Stephen M. Stigler is Ernest DeWitt Burton Distinguished Service Professor Emeritus in the Department of Statistics at the University of Chicago.

• Acknowledgements Introduction 1. Statistics and Social Science Karl Pearson and the Cambridge Economists The Average Man is 167 Years Old Jevons as Statistician Jevons on the King-Davenant Law of Demand Francis Ysidro Edgeworth, Statistician 2. Galtonian Ideas Galton and Identification by Fingerprints Stochastic Simulation in the Nineteenth Century The History of Statistics in 1933 Regression toward the Mean Statistical Concepts in Psychology 3. Some Seventeenth-Century Explorers Apollo Mathematicus The Dark Ages of Probability John Craig and the Probability of History 4. Questions of Discovery Stigler's Law of Eponymy Who Discovered Bayee's Theorem? Daniel Bernoulli, Leonhard Euler, and Maximum Likelihood Gauss and the Invention of Least Squares Cauchy and the Witch of Agnesi Karl Pearson and Degrees of Freedom 5. Questions of Standards Statistics and Standards The Trial of the Pyx Normative terminology with W. H. Kruskal References Credits Index

In Statistics on the Table, statistician and historian of science Stephen M. Stigler collects and revises 22 of his scholarly and often witty essays from the past 25 years reflecting the combination of detective work and statistical thinking that characterize his research.

Stephen M. Stigler is Ernest DeWitt Burton Distinguished Service Professor Emeritus in the Department of Statistics at the University of Chicago.

• Acknowledgements Introduction 1. Statistics and Social Science Karl Pearson and the Cambridge Economists The Average Man is 167 Years Old Jevons as Statistician Jevons on the King-Davenant Law of Demand Francis Ysidro Edgeworth, Statistician 2. Galtonian Ideas Galton and Identification by Fingerprints Stochastic Simulation in the Nineteenth Century The History of Statistics in 1933 Regression toward the Mean Statistical Concepts in Psychology 3. Some Seventeenth-Century Explorers Apollo Mathematicus The Dark Ages of Probability John Craig and the Probability of History 4. Questions of Discovery Stigler's Law of Eponymy Who Discovered Bayee's Theorem? Daniel Bernoulli, Leonhard Euler, and Maximum Likelihood Gauss and the Invention of Least Squares Cauchy and the Witch of Agnesi Karl Pearson and Degrees of Freedom 5. Questions of Standards Statistics and Standards The Trial of the Pyx Normative terminology with W. H. Kruskal References Credits Index

In Statistics on the Table, statistician and historian of science Stephen M. Stigler collects and revises 22 of his scholarly and often witty essays from the past 25 years reflecting the combination of detective work and statistical thinking that characterize his research.

Stephen M. Stigler is Ernest DeWitt Burton Distinguished Service Professor Emeritus in the Department of Statistics at the University of Chicago.

• Acknowledgements Introduction 1. Statistics and Social Science Karl Pearson and the Cambridge Economists The Average Man is 167 Years Old Jevons as Statistician Jevons on the King-Davenant Law of Demand Francis Ysidro Edgeworth, Statistician 2. Galtonian Ideas Galton and Identification by Fingerprints Stochastic Simulation in the Nineteenth Century The History of Statistics in 1933 Regression toward the Mean Statistical Concepts in Psychology 3. Some Seventeenth-Century Explorers Apollo Mathematicus The Dark Ages of Probability John Craig and the Probability of History 4. Questions of Discovery Stigler's Law of Eponymy Who Discovered Bayee's Theorem? Daniel Bernoulli, Leonhard Euler, and Maximum Likelihood Gauss and the Invention of Least Squares Cauchy and the Witch of Agnesi Karl Pearson and Degrees of Freedom 5. Questions of Standards Statistics and Standards The Trial of the Pyx Normative terminology with W. H. Kruskal References Credits Index

In Statistics on the Table, statistician and historian of science Stephen M. Stigler collects and revises 22 of his scholarly and often witty essays from the past 25 years reflecting the combination of detective work and statistical thinking that characterize his research.