David Salsburg

Lady Tasting Tea -- David Salsburg, Paperback

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An insightful, revealing history of the magical mathematics that transformed our world. The Lady Tasting Tea is not a book of dry facts and figures, but the history of great individuals who dared to look at the world in a new way.

At a summer tea party in Cambridge, England, a guest states that tea poured into milk tastes different from milk poured into tea. Her notion is shouted down by the scientific minds of the group. But one man, Ronald Fisher, proposes to scientifically test the hypothesis. There is no better person to conduct such an experiment, for Fisher is a pioneer in the field of statistics.

The Lady Tasting Tea spotlights not only Fisher's theories but also the revolutionary ideas of dozens of men and women which affect our modern everyday lives. Writing with verve and wit, David Salsburg traces breakthroughs ranging from the rise and fall of Karl Pearson's theories to the methods of quality control that rebuilt postwar Japan's economy, including a pivotal early study on the capacity of a small beer cask at the Guinness brewing factory. Brimming with intriguing tidbits and colorful characters, The Lady Tasting Tea salutes the spirit of those who dared to look at the world in a new way.

Author: David Salsburg
Publisher: Holt McDougal
Published: 05/01/2002
Pages: 352
Binding Type: Paperback
Weight: 0.65lbs
Size: 8.10h x 5.40w x 1.00d
ISBN: 9780805071344

About the Author

David Salsburg is a retired pharmaceutical company statistician and currently works as a private consultant. He has been a member of the American Statistics Association since 1964 and has taught at Harvard, Connecticut College, the University of Connecticut, the University of Pennsylvania, Rhode Island College, and Trinity College. During his latter years of teaching, Salsburg became Senior Research Fellow at Pfizer, Inc., in the Central Research Department.

Product Tags:

David Salsburg, History, History & Philosophy, Holt Paperbacks, Mathematics, Paperback, Probability & Statistics, Science, Stochastic Processes

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