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This is a college algebra-level textbook written to provide the kind of mathematical knowledge and experiences that students will need for courses in other fields, such as biology, chemistry, business, finance, economics, and other areas that are heavily dependent on data either from laboratory experiments or from other studies. The focus is on the fundamental mathematical concepts and the realistic problem-solving via mathematical modeling rather than the development of algebraic skills that might be needed in calculus.

Functions, Data, and Models presents college algebra in a way that differs from almost all college algebra books available today. Rather than going over material covered in high school courses the Gordons teach something new. Students are given an introduction to data analysis and mathematical modeling presented at a level that students with limited algebraic skills can understand. The book contains a rich set of exercises, many of which use real data. Also included are thought experiments or what if questions that are meant to stretch the student s mathematical thinking.

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Sheldon Gordon (Farmingdale State College) and Florence Gordon (NY Institute of Technology) have written many mathematics-related books and articles. In this endeavor, they work as a team to show how algebra is used in the "real world." On initial viewing, Functions, Data and Models may seem like a typical textbook, with all the usual key parts, including appendixes and answers to selected problems in the back of the book. However, on closer examination, readers will see and understand how the eight-chapter work differs from classic algebra books. The detailed preface includes messages for the student, messages for the instructor, and information on the book's philosophy. Some sections are standard for all textbooks; for example, the authors introduce a topic and provide example problems along with problems to be solved at the end of the section. The difference is that the problems are about subjects with which all students are familiar, e.g., sports, weather, money, and food. Chapter 2 uses a problem about cooking a turkey to help students understand models and predictions. There are also many useful illustrations throughout. The book would be a great resource for any algebra course. Summing Up; Highly recommended. Lower-division undergraduates. K. D. Holton Tallahasee Community College