Mehr lesen
Develop a strong understanding of the importance of statistics in business with Camm/Cochran/Fry/Ohlmann/Anderson/Sweeney/Williams' MODERN BUSINESS STATISTICS WITH MICROSOFT EXCEL, 8th Edition. Balance real-world applications focusing on the latest version of Microsoft Excel. Develop each statistical technique in an application setting. Master statistical methodology with easy-to-follow presentations of statistical procedures then discuss how to use Excel using step-by-step instructions and screen images. Over 90 new business examples, proven methods and application exercises show how statistics provide insights into business decisions and problems. A problem-scenario approach emphasizes how to apply statistical methods to practical business situations. Check your understanding with new case problems, while MindTap digital resources help you master Excel, Excel Online and R.
Über den Autor / die Autorin
Jeffrey D. Camm is the Inmar Presidential Chair of Analytics and Senior Associate Dean for Faculty in the School of Business at Wake Forest University. Born in Cincinnati, Ohio, he holds a B.S. from Xavier University (Ohio) and a Ph.D. from Clemson University. Prior to joining the faculty at Wake Forest, Dr. Camm served on the faculty of the University of Cincinnati. He has also been 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 45 papers in the general area of optimization applied to problems in operations management and marketing. He has published his research in Science, Management Science, Operations Research, The INFORMS Journal on Applied Analytics and other professional journals. Dr. Camm was named the Dornoff Fellow of Teaching Excellence at the University of Cincinnati and he was the recipient of the 2006 INFORMS Prize for the Teaching of Operations Research Practice. A firm believer in practicing what he preaches, he has served as a consultant to numerous companies and government agencies. Dr. Camm served as editor-in-chief of INFORMS Journal on Applied Analytics and is an INFORMS fellow.
