Inhaltsangabe
The Basic Practice of Statistics (BPS) is designed to give a working knowledge of the ideas and tools of practical statistics. Through accessible language and engaging examples and exercises based on real data, BPS explains both the mechanics and the concepts needed for statistical work. The Sixth Edition maintains the textbook's focus on statistical reasoning and real-life situations and data, while updating the organisation, exercises and examples to better reflect the needs and experiences of today's student. Here are a few highlights of the revised Sixth Edition: Updated Exercises and Examples: More than 20 percent of all examples and exercises have been revised or updated. Contemporary situations and up-to-date data cover a number of fields, including environmental studies, agriculture, business and finance, technology, biology, psychology, health and medicine, education, sports, and entertainment. New examples and exercises draw on topics such as texting while driving, CO2 emissions, the Gulf oil spill, and how weather influences tipping. Each chapter also features a new set of 'Exploring the Web' exercises that encourage readers to go online to analyze data, investigate statistical issues, and learn about new applications of statistics. Improved coverage: In addition to updates and improvements to coverage throughout the text, the topic of inference has been expanded to include separate chapters on confidence intervals (Chapter 14), tests of significance (Chapter 15), and inference in practice (Chapter 16). The revised format allows students to focus on the basics of each procedure separately before discussing cautions about the use of both in practice. Helpful navigation: Chapter summaries now consist of two sections: The first section, 'Chapter Specifics,' summarizes the material presented in the chapter. The second section, 'Link It,' relates the chapter content to material in previous and upcoming chapters. Together, 'Chapter Specifics' and 'Link It' show how individual chapters relate to one another and to the overall practice of statistics.
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DAVID S. MOORE is the Shanti S. Gupta Distinguished Professor of Statistics at Purdue University, USA. He has written many research papers in statistical theory and served on the editorial boards of several major journals. He is an elected fellow of the American Statistical Association and of the Institute of Mathematical Statistics, and an elected member of the International Statistical Institute. He has served as Programme Director for Statistics and Probability at the National Science Foundation and was the 1998 President of the American Statistical Association. WILLIAM I. NOTZ is Professor of Statistics at the Ohio State University, USA.His first academic job was as an assistant professor in the Department of Statistics at Purdue University where he taught the introductory concepts course with Professor Moore and as a result of this experience he developed an interest in statistical education. Professor Notz is also a co-author of EESEE (the Electronic Encyclopedia of Statistical Examples and Exercises). Professor Notz's research interests have focused on experimental design and computer experiments. He is the author of several research papers and of a book on the design and analysis of computer experiments. He is an elected fellow of the American Statistical Association. He has served as the editor of the journal Technometrics and as editor of the Journal of Statistics Education. He has served as the Director of the Statistical Consulting Service, as acting chair of the Department of Statistics for a year, and as an Associate Dean in the College of Mathematical and Physical Sciences at the Ohio State University. He is a winner of the Ohio State University's Alumni Distinguished Teaching Award. MICHAEL A. FLIGNER is Professor Emeritus at the Ohio State University, where he also was Vice Chair of the Department for over 10 years and served as Director of the Statistical Consulting Service. He has done consulting work with several large corporations in Central Ohio. Professor Fligner's research interests are in Nonparametric Statistical methods and he received the Statistics in Chemistry award from the American Statistical Association for work on detecting biologically active compounds. He received a Fulbright scholarship under the American Republics Research program to work at the Charles Darwin Research Station in the Galapagos Islands. He has been an Associate Editor of the Journal of Statistical Education.
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