Nature and nurture; In the wilderness; Mathematical statistics; Rothamsted Experimental Station; Tests of significance; The design of experiments; The genetical theory of natural selection; The evolution of dominance; The role of a statistician; Galton Professor of Eugenics; Evolutionary ideas; In the United States and India; Blood groups in man; Losses of war; Arthur Balfour Professor of genetics; The biometrical movement; Scientific inference; Retirement.

An exclusive insight -- by Fisher's daughter -- of a man whose achievements in mathematical statistics continue to dominate the age. Traces his mobilization and extension of the resources of mathematics to solve the problems of estimation, analysis and design of experiments, and inductive inference. Reflecting the vitality of Fisher's immense pleasure in the process of thinking, the play of ideas, and the solution of puzzles, this biography introduces a complex and fascinating personality.

How the most important statistical method used in many of the sciences doesn't pass the test for basic common sense

Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong. Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics. You'll find advice on: –Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan –How to think about p values, significance, insignificance, confidence intervals, and regression –Choosing the right sample size and avoiding false positives –Reporting your analysis and publishing your data and source code –Procedures to follow, precautions to take, and analytical software that can help Scientists: Read this concise, powerful guide to help you produce statistically sound research. Statisticians: Give this book to everyone you know. The first step toward statistics done right is Statistics Done Wrong.

From the reviews: "This collection of essays surveys the most important of Fisher's papers in various areas of statistics. ... ... the monograph will be a useful source of reference to most of Fisher's major papers; it will certainly provide background material for much vigorous discussion." #Australian Journal of Statistics#1

Selected and introduced by Richard Dawkins, The Oxford Book of Modern Science Writing is a celebration of the finest writing by scientists for a wider audience - revealing that many of the best scientists have displayed as much imagination and skill with the pen as they have in the laboratory.This is a rich and vibrant collection that captures the poetry and excitement of communicating scientific understanding and scientific effort from 1900 to the present day. Professor Dawkins has included writing from a diverse range of scientists, some of whom need no introduction, and some of whoseworks have become modern classics, while others may be less familiar - but all convey the passion of great scientists writing about their science.

A timely and accessible synthesis of the strengths, weaknesses and reality of science through the eyes of a practicing scientist.