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Stats: Modeling the World is a modern book in many ways. It carries a core focus on statistical thinking throughout the text, emphasizing how statistics helps us to understand the world. And it utilizes both graphing calculator and computer software technologies in doing Statistics. The topic order is designed to ensure that each new topic fits into the growing structure of understanding that students build. The mantra of Think, Show, and Tell is repeated in every chapter, emphasizing the importance of thinking about a statistics question and reporting our findings. The authors know that the best way to teach is with humor. The book is fun to read. And students report that they actually read it. (Honest!)
Business Statistics
by Norean D Sharpe, Richard D de Veaux, and Paul F Velleman
Professors Norean Sharpe (Babson College), Dick De Veaux (Williams College), and Paul Velleman (Cornell University) have teamed up to provide an innovative new textbook for introductory business statistics courses. These authors have taught at the finest business schools and draw on their consulting experience at leading companies to show students how statistical thinking is vital to modern decision making.
Managers make better business decisions when they understand statistics, and Business Statistics gives students the statistical tools and understanding to take them from the classroom to the boardroom. Hundreds of examples are based on current events and timely business topics. Short, accessible chapters allow for flexible coverage of important topics, while the conversational writing style maintains student interest and improves understanding.
Business Statistics includes Guided Examples that feature the authors' signature Plan/Do/Report problem-solving method. Each worked example shows students how to clearly define the business decision to be made and plan which method to use, do the calculations and make the graphical displays, and finally report their findings, often in the form of a business memo. Every chapter reminds students of What Can Go Wrong and teaches them how to avoid making common statistical mistakes.
