Basic Statistics for Business and Economics - Couverture rigide

Lind, Douglas; Marchal, William; Wathen, Samuel

Couverture rigide

ISBN 10 : 1260187500 ISBN 13 : 9781260187502

Editeur : McGraw-Hill Education, 2018

Synopsis

Basic Statistics for Business and Economics, Ninth Edition provides an introductory survey of descriptive and inferential statistics, using clear and succinct writing. The authors use a step-by-step approach to ease students into statistics concepts, improving motivation and building mastery, with a focus on understanding the application of statistical methods in business and economics. 
The chapters in this edition have been reorganized to better match the corresponding learning objectives. Additionally, the goals of each section have been clarified for both instructors and students. 
A Data Analytics section has been added to the end of each chapter, with new and revised exercises, to develop students' data analytical skills. Students will learn to evaluate, summarize, organize, and analyze information. They also will learn to think critically, improving their ability to interpret and articulate their findings.
Real-world exercises allow students to thoroughly understand how to apply each concept. Three data sets are used throughout the book, providing continuity as the exercises encourage students to build on what they have learned.
Digital resources within Connect help students apply what they've learned and achieve higher outcomes in the course.
Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that class time is more engaging and effective.

A propos du livre

À propos des auteurs

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 RealLife Major League Baseball Data in an Introductory Statistics Course in the Decision Sciences Journal of Innovative Education.

Détails de l'édition

• Éditeur: McGraw-Hill Education
• Date d'édition: 2018
• Langue: anglais
• ISBN 10: 1260187500
• ISBN 13: 9781260187502
• Reliure: Relié
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible