This book covers mathematics of finance, linear algebra, linear programming, probability, and descriptive statistics, with an emphasis on cross-discipline principles and practices. Designed to be reader-friendly and accessible, it develops a thorough, functional understanding of mathematical concepts in preparation for their application in other areas. Each chapter concentrates on developing concepts and ideas followed immediately by developing computational skills and problem solving. Three-part coverage presents a library of elementary functions, finite mathematics, and calculus. For individuals trying to obtain the essential mathematical tools they need to effectively pursue courses of study in business and economics, life sciences, or social sciences.
"synopsis" may belong to another edition of this title.
This text covers mathematics of finance, linear algebra, linear programming, probability and descriptive statistics, differential and integral calculus with an emphasis on cross-discipline principles and practices. Designed to be student friendly and accessible, it develops a thorough, functional understanding of mathematical concepts in preparation for their application in other areas. Coverage concentrates on concepts and ideas, then computational skills and problem-solving.Excerpt. © Reprinted by permission. All rights reserved.:
The ninth edition of College Mathematics for Business, Economics, Life Sciences, and Social Sciences is designed for a two-term (or condensed one term) course in finite mathematics and calculus for students who have had 1 1/2 - 2 years of high school algebra or the equivalent. The choice and independence of topics make the text readily adaptable to a variety of courses (see the Chapter Dependency Chart on page ix). It is one of five books in the authors' college mathematics series.
Improvements in this edition evolved out of the generous response from a large number of users of the last and previous editions as well as survey results from instructors, mathematics departments, course outlines, and college catalogs. Fundamental to a book's growth and effectiveness is classroom use and feedback. Now in its ninth edition, College Mathematics for Business, Economics, Life Sciences, and Social Sciences has had the benefit of having a substantial amount of both.
Emphasis and Style
The text is written for student comprehension. Great care has been taken to write a book that is mathematically correct and accessible to students. Emphasis is on computational skills, ideas, and problem solving rather than mathematical theory. Most derivations and proofs are omitted except where their inclusion adds significant insight into a particular concept. General concepts and results are usually presented only after particular cases have been discussed.
Examples and Matched Problems
Over 400 completely worked examples are used to introduce concepts and to demonstrate problem-solving techniques. Many examples have multiple parts, significantly increasing the total number of worked examples. Each example is followed by a similar matched problem for the student to work while reading the material. This actively involves the student in the learning process. The answers to these matched problems are included at the end of each section for easy reference.
Exploration and Discussion
Every section contains Explore-Discuss problems interspersed at appropriate places to encourage the student to think about a relationship or process before a result is stated, or to investigate additional consequences of a development in the text. Verbalization of mathematical concepts, results, and processes is encouraged in these Explore-Discuss problems, as well as in some matched problems, and in some problems in almost every exercise set. The Explore-Discuss material also can be used as in-class or out-of-class group activities. In addition, at the end of every chapter, we have included two special chapter group activities that involve several of the concepts discussed in the chapter. Problems in the exercise sets that require verbalization are indicated by color problem numbers.
The book contains over 5,600 problems. Many problems have multiple parts, significantly increasing the total number of problems. Each exercise set is designed so that an average or below-average student will experience success and a very capable student will be challenged. Exercise sets are mostly divided into A (routine, easy mechanics), B (more difficult mechanics), and C (difficult mechanics and some theory) levels.
A major objective of this book is to give the student substantial experience in modeling and solving real-world problems. Enough applications are included to convince even the most skeptical student that mathematics is really useful (see the Applications Index inside the back cover). Worked examples involving applications are identified by icons. Almost every exercise set contains application problems, usually divided into business and economics, life science, and social science groupings. An instructor with students from all three disciplines can let them choose applications from their own field of interest; if most students are from one of the three areas, then special emphasis can be placed there. Most of the applications are simplified versions of actual real-world problems taken from professional journals and books. No specialized experience is required to solve any of the applications.
The Internet provides a wealth of material that can be related to this book, from sources for the data in application problems to interactive exercises that provide additional insight into various mathematical processes. Every section of the book contains Internet connections identified by WWW. Links to the related web sites can be found at the PH Companion Website discussed later in this preface:
The generic term graphing utility is used to refer to any of the various graphing calculators or computer software packages that might be available to a student using this book. (See the description of the software accompanying this book later in this Preface.) Although access to a graphing utility is not assumed, it is likely that many students will want to make use of one of these devices. To assist these students, optional graphing utility activities are included in appropriate places in the book. These include brief discussions in the text, examples or portions of examples solved on a graphing utility, problems for the student to solve, and a group activity that involves the use of technology at the end of each chapter. In the group activity at the end of Chapter 1, and continuing through Chapter 2, linear regression on a graphing utility is used at appropriate points to illustrate mathematical modeling with real data. All the optional graphing utility material is clearly identified by calculator icons and can be omitted without loss of continuity, if desired.
All graphs are computer-generated to ensure mathematical accuracy. Graphing utility screens displayed in the text are actual output from a graphing calculator.
Additional Pedagogical Features
Annotation of examples and developments, in small color type, is found throughout the text to help students through critical stages (see Sections 1-1 and 4-2). Think boxes (dashed boxes) are used to enclose steps that are usually performed mentally (see Sections 1-1 and 4-1). Boxes are used to highlight important definitions, results, and step-by-step processes (see Sections 1-1 and 1-4). Caution statements appear throughout the text where student errors often occur (see Sections 4-3 and 4-5). Functional use of color improves the clarity of many illustrations, graphs, and developments, and guides students through certain critical steps (see Sections 1-1 and 4-2). Boldface type is used to introduce new terms and highlight important comments. Chapter review sections include a review of all important terms and symbols and a comprehensive review exercise. Answers to most review exercises, keyed to appropriate sections, are included in the back of the book. Answers to all other odd-numbered problems are also in the back of the book. Answers to application problems in linear programming include both the mathematical model and the numeric answer.
The text begins with the development of a library of elementary functions in Chapters 1 and 2, including their properties and uses. We encourage students to investigate mathematical ideas and processes graphically and numerically, as well as algebraically. This development lays a firm foundation for studying mathematics both in this book and in future endeavors. Depending on the syllabus for the course and the background of the students, some or all of this material can be covered at the beginning of a course, or selected portions can be referred to as needed later in the course.
The material in Part Two (Finite Mathematics) can be thought of as four units: mathematics of finance (Chapter 3); linear algebra, including matrices, linear systems, and linear programming (Chapters 4 and 5); probability (Chapter 6); and applications of linear algebra and probability to Markov chains (Chapter 7). The first three units are independent of each other, while the last chapter is dependent on some of the earlier chapters (see the Chapter Dependency Chart preceding this Preface).
Chapter 3 presents a thorough treatment of simple and compound interest and present and future value of ordinary annuities. Appendix B contains a section on arithmetic and geometric sequences that can be covered in conjunction with this chapter, if desired.
Chapter 4 covers linear systems and matrices with an emphasis on using row operations and Gauss-Jordan elimination to solve systems and to find matrix inverses. This chapter also contains numerous applications of mathematical modeling utilizing systems and matrices. To assist students in formulating solutions, all the answers in the back of the book to application problems in Exercises 4-3, 4-5, and the chapter Review Exercise contain both the mathematical model and its solution. The row operations discussed in Sections 4-2 and 4-3 are required for the simplex method in Chapter 5. Matrix multiplication, matrix inverses, and systems of equations are required for Markov chains in Chapter 7.
Chapter 5 provides broad and flexible coverage of linear programming. The first two sections cover two-variable graphing techniques. Instructors who wish to emphasize techniques can cover the basic simplex method in Sections 5-3 and 5-4 and then discuss any or all of the following: the dual method (Section 5-5), the big M method (Section 5-6), or the two-phase simplex method (Group Activity 1). Those who want to emphasize modeling can discuss the formation of the mathematical model for any of the application examples in Sections 5-4, 5 !5, and 5-6, and either omit the solution or use software to find the solution (see the description of the software that accompanies this text later in this Preface). To facilitate this approach, all the answers in the back of the book to application problems in Exercises 5-4, 5-5, 5-6, and the chapter Review Exercise contain both the mathematical model and its solution.
Chapter 6 covers counting techniques and basic probability, including Bayes' formula and random variables. Appendix A contains a review of basic set theory and notation to support the use of sets in probability.
Chapter 7 ties together concepts developed in earlier chapters and applies them to Markov chains. This provides an excellent unifying conclusion to the finite mathematics portion of the text.
The material in Part Three (Calculus) consists of differential calculus (Chapters 8-10), integral calculus (Chapters 11-12), and multivariable calculus (Chapter 13). In general, Chapters 8-11 must be covered in sequence; however, certain sections can be omitted or given brief treatments, as pointed out in the discussion that follows (see the Chapter Dependency Chart on page ix).
Chapter 8 introduces the derivative, covers the limit properties, essential to understanding the definition of the derivative, develops the rules of differentiation (including the chain rule for power forms), and introduces applications of derivatives in business and economics. The interplay between graphical, numerical, and algebraic concepts is emphasized here and throughout the text.
Chapter 9 focuses on graphing and optimization. The first three sections cover continuity and first-derivative and second-derivative graph properties, while emphasizing polynomial graphing. Rational function graphing is covered in Section 9-4. In a course that does not include graphing rational functions, this section can be omitted or given a brief treatment. Optimization is covered in Section 9-5, including examples and problems involving end-point solutions.
The first three sections of Chapter 10 extend the derivative concepts discussed in Chapters 8 and 9 to exponential and logarithmic functions (including the general form of the chain rule). This material is required for all the remaining chapters. Implicit differentiation is introduced in Section 10-4 and applied to related rate problems in Section 10-5. These topics are not referred to elsewhere in the text and can be omitted.
Chapter 11 introduces integration. The first two sections cover antidifferentiation techniques essential to the remainder of the text. Section 113 discusses some applications involving differential equations that can be omitted. Sections 11-4 and 11-5 discuss the definite integral in terms of Riemann sums, including approximations with various types of sums and some simple error estimation. As before, the interplay between the graphical, numeric, and algebraic properties is emphasized. These two sections also are required for the remaining chapters in the text.
Chapter 12 covers additional integration topics and is organized to provide maximum flexibility for the instructor. The first section extends the area concepts introduced in Chapter 11 to the area between two curves and related applications. Section 12-2 covers three more applications of integration, and Sections 12-3 and 12-4 deal with additional techniques of integration. Any or all of the topics in Chapter 12 can be omitted.
The first five sections of Chapter 13 deal with differential multivariable calculus and can be covered any time after Section 10-3 has been completed. Section 13-6 requires the integration concepts discusses in Chapter 11.
Appendix A contains a self-test and a concise review of basic algebra that also may be covered as part of the course or referred to as needed. As mentioned above, Appendix B contains additional topics that can be covered in conjunction with certain sections in the text, if desired.
Supplements for the Student
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Book Description Prentice Hall, 2001. Hardcover. Book Condition: New. book. Bookseller Inventory # M0130920541
Book Description Prentice Hall, 2001. Hardcover. Book Condition: New. 9. Bookseller Inventory # DADAX0130920541
Book Description Prentice Hall, 2001. Hardcover. Book Condition: New. Never used!. Bookseller Inventory # P110130920541