Business Statistics, 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 be analytical, prepares them to make better business decisions, and shows them how to effectively communicate results.
Key Features
- Grounded in modern business, this text provides a real-world context for statistical concepts, preparing students to be successful in the business world.
- Practice and support: Study tools throughout the text prepare students to analyze and interpret data.
- Integrated technology: Optional coverage helps students use real statistics software
New to This Edition
- Increased focus on core material. Discussions have been tightened to get students into the material as quickly as possible, focusing increasingly n the central ideas and core material.
- Updated examples reflect the changing world and the marked changes in the U.S. and world economies.
- NEW! More than half of the Ethics in Action features are updated. Ethically and statistically sound alternative approaches and a link to the American Statistical Association’s Ethical Guidelines are now presented in the Instructor's Solutions Manual, making the Ethics features suitable for assignment or class discussion.
- Enhanced Technology Help with expanded Excel® 2013 coverage. We've updated Technology Help and added detailed instructions for Excel 2013 to almost every chapter. Increased coverage of Excel includes screenshots and, in Technology Help sections, guidance for using Excel 2010 to demonstrate how to use Excel to perform statistical analysis.
- Improved organization and a streamlined design make the text more accessible than ever. While retaining the text’s successful “data first” presentation of topics, the authors have improved the way the book is organized.
Contents
- Chapter 1. Data and Decisions (E-Commerce)
- Chapter 2. Displaying and Describing Categorical Data (Keen, Inc.)
- Chapter 3. Displaying and Describing Quantitative Data (AIG)
- Chapter 4. Correlation and Linear Regression (Amazon.com)
- Chapter 5. Randomness and Probability (Credit Reports and the Fair Isaacs Corporation)
- Chapter 6. Random Variables and Probability Models (Metropolitan Life Insurance Company)
- Chapter 7. The Normal and other Continuous Distributions (The NYSE)
- Chapter 8. Surveys and Sampling (Roper Polls)
- Chapter 9. Sampling Distributions and Confidence Intervals for Proportions (Marketing Credit Cards: The MBNA Story)
- Chapter 10. Testing Hypotheses about Proportions (Dow Jones Industrial Average)
- Chapter 11. Confidence Intervals and Hypothesis Tests for Means (Guinness & Co.)
- Chapter 12. More About Tests and Intervals (Traveler’s Insurance)
- Chapter 13. Comparing Two Means (Visa Global Organization)
- Chapter 14. Inference for Counts: Chi-Square Tests (SAC Capital)
- Chapter 15. Inference for Regression (Nambé Mills)
- Chapter 16. Understanding Residuals (Kellogg’s)
- Chapter 17. Multiple Regression (Zillow.com)
- Chapter 18. Building Multiple Regression Models (Bolliger and Mabillard)
- Chapter 19. Time Series Analysis (Whole Food Market)
- Chapter 20. Design and Analysis of Experiments and Observational Studies (Capital One)
- Chapter 21. Quality Control (Sony)
- Chapter 22. Nonparametric Methods (i4cp)
- Chapter 23. Decision Making and Risk (Data Description, Inc.)
- Chapter 24. Introduction to Data Mining (Paralyzed Veterans of America)
Appendices
- A. Answers
- B. Photo Acknowledgments
- C. Tables and Selected Formulas
- Index
About the Authors
- 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.
- 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.
- Paul F. Velleman (Ph.D. Princeton University) has an international reputation for innovative statistics education. He designed the Data Desk® software package and is also the author and designer of the award-winning ActivStats® multimedia software, for which he received the EDUCOM Medal for innovative uses of computers in teaching statistics and the ICTCM Award for Innovation in Using Technology in College Mathematics.
Book Details
- Hardcover: 976 pages
- Publisher: Pearson; 3 edition (February 2, 2014)
- Language: English
- ISBN-10: 0321925831
- ISBN-13: 978-0321925831
- Product Dimensions: 10.9 x 8.5 x 1.5 inches
- List Price: $222.33