Business Statistics (4^th Ed.)

For two-semester business statistics courses.

Relevant statistical methods that empower individuals to make effective, data-informed business decisions

Business Statistics, 4th Edition, by Sharpe, De Veaux, and Velleman, narrows the gap between theory and practice, by covering relevant and real-life statistical methods that help business students make good, data-driven 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 stats in the context of real business issues, with an emphasis on analysis and understanding over computation, the text helps students to be analytical, prepares them to make better business decisions, and shows them how to effectively communicate results.

Also available with MyLab Business Statistics

MyLab? is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student.

Note: You are purchasing a standalone product; MyLab Business Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Business Statistics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.

If you would like to purchase both the physical text and MyLab Business Statistics, search for:

0134684877 / 9780134684871 Business Statistics Plus MyLab Statistics with Pearson eText -- Access Card Package, 4/e

Package consists of:

• 0134705211 / 9780134705217 Business Statistics
• 0134783034 / 9780134783031 MyLab Statistics with Pearson eText -- Standalone Access Card -- for Business Statistics

About our authors

Norean R. Sharpe, PhD, is Dean and the Joseph H. and Maria C. Schwartz Distinguished Chair at The Peter J. Tobin College of Business at St. John's University. As the chief academic officer of the Tobin College of Business, she is responsible for the curriculum for 2500 undergraduate business majors and 600 graduate students in one of seven MS/MBA programs, all supported by more than 150 faculty and staff on the Manhattan; Queens; Staten Island; and Rome, Italy campuses. Within the Tobin College is the Center for Enterprise Risk Management, the Applied Finance Institute, and the Global Business Stewardship Center, as well as the acclaimed School of Risk Management, Insurance, and Actuarial Science.

Dr. Sharpe is an accomplished scholar, with 30 years of teaching experience at Yale University, Bowdoin College, Babson College, and Georgetown University, and with more than 30 scholarly publications in analytics and statistics education. Her research interests include time series analysis, forecasting, analytics, and women's roles in entrepreneurship in the Middle East. Dr. Sharpe earned her BA from Mt. Holyoke College, her MS from the University of North Carolina, and her PhD in Systems Engineering from the University of Virginia.

Richard D. De Veaux (PhD, 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 Engineer

Hallmark features of this title

• Emphasis on better statistical thinking trains students to apply statistics correctly.
  • Focus on checking assumptions and conditions when using statistical procedures is emphasized throughout.
  • Ethics in Action illustrate the judgment needed in statistical analysis. Questions are included for study and reflection.
  • What Can Go Wrong? equips students with the tools to detect common statistical errors and offers practice in debunking misuses of statistics.
• Emphasis on graphing and exploring data helps students uncover structures, patterns, and anomalies. This helps them to raise new questions, perform statistical analysis, and make the best business decision.
• A flexible syllabus allows instructors to select and sequence chapters to suit their needs.