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\iteman{ZMATH 2010f.00909}
\itemau{Teves, Christopher J.; Burchenal, Joseph T.; Haluska, Daniel M.; Sommers, Paul M.}
\itemti{A Poisson model for ``hitting for the cycle'' in Major League Baseball.}
\itemso{J. Recreat. Math. 35(2006), No. 2, 112-116 (2009).}
\itemab
Summary: In a recent article in this journal, Campbell et al. showed that the Poisson probability distribution provides an excellent fit to the data on no-hit games in Major League Baseball, especially during the period 1920-1959. Hitting for the cycle (that is, when a batter hits a single, double, triple, and home run in the same game) is another rare event in Major League Baseball. And, here too, the Poisson probability distribution given by $p(X=x)=\frac{e^{-\mu}\mu ^x}{x!}$ , $x=0,1,2,\dots$ where x denotes the number of ballplayers who ``hit for the cycle'' in a given season provides a remarkably good fit.
\itemrv{~}
\itemcc{K60 A20 M90}
\itemut{recreational mathematics; mathematical applications; sport; distributions; probability theory; stochastics}
\itemli{}
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