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    Essential Statistics in Business and Economics

    ISBN-10: 0077312368
    ISBN-13: 9780077312367
    Author(s): David P. Doane, Lori E. Seward
    Description: Applied Statistics in Business And Economics, 2e provides a comprehensive introduction to statistics concepts and applications in business and economics. The text and student CD provide state of the art integration of technology in order to focus on  More...
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    List Price: $97.99
    Edition: 2nd
    Publisher: McGraw-Hill Higher Education
    Binding: Mixed Media
    Pages: 617
    Size: 8.80" wide x 11.10" long x 1.10" tall
    Weight: 3.300
    Language: English

    Applied Statistics in Business And Economics, 2e provides a comprehensive introduction to statistics concepts and applications in business and economics. The text and student CD provide state of the art integration of technology in order to focus on the important practical concepts and applications as opposed to mechanics..

    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 in 1966 and his PhD from Purdue University's Krannert Graduate School in 1969. His research and teaching interests include applied statistics, forecasting, and statistical education. He is co-recipient of three National Science Foundation grants to develop software to teach statistics and to create a computer classroom. He is a long-time member of the American Statistical Association and INFORMS, serving in 2002 as President of the Detroit ASA chapter, where he remains on the board. He has consulted with government, health care organizations, and local firms. He has published articles in many academic journals and is the author of LearningStats (McGraw-Hill, 2003, 2007) and co-author of Visual Statistics (McGraw-Hill, 1997, 2001).

    Lori E. Seward is a Senior Instructor of Systems in the Leeds School of Business at the University of Colorado—Boulder. She earned her Bachelor of Science and Master of Science degrees in Industrial Engineering at Virginia Tech in 1984 and 1985. After several years working as a reliability and quality engineer in the paper and automotive industries she earned her PhD from Virginia Tech in 1998. She joined the Leeds faculty in 1998. Her teaching interests include applied statistics, quality management, and supply chain management and she has taken the lead in using advanced technology tools for enhancing the classroom and learning experience in large lecture courses. She served as the Chair of the INFORMS Teachers'Workshop for the annual 2004 meeting. Her most recent article was published in The InternationalJournal of Flexible Manufacturing Systems (Kluwer Academic Publishers, 2004).

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