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Essentials of Statistics for Business and Economics by Anderson, Sweeney, Williams, Camm & Cochran 7E pdf

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  Book Title: Essentials of Statistics for Business and Economics
  Book
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm & James J. Cochran
 
Hardcover: 754 Pages
  Publisher: Cengage Learning; 7th edition (January 1, 2014)
  Language: English
 
ISBN-13: 978-1133629658 
  ISBN-10: 1133629652
  Size: 33.8 MB
  Version: pdf
  
  Book
Description
  Best-selling ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, 7th
Edition gives you a solid foundation in statistical methodologies with the author's signature problem-scenario approach
and clear writing style. Streamlined to focus on core topics, this edition includes new case problems, methods,
applications, and self-test exercises to help you master key formulas and apply statistical methods to inform your
business decision-making from a quantitative perspective.
  Edition does not come with a minitab. 
  
 
Meet the
Author
  Dr. David R. Anderson is a textbook author and Professor Emeritus of
Quantitative Analysis in the College of Business Administration at the University of Cincinnati. He has served as head
of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business
Administration. He was also coordinator of the College's first Executive Program. In addition to introductory statistics
for business students, Dr. Anderson has taught graduate-level courses in regression analysis, multivariate analysis, and
management science. He also has taught statistical courses at the Department of Labor in Washington, D.C. Professor
Anderson has received numerous honors for excellence in teaching and service to student organizations. He is the
coauthor of ten textbooks related to decision sciences and actively consults with businesses in the areas of sampling
and statistical methods. Born in Grand Forks, North Dakota, he earned his BS, MS, and PhD degrees from Purdue
University.
  
  Dr. Dennis J. Sweeney is a textbook author, Professor Emeritus of Quantitative
Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. He also served five
years as head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business
Administration. In addition, he has worked in the management science group at Procter & Gamble and has been a
visiting professor at Duke University. Professor Sweeney has published more than 30 articles in the area of management
science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger,
and Cincinnati Gas & Electric have funded his research, which has been published in MANAGEMENT SCIENCE, OPERATIONS
RESEARCH, MATHEMATICAL PROGRAMMING, DECISION SCIENCES, and other journals. Dr. Sweeney is the coauthor of ten textbooks
in the areas of statistics, management science, linear programming, and production and operations management. Born in
Des Moines, Iowa, he earned a BS degree from Drake University, graduating summa cum laude. He received his MBA and DBA
degrees from Indiana University, where he was an NDEA Fellow.
  
  Dr. Thomas A. Williams is Professor
of Management Science in the College of Business at Rochester Institute of Technology where he was the first chairman of
the Decision Sciences Department. He teaches courses in management science and statistics, as well as graduate courses
in regression and decision analysis. Before joining the College of Business at RIT, Professor Williams served for seven
years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed
the undergraduate program in Information Systems and then served as its coordinator. The co-author of 11 leading
textbooks in the areas of management science, statistics, production and operations management, and mathematics,
Professor Williams has been a consultant for numerous Fortune 500 companies and has worked on projects ranging from the
use of data analysis to the development of large-scale regression models. He earned his B.S. degree at Clarkson
University and completed his graduate work at Rensselaer Polytechnic Institute, where he received his M.S. and Ph.D.
degrees.
  
  Dr. Jeffrey D. Camm is Professor of Quantitative Analysis and head of the Department of
Quantitative Analysis and Operations Management at the University of Cincinnati, where he has been since 1984. He also
has served as a visiting scholar at Stanford University and a visiting professor of Business Administration at the Tuck
School of Business at Dartmouth College. Dr. Camm has published more than 30 papers in the general area of optimization
applied to problems in operations management, and his research has been funded by the Air Force Office of Scientific
Research, The Office of Naval Research, and the U.S. Department of Energy. Among his honors, he was named the Dornoff
Fellow of Teaching Excellence and received the 2006 INFORMS Prize for the Teaching of Operations Research Practice. Dr.
Camm currently serves as editor-in-chief of INTERFACES and is on the editorial board of INFORMS TRANSACTIONS ON
EDUCATION. He received his PhD in Management Science from Clemson University.
  
  James J. Cochran is
Professor of Applied Statistics and the Rogers-Spivey Faculty Fellow in the Department of Information Systems,
Statistics and Management Science at the University of Alabama. Prior to joining the University of Alabama faculty, Dr.
Cochran was Professor of Quantitative Analysis and the Bank of Ruston, Barnes, Thompson, & Thurman Endowed Research
Professor at Louisiana Tech University. He has been a visiting scholar at Stanford University, Universidad de Talca, and
the University of South Africa. Professor Cochran has published over two dozen papers in the development and application
of operations research and statistical methods. He has published his research in MANAGEMENT SCIENCE, THE AMERICAN
STATISTICIAN, COMMUNICATIONS IN STATISTICS—THEORY AND METHODS, EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, JOURNAL
OF COMBINATORIAL OPTIMIZATION, and other professional journals. He received the 2008 INFORMS Prize for the Teaching of
Operations Research Practice and the 2010 Mu Sigma Rho Statistical Education Award. Professor Cochran was elected to the
International Statistics Institute in 2005 and named a Fellow of the American Statistical Association in 2011. A strong
advocate for effective operations research and statistics education as a means of improving the quality of applications
to real problems, he has organized and chaired teaching effectiveness workshops in Uruguay, South Africa, Colombia,
India, Argentina, Kenya, Cameroon, and Croatia. He has served as a statistics and operations research consultant to
numerous companies and not-for-profit organizations. He served as editor-in-chief of INFORMS TRANSACTIONS ON EDUCATION
from 2007 to 2012, and is on the editorial board of INTERFACES, the JOURNAL OF QUANTITATIVE ANALYSIS IN SPORTS, and
ORION. He holds a BS, MS, and MBA from Wright State University and a PhD from the University of Cincinnati.
   
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