Statistics for Research - Hardcover

Dowdy, Shirley; Wearden, Stanley; Chilko, Daniel

Hardcover

ISBN 10: 047126735X ISBN 13: 9780471267355

Publisher: Wiley-Interscience, 2004

Synopsis

Praise for the Second Edition

"Statistics for Research has other fine qualities besides superior organization. The examples and the statistical methods are laid out with unusual clarity by the simple device of using special formats for each. The book was written with great care and is extremely user-friendly."―The UMAP Journal

Although the goals and procedures of statistical research have changed little since the Second Edition of Statistics for Research was published, the almost universal availability of personal computers and statistical computing application packages have made it possible for today's statisticians to do more in less time than ever before.

The Third Edition of this bestselling text reflects how the changes in the computing environment have transformed the way statistical analyses are performed today. Based on extensive input from university statistics departments throughout the country, the authors have made several important and timely revisions, including:

• Additional material on probability appears early in the text
• New sections on odds ratios, ratio and difference estimations, repeated measure analysis, and logistic regression
• New examples and exercises, many from the field of the health sciences
• Printouts of computer analyses on all complex procedures
• An accompanying Web site illustrating how to use SAS® and JMP® for all procedures

The text features the most commonly used statistical techniques for the analysis of research data. As in the earlier editions, emphasis is placed on how to select the proper statistical procedure and how to interpret results. Whenever possible, to avoid using the computer as a "black box" that performs a mysterious process on the data, actual computational procedures are also given.

A must for scientists who analyze data, professionals and researchers who need a self-teaching text, and graduate students in statistical methods, Statistics for Research, Third Edition brings the methodology up to date in a very practical and accessible way.

About this title

From the Inside Flap:

Praise for the first edition... "Overall, I found this book to be carefully thought-out and attractive. I believe it will satisfy the objective that the authors have set; namely, to give beginning graduate students a good idea of the necessity for statistics in their research. It provides many of the tools they will need." —Journal of Quality Technology "This book meets its stated goals and is readable. I find the use of examples to teach the material to be successful in maintaining the interest level of the reader and would recommend use of the text at the introductory level." —American Scientist Statistics for Research, Second Edition presents the most commonly used statistical techniques in a clear, readable way which can be understood by someone with no previous statistical experience. This survey is written from the viewpoint of the researcher who wants to know how to carry out a procedure, how to interpret the results (whether the analysis is performed by hand or a statistical computer package), and who wants some intuitive understanding of why the procedure works. All procedures are explained in the context of realistic research situations and then summarized in general terms. The usefulness of statistics is illustrated throughout, beginning in the first chapter with inference. Probability and descriptive statistics are developed in the book as needed and do not appear as separate chapters as in most books. Interpretation of the computer output of statistical analyses and nonparametric procedures are integrated with the discussion of each statistical procedure. After a statistical procedure is explained and demonstrated, wherever it is practical to do so, the procedure is followed by demonstrations of how the SAS System is used for computer analysis of the same data. Similarly, each statistical process is followed by a nonparametrical analog to the procedure which has been under discussion. This revised edition has been expanded and contains numerous exercises after each section, over 90 figures, program statements and computer output for the SAS System, bibliographies at the end of chapters, summaries of procedures, review exercises, answers to selected exercises and all review exercises, and 19 statistical tables.

About the Author:

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.

About this edition

• Publisher: Wiley-Interscience
• Publication date: 2004
• ISBN 10: 047126735X
• ISBN 13: 9780471267355
• Binding: Hardcover
• Edition number: 3
• Number of pages: 640