Modern Business Statistics with Microsoft Excel
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Modern Business Statistics with Microsoft Excel by Dennis Sweeney
Discusses and develops each statistical technique in an application setting. This title emphasizes the applications of Excel[registered] while focusing on the statistical methodology. It includes step-by-step instructions and screen captures that clarify student learning.
Sweeney, Dennis J.: - Dennis J. Sweeney is Professor Emeritus of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. Born in Des Moines, Iowa, he earned a BSBA degree from Drake University and his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow. Professor Sweeney has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney served as Head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration at the University of Cincinnati. Professor Sweeney has published more than 30 articles and monographs in the area of management science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger and Cincinnati Gas & Electric have funded his research, which has been published in Management Science, Operations Research, Mathematical Programming, Decision Sciences and other journals. Professor Sweeney has co-authored ten textbooks in the areas of statistics, management science, linear programming and production and operations management.
| SKU | Nicht verfügbar |
| ISBN 13 | 9781285433301 |
| ISBN 10 | 1285433300 |
| Titel | Modern Business Statistics with Microsoft Excel |
| Autor | Williams Thomas |
| Buchzustand | Nicht verfügbar |
| Bindungsart | Hardback |
| Verlag | South-Western College Pub |
| Erscheinungsjahr | 2014-01-01 |
| Hinweis auf dem Einband | Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden. |
| Hinweis | Nicht verfügbar |