David S. Moore updates his best-selling liberal arts statistics text while maintaining the emphasis on applications to a wide range of fields, from public policy to the sciences. The streamlined Fourth Edition follows the time-proven data analysis approach that established this text as the leader in the field and introduces helpful pedagogical features and new illustrations. "...It will give nonmathematical readers critical insight into the uses and misuses of numbers and quantitative arguments that are increasingly being used in fields ranging from sociology to medicine to literary analysis." L'Enseignement Mathimatique "This book is a 'good read' too and gives useful background information to teachers and students on any beginning course on statistics at A level or college level." Teaching Statistics
David S. Moore is Shanti S. Gupta Distinguished Professor of Statistics, Emeritus, at Purdue University and was 1998 president of the American Statistical Association. He received his A.B. from Princeton and his Ph.D. from Cornell, both in mathematics. He has written many research papers in statistical theory and served on the editorial boards of several major journals. Professor Moore 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 program director for statistics and probability at the National Science Foundation. In recent years, Professor Moore has devoted his attention to the teaching of statistics. He was the content developer for the Annenberg/Corporation for Public Broadcasting college-level telecourse Against All Odds: Inside Statistics and for the series of video modules Statistics: Decisions through Data, intended to aid the teaching of statistics in schools. He is the author of influential articles on statistics education and of several leading texts. Professor Moore has served as president of the International Association for Statistical Education and has received the Mathematical Association of America s national award for distinguished college or university teaching of mathematics. William I. Notz is Professor of Statistics at the Ohio State University. He received his B.S. in physics from the Johns Hopkins University and his Ph.D. in mathematics from Cornell University. His first academic job was as an assistant professor in the Department of Statistics at Purdue University. While there, 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 a co-author of EESEE (the Electronic Encyclopedia of Statistical Examples and Exercises) and co-author of Statistics: Concepts and Controversies.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. "
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Descrizione libro W H Freeman & Co (Sd), 1996. Paperback. Condizione libro: New. 4. Codice libro della libreria DADAX071672863X
Descrizione libro W H Freeman & Co (Sd), 1996. Paperback. Condizione libro: New. Codice libro della libreria P11071672863X
Descrizione libro W H Freeman & Co (Sd). PAPERBACK. Condizione libro: New. 071672863X New Condition. Codice libro della libreria NEW6.1798753
Descrizione libro MacMillan. Condizione libro: New. pp. 526. Codice libro della libreria 4694900