Statistics For Business With Computer Applications

Statistics for Business with Computer Applications is a streamlined, easy to follow text. In each chapter, the authors relate new statistical concepts to previous ones, thus effectively building knowledge and a global understanding of new material. By presenting statistical theory first and then discussing computer applications using Microsoft Excel and Minitab, it presents a balance of theory and practical applications. The authors have written this book by carefully following a traditional sequence, starting with descriptive statistics and ending with quality control. Each chapter begins with statistical theory and then work toward business applications.

This text shows students the usefulness of statistics in the context of real-business problems. Because the book combines an intuitive presentation with numerous pedagogical features, students quickly realize the power of statistics without getting lost in the theory. An early introduction to regression has been highly praised for its motivation. Shiffler and Adams have written an easy-to-read, well-motivated and useful text for business students.

This text shows students the usefulness of statistics in the context of real-business problems. Because the book combines an intuitive presentation with numerous pedagogical features, students quickly realize the power of statistics without getting lost in the theory. An early introduction to regression has been highly praised for its motivation. Shiffler and Adams have written an easy-to-read, well-motivated and useful text for business students.

Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues. Every day, decision-makers face problems that require constructive actions with significant consequences, and regression procedures can prove a meaningful and valuable asset in the decision-making process. This text is designed to help students achieve a full understanding of regression and the many ways it can be used. Taking into consideration current statistical technology, Introductory Regression Analysis focuses on the use and interpretation of software, while also demonstrating the logic, reasoning, and calculations that lie behind any statistical analysis. Furthermore, the text emphasizes the application of regression tools to real-life business concerns. This multilayered, yet pragmatic approach fully equips students to derive the benefit and meaning of a regression analysis. This text is designed to serve in a second undergraduate course in statistics, focusing on regression and its component features. The material presented in this text will build from a foundation of the principles of data analysis. Although previous exposure to statistical concepts would prove helpful, all the material needed for an examination of regression analysis is presented here in a clear and complete form.