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The Hardy distribution for golf hole scores

Published online by Cambridge University Press:  23 January 2015

A. H. G. S. van der Ven*
Affiliation:
Department of Special Education, Radboud University Nijmegen, Nijmegen, The Netherlands

Extract

In an article entitled ‘A Mathematical Theorem about Golf’ [1] G.H. Hardy introduced a simple model of golfing. He assumed, that, at one hole, a golfer has probability p of gaining a stroke with a single shot, and probability q that his shot costs him a stroke. Such strokes will be described as good (G) or bad (B), respectively, leaving probability 1 − p − q for an ordinary (O) stroke (see also [2]). For example, on a par four hole, successive strokes OGO will result in a birdie (a score which is one stroke less than par) and BBGOO in a bogey (a score which is one stroke more than par). In this paper the probability distribution P(Tk = n) will be derived for the number of strokes T a player may take on a hole of par k.

Type
Articles
Copyright
Copyright © The Mathematical Association 2012

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References

1. Hardy, G. H., A mathematical theorem about golf, Math. Gaz., 29 (December 1945) pp. 226227.Google Scholar
2. Cohen, G. L., On a Theorem of G. H. Hardy concerning Golf, Math. Gaz., 86 (March 2002) pp. 120124.Google Scholar
3. Taylor, H. M. and Karlin, S., An introduction to stochastic modeling (3rd edn.) Academic Press (1998).Google Scholar
4. Lord, F. M. and Novick, M. R., Statistical theories of mental test scores, Addison Wesley (1968).Google Scholar
5. Minton, R. B., G. H. Hardy's Golfing Adventure, Mathematics and sports, Gallian, Joseph A., ed. MAA (2010) pp. 169179.Google Scholar
6. Goodman, R., Introduction to stochastic models, Benjamin Cummings (1988).Google Scholar