
This magnificent book is the first comprehensive history of Statistics from its beginnings around 1700 to its emergence as a distinct and mature discipline around 1900. Stephen M. Stigler shows how Statistics arose from the interplay of Mathematical Concepts and the needs of several Applied Sciences including Astronomy, Geodesy, Experimental Psychology, Penetics, and Sociology.
He addresses many intriguing questions: How did Scientists learn to combine measurements made under different conditions? And how were they led to use Probability Theory to measure the accuracy of the result? Why were Statistical Methods used successfully in Astronomy long before they began to play a significant role in the Social Sciences? How could the introduction of Least Squares predate the discovery of Regression by more than 80 years? On what grounds can the major works of men such as Bernoulli, De Moivre, Bayes, Quetelet, and Lexis be considered partial failures, while those of Laplace, Galton, Edgeworth, Pearson, and Yule are counted as successes? How did Galton's Probability Machine (the Quincunx) provide him with the key to the major advance of the last half of the 19th Century? Stigler's emphasis is upon how, when, and where the methods of Probability Theory were developed for measuring uncertainty in Experimental & Observational Science, for reducing Uncertainty, and as a conceptual framework for Quantative Studies in the Social Sciences. He describes with care the scientific context in which the different methods evolved and identifies the problems (Conceptual or Mathematical) that retarded the growth of Mathematical Statistics and the conceptual developments that permitted major breakthroughs. Statisticians, Historians of Science, and Social & Behavioral Scientists will gain from this book a deeper understanding of the use of Statistical Methods and a better grasp of the promise and limitations of such techniques. The product of ten years of research, The History of Statistics will appeal to all who are interested in the Humanistic Study of Science. 

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. 

In 2000, the Clay Foundation announced a historic competition: whoever could solve any of seven extraordinarily difficult mathematical problems, and have the solution acknowledged as correct by the experts, would receive $1 million in prize money. There was some precedent for doing this: In 1900 the mathematician David Hilbert proposed twentythree problems that set much of the agenda for mathematics in the twentieth century. The Millennium Problems  chosen by a committee of the leading mathematicians in the world  are likely to acquire similar stature, and their solution (or lack of it) is likely to play a strong role in determining the course of mathematics in the twentyfirst century. Keith Devlin, renowned expositor of mathematics and one of the authors of the Clay Institute's official description of the problems, here provides the definitive account for the Mathematically interested reader.


