Applied Statistics in Business and Economics. This item is unavailable.
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Language: English
Published by McGraw-Hill Education, 2012
- Hardcover
- Used
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Hardcover
Condition: Used - Good
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- Title
- Applied Statistics in Business and Economics
- Author
- Doane, David,Seward, Lori
- Publisher
- McGraw-Hill Education
- Publication year
- 2012
- Condition
- Good
- Binding
- hardcover
- Language
- English
- ISBN 10
- 0073521485
- ISBN 13
- 9780073521480
- Edition
- 4th Edition
The 4th Edition of Applied Statistics in Business & Economics provides real meaning to the use of statistics in real world by using real business situations and real data while appealing students to know why rather than just the how. Four distinct objectives have been met to follow this premise:
Objective 1: Communicate the Meaning of Variation in a BusinessContext
Objective 2: Use Real Data and Real Business Applications
Objective 3: Incorporate Current Statistical Practices and Offer Practical Advice
Objective 4: Provide More In-Depth Explanation of the Why and Let the Software Take Care of the How The emphasis of the 4th edition remains the same: thinking about data, choosing appropriate analytic tools, using computers effectively, and recognising limitations of statistics.
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 your class time is more engaging and effective.
"Synopsis" may belong to another edition of this title.
About the Author
Lori E. Seward is an Instructor in the Decisions Sciences Department in the College of Business at The University of Colorado at Denver and Health Sciences Center. She earned her Bachelor of Science and Master of Science degrees in Industrial Engineering at Virginia Tech. After several years working as a reliability and quality engineer in the paper and automotive industries, she earned her PhD from Virginia Tech.
David P. Doane is Professor of Quantitative Methods in Oakland University's Department of Decision and Information Sciences. He earned his Bachelor of Arts degree in mathematics and economics at the University of Kansas and his PhD from Purdue University's Krannert Graduate School.
David P. Doane is Professor of Quantitative Methods in Oakland University's Department of Decision and Information Sciences. He earned his Bachelor of Arts degree in mathematics and economics at the University of Kansas and his PhD from Purdue University's Krannert Graduate School.
"About the title" may belong to another edition of this title.