The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century - ISBN: 0805071342


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		"No instance exists of a person's writing two language perfectly. That will always appear to be his native language which was most familiar to him in his youth." - Thomas Jefferson (1743 - 1826)

	The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century
	by David Salsburg

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Product Details

Format: Paperback, 352 pages

Edition: 2ND REP

Publisher: Henry Holt & Company, Incorporated

ISBN: 0805071342

Release Date: Jan 3, 2001

In Brief
In The Lady Tasting Tea, David Salsburg tells the fascinating story of how statistics has revolutionized science in the twentieth century. Leading the reader through a maze of randomness and probability, the author clearly explains the nature of statistical models, where they came from, how they are applied to scientific problems, and whether they are true descriptions of reality. Salsburg also discusses the flaws inherent in a statistical model and the serious problems they've created for scientists as we enter the twenty-first century.

From The Publisher
An insightful, revealing history of the magical mathematics that transformed our world.

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. 11 b&w illustrations]]>

Annotation
...nature of statistical models, where they came from, how they are applied to scientific problems, and whether they are true descriptions of reality...

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Accreditation
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.

	Author's Preface	VII
Chapter 1	The Lady Tasting Tea	1
Chapter 2	The Skew Distributions	9
Chapter 3	That Dear Mr. Gosset	25
Chapter 4	Raking Over the Muck Heap	33
Chapter 5	"Studies in Crop Variation"	41
Chapter 6	"The Hundred-Year Flood"	53
Chapter 7	Fisher Triumphant	61
Chapter 8	The Dose that Kills	73
Chapter 9	The Bell-Shaped Curve	83
Chapter 10	Testing the Goodness of Fit	93
Chapter 11	Hypothesis Testing	107
Chapter 12	The Confidence Trick	117
Chapter 13	The Bayesian Heresy	125
Chapter 14	The Mozart of Mathematics	137
Chapter 15	The Worm's-Eye View	151
Chapter 16	Doing Away with Parameters	161
Chapter 17	When Part is Better than the Whole	169
Chapter 18	Does Smoking Cause Cancer?	181
Chapter 19	If You Want the Best Person...	195
Chapter 20	Just a Plain Texas Farm Boy	207
Chapter 21	A Genius in the Family	217
Chapter 22	The Picasso of Statistics	229
Chapter 23	Dealing with Contamination	237
Chapter 24	The Man Who Remade Industry	247
Chapter 25	Advice from the Lady in Black	257
Chapter 26	The March of the Martingales	267
Chapter 27	The Intent to Treat	275
Chapter 28	The Computer Turns upon Itself	285
Chapter 29	The Idol with Feet of Clay	293
	Afterword	311
	Timeline	313
	Bibliography	317
	Index	327

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Keywords
Science/Mathematics, Science, History, History & Philosophy, Probability & Statistics - General, Mathematical Physics, 20th century, History, Science, Statistical methods