Scholar
  5. 5.
    Ibid., p. 40.Google Scholar
  6. 6.
    Frank H. Hankins, Adolphe Quetelet as Statistician, Columbia University Press, New York, 1908, p. 122Google Scholar
  7. 7.
    Edwin G. Boring, A History of Experimental Psychology, 2nd cd., Appleton- Ccntury-Crofts, New York, 1950, p. 461.Google Scholar
  8. 8.
    Francis Galton, “Classification of Men According to Their Natural Gifts,” in The World of Mathematics, Vol. 2 ( James R. Newman, ed.) Simon and Schuster, New York, 1956, pp. 1173–1189.Google Scholar
  9. 9.
    Karl Pearson, Grammar of Science, Dent, London. 1937.Google Scholar

Copyright information

© Springer-Verlag New York Inc. 1987

Authors and Affiliations

  • William S. Peters
    • 1
  1. 1.Robert O. Anderson Schools of ManagementUniversity of New MexicoAlbuquerqueUSA

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