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Statistical Thinking in Sports (Hardcover)
Loot Price: R2,038
Discovery Miles 20 380
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Statistical Thinking in Sports (Hardcover)
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Since the first athletic events found a fan base, sports and
statistics have always maintained a tight and at times mythical
relationship. As a way to relay the telling of a game's drama and
attest to the prodigious powers of the heroes involved, those
reporting on the games tallied up the numbers that they believe
best described the action and best defined the winning edge.
However, they may not have always counted the right numbers. Many
of our hallowed beliefs about sports statistics have long been
fraught with misnomers. Whether it concerns Scottish football or
American baseball, the most revered statistics often have little to
do with any winning edge. Covering an international collection of
sports, Statistical Thinking in Sports provides an accessible
survey of current research in statistics and sports, written by
experts from a variety of arenas. Rather than rely on casual
observation, they apply the rigorous tools of statistics to
re-examine many of those concepts that have gone from belief to
fact, based mostly on the repetition of their claims. Leaving
assumption behind, these researchers take on a host of tough
questions- Is a tennis player only as good as his or her first
serve? Is there such a thing as home field advantage? Do concerns
over a decline in soccer's competitive balance have any merit? What
of momentum-is its staying power any greater than yesterday's win?
And what of pressure performers? Are there such creatures or
ultimately, does every performer fall back to his or her
established normative? Investigating a wide range of international
team and individual sports, the book considers the ability to make
predictions, define trends, and measure any number of influences.
It is full of interesting and useful examples for those teaching
introductory statistics. Although the articles are aimed at general
readers, the serious researcher in sports statistics will also find
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