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Beyond Greatness - Four Thoroughbred Legends (Paperback)
Loot Price: R390
Discovery Miles 3 900
You Save: R74
(16%)
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Beyond Greatness - Four Thoroughbred Legends (Paperback)
(1 rating, sign in to rate)
List price R464
Loot Price R390
Discovery Miles 3 900
You Save R74 (16%)
Expected to ship within 10 - 15 working days
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The juvenile, or two-year-old, racing careers of Colin, Man o' War,
Ruffian and Landaluce provide the foundation and focus for
discussing the question of thoroughbred greatness and its measure.
These four thoroughbreds were arguably the best juvenile runners of
the twentieth century. Close on their hooves, pun intended,
however, were the colts Sysonby and Secretariat and the fillies
First Flight, La Prevoyante and Personal Ensign. The latter five
runners are honorably mentioned and also compared in the book. As
in The Greatest Horse of All: A Controversy Examined, basic
statistics are used informally to provide readers a basis for their
own studies in thoroughbred data comparison and evaluation. The
author realizes that many people avoid mathematical ideas like the
plague. Therefore, he has minimized statistical usage to its most
common elements, and he explains these thoroughly for the
uninitiated as the book progresses. Only two of the ten chapters
use statistics to any degree. The text also includes seven figures
and two tables to aid in understanding the statistical concepts. If
one feels remotely comfortable with eight-grade mathematics
concepts, one will have no problem with this material. Relative to
the statistical comparisons, two novel concepts are discussed.
These pertain to addressing the so-called era effect. Many racing
fans continue to argue that horses from different eras cannot
justly be compared. A strong case against this argument is
presented from at least two standpoints. First, a device is
described and suggested to scientifically test and compare the true
relative speeds of two racing surfaces. Second, an inverse use of
the well-known 't test' for comparing the differences between two
or more data sets is presented. The text demonstrates how using
this inverse test can equitably adjust earlier era data so that it
may be fairly compared with later era data.
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My review
Thu, 31 Dec 2020 | Review
by: Johan A.
A different type of racing story, but one which will satisfy dataphiles
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