Business Statistics: a First Course Custom Edition for San Diego State University w/CD-Rom

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. * Chapter Openers present a statistical issue in a managerial setting from a well-known company. These scenarios use real data in the context of business disciplines such as marketing, finance, or economics. * Plan/Do/Report Guided Examples provide a model to help students approach and solve any business statistics problem. Reports are frequently presented in the form of a business memo, helping students become familiar with framing and communicating results in a business setting. * A focus on checking assumptions and conditions emphasizes the need to verify assumptions when using statistical procedures. This focus is reiterated throughout the examples and exercises. * Emphasis on graphing and exploring data. The consistent emphasis on the importance of displaying data is evident from the first chapters on understanding data right through to the complex model-building chapters at the end. * The flexible topic coverage features short, modular chapters to accommodate any course objective or syllabus. * Real data is used throughout the book in exercises, examples, and applications. Hundreds of motivating examples are based on current events and well-known companies. Students learn from the authors’ consulting experience and see how statistical thinking is vital to modern business decision making. This book follows the GAISE Guidelines, using real data and emphasizing real-world interpretations of analyses as often as possible. * Math Boxes show the mathematical underpinnings–proofs, derivations, and justifications–of statistical methods and concepts. These boxes are set apart from the main narrative to avoid interrupting the explanation of the topic at hand. * What Can Go Wrong? sections near the end of each chapter prepare students with the tools to detect common statistical errors and offer practice in debunking misuses of statistics. * By Hand Boxes guide students on how to compute and arrive at solutions by hand, without the aid of technology. These optional discussions distill and explain formulas to help students through the calculation of a worked example. * Just Checking questions within sections ask students to stop and think about what they’ve just read. Designed to check student understanding, these questions involve little calculation. Answers are provided at the end of the chapter so students can easily check their work. * Ethics in Action vignettes in every chapter illustrate the judgment needed in statistical analysis. Students learn to identify ethically challenging issues and to propose ethically and statistically sound solutions. Questions are included for study and reflection. * What Have We Learned? sections at the end of each chapter provide a summary and overview of important new concepts discussed, define new terms, and list the skills that students should have acquired from reading the chapter. * Technology Help chapter sections often include annotated examples and offer guidance on using the most common statistics packages (Excel®, MINITAB®, JMP®, Data Desk, and SPSS®) to practice concepts in the chapters and get started with the technology of their choice. * Mini Case Study Projects at the end of each chapter use real data and ask students to investigate a question or make a business decision. Students are asked to define the objective, plan the process, complete the analysis, and report their conclusion. Data for these projects are available on the included CD-ROM and the companion website, and are formatted for multiple software programs. * Exercises within a set progress in difficulty and complexity. Generally, they start with a straightforward application of the chapter ideas. Next, they tackle larger problems but are broken into several parts to guide students through the logic of a complete analysis. Finally, students are asked to synthesize and incorporate their own ideas. Some of more challenging exercises would be ideal for group projects. Large data sets are provided on the accompanying CD-ROM and the companion website.

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