Statistics for Research 3e - Dowdy; Chilko; Wearden
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Learn how to select the proper statistical procedure and interpret results. A must for those who need a self-teaching text in statistical methods. The Third Edition of this bestselling text brings the methodology up to date in a very practical and accessible way and reflects how the changes in the computing environment have transformed the way statistical analyses are performed today. The authors have made several important and timely revisions, including: Additional material on probability New sections on odds ratios, ratio and difference estimations, repeated measure analysis, and logistic…mehr

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Produktbeschreibung
Learn how to select the proper statistical procedure and interpret results. A must for those who need a self-teaching text in statistical methods. The Third Edition of this bestselling text brings the methodology up to date in a very practical and accessible way and reflects how the changes in the computing environment have transformed the way statistical analyses are performed today. The authors have made several important and timely revisions, including: Additional material on probability New sections on odds ratios, ratio and difference estimations, repeated measure analysis, and logistic regression Printouts of computer analyses on all complex procedures An accompanying Website illustrating how to use SAS(r)and JMP(r)for all procedures
Autorenporträt
SHIRLEY DOWDY, PhD, has held appointments as Professor of Statistics at West Virginia University and Professor of Research Methodology at St. Louis University, where she was also the Dean of the College of Arts and Sciences and from which she is now retired. She received her PhD from the University of Notre Dame. STANLEY WEARDEN, PhD, is currently a professor in the Department of Statistics at West Virginia University in Morgantown, West Virginia, where he previously served for four years as Chairman of the Department of Statistics and Computer Science. He earned his PhD in population genetics from Cornell University and also held the position of Fulbright Professor of Statistics at the University of the West Indies. DANIEL CHILKO, MS, is an Associate Professor of Statistics at West Virginia University and has contributed his expertise to several books in the field. He received his MS from Rutgers University.
Rezensionen
"The text is easy to read, and students will enjoy the wide range of examples and illustrations...a nice improvement over the first and second editions." (Technometrics, February 2005)