The Lady Tasting Tea

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Short description: Book by David Salsburg about the history of modern statistics
The Lady Tasting Tea
The Lady Tasting Tea - David Salsburg.jpg
English edition
AuthorDavid Salsburg
CountryUSA
LanguageEnglish
SubjectStatistics
GenreHistory of science and technology
PublisherHenry Holt and Company
Publication date
May 1, 2002
Media typePrint (paperback)
Pages352 pages
ISBNISBN:0-8050-7134-2

The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century (ISBN:0-8050-7134-2) is a book by David Salsburg about the history of modern statistics and the role it played in the development of science and industry.[1][2]

The title comes from the "lady tasting tea", an example from the famous book, The Design of Experiments, by Ronald A. Fisher. Regarding Fisher's example, the statistician Debabrata Basu wrote that "the famous case of the 'lady tasting tea'" was "one of the two supporting pillars [...] of the randomization analysis of experimental data".[3]

Summary

The book discusses the statistical revolution which took place in the twentieth century, where science shifted from a deterministic view (Clockwork universe) to a perspective concerned primarily with probabilities and distributions and parameters. Salsburg does this through a collection of stories about the people who were fundamental in the change, starting with men like R.A. Fisher and Karl Pearson. He discusses at length how many of these people had their own philosophy of statistics, and in particular their own understanding of statistical significance.[4] Throughout, he introduces in a very nontechnical fashion a variety of statistical ideas and methods, such as maximum likelihood estimation and bootstrapping.

Reception

The book was generally well-received, receiving coverage in a variety of medical[5][6] and statistical journals.[7] Reviewers from the medical field enjoyed Salsburg's coverage of Fisher's opposition to early research on the health effects of tobacco. Critics disagreed with certain opinions that Salsburg voiced, like his barebones portrayal of Bayesian statistics and his seeming disdain for pure mathematics.[1] Nevertheless, almost all reviewers appreciated the interesting read and recommended the book to people in their field as well as a general audience.

List of scholars mentioned

The book discusses a wide variety of statisticians, mathematicians, as well as other scientists and scholars. This is a list of those mentioned, broken down into groups of chapters.

Chapters 1-9

Chapters 10-19

Chapters 20-29

References

  1. 1.0 1.1 Mehlman, Marc H. (2003-03-22). "The Lady Tasting Tea by David Salsburg". The MAA Online book review column. The Mathematical Association of America. http://mathdl.maa.org/mathDL/19/?pa=reviews&sa=viewBook&bookId=68520. 
  2. Morgan, Peter (2002-09-17). "The Left Atrium". Canadian Medical Association Journal. http://www.cmaj.ca/cgi/content/full/167/6/674. 
  3. Page 575 in:
    • Basu, D. (Sep 1980). "Randomization Analysis of Experimental Data: The Fisher Randomization Test". Journal of the American Statistical Association 75 (371): 575–582. doi:10.2307/2287648. 
  4. Higgs, Megan (2013). "Do We Really Need the S-word?". American Scientist 101 (1): 6. doi:10.1511/2013.100.6. ISSN 0003-0996. http://dx.doi.org/10.1511/2013.100.6. 
  5. "Statistics, History: The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century" (in en). JAMA 286 (10): 1238. 2001-09-12. doi:10.1001/jama.286.10.1238-JBK0912-3-1. ISSN 0098-7484. http://jama.jamanetwork.com/article.aspx?doi=10.1001/jama.286.10.1238-JBK0912-3-1. 
  6. Potter, John D. (2001). "The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century" (in en). Nature Medicine 7 (8): 885–886. doi:10.1038/90908. ISSN 1078-8956. http://www.nature.com/articles/nm0801_885b. 
  7. Jackson, Dennis L. (2003). "Review of The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century, by David Salsburg" (in en). Structural Equation Modeling 10 (4): 651–655. doi:10.1207/S15328007SEM1004_10. ISSN 1070-5511. http://www.tandfonline.com/doi/abs/10.1207/S15328007SEM1004_10. 

External links