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Bundle: Essentials of Business Analytics, Loose-leaf Version, 2nd + MindTap Business Statistics, 1 term (6 months) Printed Access Card 2nd Edition

4.4 4.4 out of 5 stars 84 ratings

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Business Analytics
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Students save money when purchasing bundled products. This bundle contains a loose-leaf version of Essentials of Business Analytics, 2nd Edition and access to MindTap Business Statistics for 1 term (6 months) via printed access card. MindTap Business Statistics�provides you with the tools you need to better manage�your limited time�you can complete assignments�whenever and wherever�you are ready to learn with course material specially customized for you by your instructor and streamlined in one�proven, easy-to-use interface.
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Editorial Reviews

About the Author

Jeffrey D. Camm is the Inmar Presidential Chair of Analytics and Senior Associate Dean of Business Analytics programs 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, Interfaces 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 an operations research consultant to numerous companies and government agencies. From 2005 to 2010, Dr. Camm served as editor-in-chief of INFORMS Journal of Applied Analytics (formerly Interfaces). In 2017, he was named an INFORMS fellow.

James J. Cochran is Professor of Applied Statistics, the Rogers-Spivey Faculty Fellow and Associate Dean for Faculty and Research at the University of Alabama. Born in Dayton, Ohio, he earned his B.S., M.S., and M.B.A. degrees from Wright State University and his Ph.D. from the University of Cincinnati. Dr. Cochran has served at The University of Alabama since 2014 and has been a visiting scholar at Stanford University, Universidad de Talca, the University of South Africa and Pole Universitaire Leonard de Vinci. Dr. Cochran has published more than 45 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, Annals of Operations Research, European Journal of Operational Research, Journal of Combinatorial Optimization, INFORMS Journal of Applied Analytics and Statistics and Probability Letters. He was the 2008 recipient of the INFORMS Prize for the Teaching of Operations Research Practice and the 2010 recipient of the Mu Sigma Rho Statistical Education Award. Dr. Cochran was elected to the International Statistics Institute in 2005 and named a fellow of the American Statistical Association in 2011. He received the Founders Award in 2014 and the Karl E. Peace Award in 2015 from the American Statistical Association. In 2017 he received the American Statistical Association�s Waller Distinguished Teaching Career Award and was named a fellow of INFORMS. In 2018 he received the INFORMS President�s Award. A strong advocate for effective statistics and operations research education as a means of improving the quality of applications to real problems, Dr. Cochran has organized and chaired teaching workshops throughout the world.

Product details

  • Publisher ‏ : ‎ Cengage Learning; 2nd edition (March 8, 2016)
  • Language ‏ : ‎ English
  • Product Bundle ‏ : ‎ 870 pages
  • ISBN-10 ‏ : ‎ 1337128635
  • ISBN-13 ‏ : ‎ 978-1337128636
  • Item Weight ‏ : ‎ 3 pounds
  • Dimensions ‏ : ‎ 7.75 x 1 x 9.75 inches
  • Customer Reviews:
    4.4 4.4 out of 5 stars 84 ratings

Customer reviews

4.4 out of 5 stars
4.4 out of 5
84 global ratings

Top reviews from the United States

Reviewed in the United States on October 11, 2022
Book came in great condition. Thank you!
Reviewed in the United States on September 12, 2021
Very helpful. Was less expensive than the college book store
Reviewed in the United States on June 1, 2022
Great condition.
Reviewed in the United States on March 17, 2019
Exactly what I needed for class. perfect condition. cheaper here on Amazon than anywhere I looked.
Reviewed in the United States on February 11, 2017
This is one of the best textbooks I have used in the last 4 years of college. And that is saying a lot since I don't like studying stats.
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Reviewed in the United States on July 3, 2017
A Step-by-step book that lets you understand exactly what business analytics entails. Helps untangle the cords of confusion out there...
Reviewed in the United States on May 8, 2019
It was used and didn’t include the Mindtap code needed for class assignments.
Reviewed in the United States on December 26, 2018
The book was very clean and not marked up

Top reviews from other countries

AXFam
3.0 out of 5 stars It has everything, but doesn't always teach well
Reviewed in Canada on February 4, 2018
This text was part of my MBA program, and it's decent, but not amazing. It's what I would call a great reference book, but not necessarily a great teaching book. By that I mean that all the info you want and need is there... But it's not always explained well. I found that I had to supplement the textbook descriptions with YouTube videos and lots of discussions with classmates to really understand the content.

Another negative: most modern textbooks come with online accounts where you can study and test yourself (quizzes, etc). This textbook has nothing like that. Its "online companion" is simply Excel files with the datasets used in the examples.