New and Updated in MyStatLab

• New and updated Chapter Review videos cover important definitions, procedures and concepts from each section by working through examples and exercises from the textbook. This is an excellent resource for students who have missed class or simply wish to review a topic, and for students enrolled in distance learning, individual study, or self-paced learning programs.
• New StatTalk Videos explain the concepts of statistics in a friendly, easy-to-understand way, and can be enjoyed by students of all levels.

New and Updated in the Text

• 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.
• • Chapters 1―4 are streamlined to cover collecting, displaying, summarizing, and understanding data in four chapters, giving students a solid foundation to launch their study of probability and statistics.
  • Chapters 5―9 introduce students to randomness and probability, and then apply these new concepts to sampling as a gateway to the core material on statistical inference. Discussion of probability tees and Bayes’ rule is now in these chapters.
  • Chapters 10―14 cover inference for both proportions and means.
  • Chapters 15―19 cover regression-based models for decision making.
  • Chapters 20―25 discuss special topics that can be selected according to the needs of the course and the instructor’s preferences.

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 sets(and data mining in science and industry. Dick has won both the Wilcoxon and Shewell awards from the American Society for Quality. He is an elected member of the International Statistics Institute (ISI) and a Fellow of the American Statistical Association (ASA). He currently serves on the Board of Directors of the ASA. Dick is well known in industry, having consulted for such Fortune 500 companies as American Express, Hewlett-Packard, Alcoa, DuPont, Pillsbury, General Electric, and Chemical Bank. He was named the “Statistician of the Year” for 2008 by the Boston Chapter of the American Statistical Association for his contributions to teaching, research, and consulting. In his spare time he is an avid cyclist and swimmer. He also is the founder and bass for the doo-wop group, the Diminished Faculty, and is a frequent singer and soloist with various local choirs including the Choeur Vittoria of Paris, France. Dick is the father of four children.

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. He is the founder and CEO of Data Description, Inc. (www.datadesk.com), which supports both of these pr