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Probability Distributions

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Analysing Economic Data

Part of the book series: Palgrave Texts in Econometrics ((PTEC))

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Abstract

A new concept, the random variable, is introduced to exploit fully the power of probability. Discrete random variables, those that take only a finite number of values, are focused upon, along with their associated probability distributions, which are essentially a listing of the values the random variable can take accompanied by their probabilities of occurrence. The concepts of expected value and variance of a random variable are developed. Some particular probability distributions are introduced that relate to types of probability experiments that occur in a variety of situations, most notably the binomial and Poisson (the latter being interpreted as an approximation to the former).

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Notes

  1. The rather unusual name, ‘Student’, given to this distribution is a consequence of it being proposed by William Sealy Gosset (1876–1937), one of the most famous statisticians of the 20th century: see Student, ‘The probable error of the mean’, Biometrika 6 (1908), 1–25.

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  2. As an employee of Guinness, the famous Irish brewer of stout, Gosset was precluded from publishing under his own name and thus took the above pseudonym: see ‘T at dear Mr Gosset’, chapter 3 of David Salsburg, The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century (New York, Henry Holt, 2001).

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© 2014 Terence C. Mills

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Mills, T.C. (2014). Probability Distributions. In: Analysing Economic Data. Palgrave Texts in Econometrics. Palgrave Macmillan, London. https://doi.org/10.1057/9781137401908_8

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