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).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Notes
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.
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).
Author information
Authors and Affiliations
Copyright information
© 2014 Terence C. Mills
About this chapter
Cite this chapter
Mills, T.C. (2014). Probability Distributions. In: Analysing Economic Data. Palgrave Texts in Econometrics. Palgrave Macmillan, London. https://doi.org/10.1057/9781137401908_8
Download citation
DOI: https://doi.org/10.1057/9781137401908_8
Publisher Name: Palgrave Macmillan, London
Print ISBN: 978-1-349-48656-4
Online ISBN: 978-1-137-40190-8
eBook Packages: Palgrave Economics & Finance CollectionEconomics and Finance (R0)