Finite Mathematics for Business Economics, Life Sciences and Social Sciences : (International Edition)
For freshman- to sophomore-level, one-term or one-quarter courses in Finite Mathematics in business, economics, social sciences, or life sciences departments. This mid-level text covers mathematics of finance, linear algebra, linear programming, probability, and descriptive statistics, with an emphasis on cross- discipline principles and practices. Student-friendly and accessible, it develops a thorough, functional understanding of mathematical concepts in preparation for their application in other areas. Coverage concentrates on developing concepts and ideas followed immediately by developing computational skills and problem solving.
- Paperback | 816 pages
- 201 x 251 x 25mm | 1,408g
- 10 Jun 2004
- Pearson Education (US)
- Prentice Hall
- Upper Saddle River, United States
- 10th edition
Table of contents
(Each chapter concludes with Important Terms, Symbols, and Concepts; Review Exercise; and Group Activities.) PART ONE. A LIBRARY OF ELEMENTARY FUNCTIONS. CHAPTER 1. A Beginning Library of Elementary Functions. 1-1 Functions. 1-2 Elementary Functions: Graphs and Transformations. 1-3 Linear Functions and Straight Lines. 1-4 Quadratic Functions. CHAPTER 2. Additional Elementary Functions. 2-1 Polynomial and Rational Functions. 2-2 Exponential Functions. 2-3 Logarithmic Functions. PART TWO. FINITE MATHEMATICS. CHAPTER 3. Mathematics of Finance. 3-1 Simple Interest. 3-2 Compound Interest. 3-3 Future Value of an Annuity; Sinking Funds. 3-4 Present Value of an Annuity; Amortization. CHAPTER 4. Systems of Linear Equations; Matrices. 4-1 Review: Systems of Linear Equations in Two Variables. 4-2 Systems of Linear Equations and Augmented Matrices. 4-3 Gauss-Jordan Elimination. 4-4 Matrices: Basic Operations. 4-5 Inverse of a Square Matrix. 4-6 Matrix Equations and Systems of Linear Equations. 4-7 Leontief Input-Output Analysis. CHAPTER 5. Linear Inequalities and Linear Programming. 5-1 Systems of Linear Inequalities in Two Variables. 5-2 Linear Programming in Two Dimensions-A Geometric Approach. 5-3 A Geometric Introduction to the Simplex Method. 5-4 The Simplex Method: Maximization with Problem Constraints of the Form. 5-5 The Dual; Minimization with Problem Constraints of the Form. 5-6 Maximization and Minimization with Mixed Problem Constraints. CHAPTER 6. Logic, Sets, and Counting. 6-1 Logic. 6-2 Sets. 6-3 Basic Counting Principles. 6-4 Permutations and Combinations. CHAPTER 7. Probability. 7-1 Sample Spaces, Events, and Probability. 7-2 Union, Intersection, and Complement of Events; Odds. 7-3 Conditional Probability, Intersection, and Independence. 7-4 Bayes' Formula. 7-5 Random Variable, Probability Distribution, and Expected Value. CHAPTER 8. Data Description and Probability Distributions. 8-1 Graphing Data. 8-2 Measures of Central Tendency. 8-3 Measures of Dispersion. 8-4 Bernoulli Trials and Binomial Distributions. 8-5 Normal Distributions. CHAPTER 9. Games and Decisions. 9-1 Strictly Determined Games. 9-2 Mixed Strategy Games. 9-3 Linear Programming and 2 _ 2 Games-Geometric Approach. 9-4 Linear Programming and m _ n Games-Simplex Method and the Dual Problem. CHAPTER 10. Markov Chains. 10-1 Properties of Markov Chains. 10-2 Regular Markov Chains. 10-3 Absorbing Markov Chains. APPENDIX A. Basic Algebra Review. Self-Test on Basic Algebra. A-1 Algebra and Real Numbers. A-2 Operations on Polynomials. A-3 Factoring Polynomials. A-4 Operations on Rational Expressions. A-5 Integer Exponents and Scientific Notation. A-6 Rational Exponents and Radicals. A-7 Linear Equations and Inequalities in One Variable. A-8 Quadratic Equations. APPENDIX B. Special Topics. B-1 Sequences, Series, and Summation Notation. B-2 Arithmetic and Geometric Sequences. B-3 The Binomial Theorem. APPENDIX C. Tables. Table I Area Under the Standard Normal Curve. Table II Basic Geometric Formulas. Answers. Index. Library of Elementary Functions. Applications Index.