The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
The Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.
Practical Business Statistics was written as a response to instructors who need a book that motivates business students to learn by showing how each concept and method can be used by managers in the real world, with many current data examples from business and government web sites presented in a well-written and lively style. Examples are from finance, sales, accounting, advertising, planning, marketing, and other areas of business. Each chapter begins with an overview, showing why the subject is important to business, and ends with a comprehensive summary, with key words, before the questions, problems, database exercises, projects, and cases. The projects at the end of each chapter bring statistics closer to students' needs and interests by letting them choose the data set from their work experience (or interests from sources including the Internet, current publications, or their company) while the cases encourage students to think about deeper applications of statistics. Users and reviewers have applauded Siegel's writing style and clear explanations. While technically accurate, the book is light on mathematical details, and instead concentrates on the understanding and use of statistics by managers.Diverse examples with actual data helps motivate students by showing how statistics is used to help managers understand dataDirect and informal writing style, while maintaining technical rigorCases show how statistical thinking can be useful as an integrated part of a larger business activityEnd of Chapter Materials reinforce learning with summary, key words, questions, problems, database exercises, and projects