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Business Statistics: A First Course, Hardcover, 3 Edition by Sharpe, Norean (Used)

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$163.57

Hardcover: 3 Edition
Used: Good
9780134182445
0134182448

Publication Date: 2016-01-15
Publisher: Pearson
Hardcover : 640 pages
Edition: 3 Edition
Author: Sharpe, Norean
ISBN-10: 0134182448
ISBN-13: 9780134182445

Product Description For one-semester courses in business statistics. This text offers a streamlined presentation of .   Better Decisions. Better Results. Business Statistics: A First Course, Third Edition, by Sharpe, De Veaux, and Velleman, narrows the gap between theory and practice―relevant statistical methods empower business students to make effective, data-informed decisions. With their unique blend of teaching, consulting, and entrepreneurial experiences, this dynamic author team brings a modern edge to teaching statistics to business students. Focusing on statistics in the context of real business issues–with an emphasis on analysis and understanding over computation–the text helps students think analytically, prepares them to make better business decisions, and shows them how to effectively communicate results.   Note: You are purchasing a standalone product; MyMathLab does not come packaged with this content. Students, if interested in purchasing this title with MyMathLab, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.   If you would like to purchase boththe physical text and MyMathLab, search for: 0134462726 / 9780134462721           Business Statistics: A First Course Plus NEW MyStatLab with Pearson eText -- Access Card Package Package consists of: 0134182448 / 9780134182445           Business Statistics: A First Course 032192147X / 9780321921475           MyStatLab for Business Statistics -- Glue-In Access Card 0321929713 / 9780321929716           MyStatLab for Business Statistics Sticker   About the Author As a researcher of statistical problems in business and a professor of Statistics at a business school, Norean Radke Sharpe (Ph.D. University of Virginia) understands the challenges and specific needs of the business student. She is currently teaching at the McDonough School of Business at Georgetown University, where she is also Senior Associate Dean and Director of Undergraduate Programs. Prior to joining Georgetown, she taught business statistics and operations research courses to both undergraduate and MBA students for fourteen years at Babson College. Before moving into business education, she taught statistics for several years at Bowdoin College and conducted research at Yale University. Norean is coauthor of the recent text, A Casebook for Business Statistics: Laboratories for Decision Making, and she has authored more than 30 articles–primarily in the areas of statistics education and women in science. Norean currently serves as Associate Editor for the journal Cases in Business, Industry, and Government Statistics. Her research focuses on business forecasting and statistics education. She is also co-founder of DOME Foundation, Inc., a nonprofit foundation that works to increase Diversity and Outreach in Mathematics and Engineering for the greater Boston area. She has been active in increasing the participation of women and underrepresented students in science and mathematics for several years and has two children of her own.   Richard D. De Veaux (Ph.D. Stanford University) is an internationally known educator, consultant, and lecturer. Dick has taught statistics at a business school (Wharton), an engineering school (Princeton), and a liberal arts college (Williams). While at Princeton, he won a Lifetime Award for Dedication and Excellence in Teaching. Since 1994, he has taught at Williams College, although he returned to Princeton for the academic year 2006―2007 as the William R. Kenan Jr. Visiting Professor of Distinguished Teaching. He is currently the C. Carlisle and Margaret Tippit Professor of Statistics at Williams College. Dick holds degrees from Princeton University in Civil Engineering and Mathematics and from Stanford University in Dance Education and Statistics, where he studied with Persi Diaconis. His research focuses on the analysis of large data setsand data mining in science and industry. Dic


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