Statistics for Business and Economics FROM THE PUBLISHER
This market leading text offers a solid, comprehensive, applications-oriented approach. Written by authors who are well-known and highly regarded in the field, the text provides sound methodological development. The discussion and development of each technique is presented in an application setting, with the statistical results providing insights to decisions and solutions to problems. The text offers proven accuracy that has led instructors to adopted it simply for its superior examples and exercises alone.
SYNOPSIS
Intended for undergraduates studying business administration or economics, this textbook serves as a conceptual introduction to the field of statistics. Topics include data, descriptive statistics, probability, sampling, interval estimation, hypothesis testing, variance, regression, forecasting, nonparametric methods, and decision analysis. The text emphasizes applications--especially applications of data analysis--and assumes mathematical knowledge only at the level of algebra. A companion CD contains a chapter on simple random sampling, cluster sampling, and systematic random sampling. The authors teach at the University of Cincinnati and the Rochester Institute of Technology. Annotation ©2004 Book News, Inc., Portland, OR
FROM THE CRITICS
Booknews
New edition of a text that provides a conceptual and application-oriented introduction to the field of statistics and its many applications. Anderson and Dennis J. Sweeney (both of the U. of Cincinnati) and Thomas A. Williams (Rochester Institute of Technology) present 21 chapters that cover topics including data and statistics; descriptive statisticstabular, graphical, and numerical methods; discrete and continuous probability, and sampling distributions; interval estimation; hypothesis testing; statistical inference; tests of goodness of fit and independence; analysis of variance and experimental design; simple linear and multiple regression; model building; index numbers; forecasting; nonparametric methods; statistical methods for quality control; and sample survey. Annotation c. Book News, Inc., Portland, OR (booknews.com)
AUTHOR DESCRIPTION
David R. Anderson is Professor of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. Born in Grand Forks, North Dakota, he earned his B.S., M.S., and Ph.D. degrees from Purdue University. Professor Anderson has served as Head of the Department of Quantitative Analysis and Operations Management and as the Associate Dean of the College of Business Administration. In addition, he was the coordinator of the College's first Executive Program.
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