Connect Access Card for Statistical Techniques in Business and Economics 17e

Author:   Douglas A Lind (Colorado School of Mines) ,  William G Marchal (Coastal Carolina Univ) ,  Samuel A Wathen (Coastal Carolina Univ)
Publisher:   McGraw-Hill Education
Edition:   17th ed.
ISBN:  

9781259924071


Publication Date:   09 May 2017
Format:   Undefined
Availability:   Available To Order   Availability explained
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Connect Access Card for Statistical Techniques in Business and Economics 17e


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McGraw-Hill Connect(R) is a subscription-based learning service accessible online through your personal computer or tablet. Choose this option if your instructor will require Connect to be used in the course. Your subscription to Connect includes the following: - SmartBook(R) - an adaptive digital version of the course textbook that personalizes your reading experience based on how well you are learning the content. - Access to your instructor's homework assignments, quizzes, syllabus, notes, reminders, and other important files for the course. - Progress dashboards that quickly show how you are performing on your assignments and tips for improvement. - The option to purchase (for a small fee) a print version of the book. This binder-ready, loose-leaf version includes free shipping. Complete system requirements to use Connect can be found here: http: //www.mheducation.com/highered/platforms/connect/training-support-students.html

Full Product Details

Author:   Douglas A Lind (Colorado School of Mines) ,  William G Marchal (Coastal Carolina Univ) ,  Samuel A Wathen (Coastal Carolina Univ)
Publisher:   McGraw-Hill Education
Imprint:   McGraw-Hill Education
Edition:   17th ed.
Weight:   0.005kg
ISBN:  

9781259924071


ISBN 10:   1259924076
Publication Date:   09 May 2017
Audience:   General/trade ,  General
Format:   Undefined
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Douglas A. Lind earned his B.S. in Business from Bowling Green State University, and his Ph.D. and M.B.A. from the University of Toledo. He is Emeritus Professor at Coastal Carolina University and the University of Toledo. Dr. Lind is a co-author of Statistical Techniques in Business and Economics with the late Robert D. Mason and William G. Marchal. He has more than 38 years of college teaching experience, including teaching statistics at the introductory, intermediate, and advanced undergraduate levels, as well as graduate courses in statistics and research methods. Dr. Lind is a past recipient of the Tony DeJute Outstanding Teacher Award. William G. Marchal earned his B.S. in mathematics from the University of Dayton, his M.A. in mathematics from Catholic University of America, and his D.Sc. in operations research from George Washington University. He is Emeritus Professor of Information Systems and Operations Management at the University of Toledo College of Business Administration. Dr. Marchal has held visiting appointments at the University of Michigan and at George Mason University. He has worked at the Executive Office of the District of Columbia government, the George Washington University Institute for Management Science, and the U.S. Army Chemical Research and Development Center. He has also served as an associate editor of Naval Research Logistics. Samuel A. Wathen earned his B.S. in forestry from the University of Illinois, an M.B.A. from Oklahoma State University, an M.S. in forest biometrics from Virginia Polytechnic Institute and State University, and his Ph.D. in business administration from the University of Minnesota. He is Distinguished Professor Emeritus of Management and Decision Sciences in the E. Craig Wall Sr. College of Business Administration at Coastal Carolina University. Dr. Wathen's research interests include applied statistics, teaching methods, and manufacturing and service process design. Most recently, he published the article Using Real-Life Major League Baseball Data in an Introductory Statistics Course in the Decision Sciences Journal of Innovative Education.

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