Loose-Leaf for Applied Statistics in Business and Economics
Seiten
2018
|
6th ed.
McGraw-Hill Education (Verlag)
978-1-260-16567-8 (ISBN)
McGraw-Hill Education (Verlag)
978-1-260-16567-8 (ISBN)
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Applied Statistics in Business and Economics provides real meaning to the use of statistics in the real world by using real business situations and real data while appealing students to know the 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 Business Context
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 6th edition remains the same: thinking about data, choosing appropriate analytic tools, using computers effectively, and recognizing limitations of statistics.
Objective 1: Communicate the Meaning of Variation in a Business Context
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 6th edition remains the same: thinking about data, choosing appropriate analytic tools, using computers effectively, and recognizing limitations of statistics.
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. 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.
| Erscheinungsdatum | 04.03.2018 |
|---|---|
| Verlagsort | OH |
| Sprache | englisch |
| Maße | 213 x 272 mm |
| Gewicht | 1451 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
| ISBN-10 | 1-260-16567-1 / 1260165671 |
| ISBN-13 | 978-1-260-16567-8 / 9781260165678 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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