Finite Mathematics for Business Economics, Life Sciences and Social Sciences

Finite Mathematics for Business Economics, Life Sciences and Social Sciences

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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 more

Product details

  • Hardback | 816 pages
  • 208.28 x 259.08 x 33.02mm | 1,632.92g
  • Pearson Education (US)
  • Pearson
  • United States
  • 10th edition
  • 0131139622
  • 9780131139626

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 more

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