Essentials of Statistics for Business & Economics 9th Edition by David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Michael J. Fry, and Jeffrey W. Ohlmann is a comprehensive resource that delves into statistical methodologies tailored for business and economic applications. This edition emphasizes a problem-scenario approach, integrating over 350 real business examples, current cases, and hands-on exercises to demonstrate how statistical information influences business decisions.
 
By integrating robust research, evidence-based practices, and compelling narratives, the text fosters a deeper understanding of topics such as data analysis, probability distributions, hypothesis testing, regression analysis, and more. It is an invaluable resource for students and professionals seeking to enhance their knowledge in business statistics.
 
Essentials of Statistics for Business & Economics 9th Edition by David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Michael J. Fry, and Jeffrey W. Ohlmann, published by Cengage Learning in 2019, is available in interactive PDF format, with Print ISBN: 0357045432, 9780357045435 and eTextbook ISBN: 0357686542, 9780357686546. This 9th edition is categorized under Business & Economics/Statistics, making it an invaluable asset for those aiming to excel in statistical applications within business and economics. Purchase this eBook and save up to 80% at Ebookworm.
 
About the Author(s):
 
David R. Anderson: David R. Anderson is a leading author and professor emeritus of quantitative analysis in the College of Business Administration at the University of Cincinnati. Dr. Anderson has served as head of the Department of Quantitative Analysis and Operations Management and as associate dean of the College of Business Administration. He has received numerous honors for excellence in teaching and service to student organizations. Dr. Anderson is the co-author of ten well-respected textbooks related to decision sciences and actively consults with businesses in the areas of sampling and statistical methods.
 
Dennis J. Sweeney: Dennis J. Sweeney is a leading author and professor emeritus of quantitative analysis and operations management at the University of Cincinnati. Dr. Sweeney has served as head of the Department of Quantitative Analysis and Operations Management and has published numerous articles in the area of management science and statistics.
 
Thomas A. Williams: Thomas A. Williams is a leading author and professor emeritus of management science in the College of Business at Rochester Institute of Technology. Dr. Williams has served as chairman of the Decision Sciences Department and has published articles in the areas of management science and statistics.
 
Jeffrey D. Camm: Jeffrey D. Camm is a leading author and professor of business analytics and associate dean of business analytics at Wake Forest University. Dr. Camm has published numerous papers in the areas of optimization and applied mathematical programming.
 
James J. Cochran: James J. Cochran is a leading author and professor of applied statistics, the Rogers-Spivey Faculty Fellow, and associate dean for research at the University of Alabama. Dr. Cochran has published numerous papers in the areas of statistics, operations research, and analytics.
 
Michael J. Fry: Michael J. Fry is a leading author and professor of operations, business analytics, and information systems at the University of Cincinnati. Dr. Fry has published numerous papers in the areas of operations research and analytics.
 
Jeffrey W. Ohlmann: Jeffrey W. Ohlmann is a leading author and associate professor of business analytics at the University of Iowa. Dr. Ohlmann has published numerous papers in the areas of optimization and analytics.