Finite Mathematics for the Managerial, Life, and Social Sciences / Edition 10

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Overview


Market-leading FINITE MATHEMATICS FOR THE MANAGERIAL, LIFE, AND SOCIAL SCIENCES, Tenth Edition, educates by application and real-world examples. A traditional book with a modern feel, the text pairs pioneering technology with rock-solid theory, delivering matchless flexibility to both traditional and modern practitioners. The Tenth Edition, as with previous editions, is suitable for both majors and non-majors alike. The text abounds with helpful examples, exercises, applications, and features to motivate further exploration. Portfolio profiles highlight the way actual professionals use math in their day-to-day business. Newly enhanced technology sections provide step-by-step instructions for solving examples and exercises in Excel 2010. Supported by a powerful array of supplements including Enhanced WebAssign, the new Tenth Edition enables students to make full use of their study time and maximize their chances of success in class.
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Editorial Reviews

From The Critics
Covering the standard topics of finite mathematics, this book aims to provide students with the quantitative skills needed for their chosen fields and to lay the foundation for more advanced courses in mathematics. Covering both theory and applications, the book discusses straight lines and linear functions, systems of linear equations and matrices, linear programming, finance, sets and counting, probability, probability distributions and statistics, and Markov chains and game theory. Appendices discuss logic and real numbers. The book assumes only a familiarity with high-school level algebra. Tan teaches at Stonehill College. Annotation c. Book News, Inc., Portland, OR
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Product Details

Meet the Author

Soo T. Tan, Professor of Mathematics at Stonehill College, has published numerous papers in Optimal Control Theory and Numerical Analysis. He received his S.B. degree from Massachusetts Institute of Technology, his M.S. degree from the University of Wisconsin-Madison, and his Ph.D. from the University of California at Los Angeles. "One of the most important lessons I learned from my early experience teaching these courses is that many of the students come into these courses with some degree of apprehension.

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Table of Contents

PREFACE. 1. Straight Lines and Linear Functions. The Cartesian Coordinate System. Straight Lines. Using Technology: Graphing a Straight Line. Linear Functions and Mathematical Models. Using Technology: Evaluating a Function. Intersection of Straight Lines. Using Technology: Finding the Point(s) of Intersection of Two Graphs. The Method of Least Squares. Portfolio. Using Technology: Finding an Equation of a Least-Squares Line. Chapter 1 Summary of Principal Formulas and Terms. Chapter 1 Concept Review Questions. Chapter 1 Review Exercises. Chapter 1 Before Moving On. 2. SYSTEMS OF LINEAR EQUATIONS AND MATRICES. Systems of Linear Equations: An Introduction. Systems of Linear Equations: Unique Solutions. Using Technology: Systems of Linear Equations: Unique Solutions. Systems of Linear Equations: Underdetermined and Overdetermined Systems. Using Technology: Systems of Linear Equations: Underdetermined and Overdetermined Systems. Matrices. Using Technology: Matrix Operations. Multiplication of Matrices. Using Technology: Matrix Multiplication. The Inverse of a Square Matrix. Using Technology: Finding the Inverse of a Square Matrix. Leontief Input'Output Model. Using Technology: The Leontief Input'Output Model. Chapter 2 Summary of Principal Formulas and Terms. Chapter 2 Concept Review Questions. Chapter 2 Review Exercises. Chapter 2 Before Moving On. 3. LINEAR PROGRAMMING: A GEOMETRIC APPROACH. Graphing Systems of Linear Inequalities in Two Variables. Linear Programming Problems. Graphical Solutions of Linear Programming Problems. Sensitivity Analysis. Chapter 3 Summary of Principal Formulas and Terms. Chapter 3 Concept Review Questions. Chapter 3 Review Exercises. Chapter 3 Before Moving On. 4. LINEAR PROGRAMMING: AN ALGEBRAIC APPROACH. The Simplex Method: Standard Maximization Problems. Portfolio. Using Technology: The Simplex Method: Solving Maximization Problems. The Simplex Method: Standard Minimization Problems. Using Technology: The Simplex Method: Solving Minimization Problems. The Simplex Method: Nonstandard Problems. Chapter 4 Summary of Principal Formulas and Terms. Chapter 4 Concept Review Questions. Chapter 4 Review Exercises. Chapter 4 Before Moving On. 5. MATHEMATICS OF FINANCE. Compound Interest. Using Technology: Finding the Accumulated Amount of an Investment, the Effective Rate of Interest, and the Present Value of an Investment. Annuities. Using Technology: Finding the Amount of an Annuity. Amortization and Sinking Funds. Using Technology: Amortizing a Loan. Arithmetic and Geometric Progressions. Chapter 5 Summary of Principal Formulas and Terms. Chapter 5 Concept Review Questions. Chapter 5 Review Exercises. Chapter 5 Before Moving On. 5. SETS AND COUNTING. Sets and Set Operations. The Number of Elements in a Finite Set. The Multiplication Principle. Permutations and Combinations. Portfolio. Using Technology: Evaluating n!, P (n,r) and C (n,r). Chapter 6 Summary of Principal Formulas and Terms. Chapter 6 Concept Review Questions. Chapter 6 Review Exercises. Chapter 6 Before Moving On. 7. PROBABILITY. Experiments, Sample Spaces, and Events. Definition of Probability. Rules of Probability. Use of Counting Techniques in Probability. Conditional Probability and Independent Events. Bayes' Theorem. Chapter 7 Summary of Principal Formulas and Terms. Chapter 7 Concept Review Questions. Chapter 7 Review Exercises. Chapter 7 Before Moving On. 8. PROBABILITY DISTRIBUTIONS AND STATISTICS. Distributions of Random Variables. Using Technology: Graphing a Histogram. Expected Value. Portfolio. Variance and Standard Deviation. Using Technology: Finding the Mean and Standard Deviation. The Binomial Distribution. The Normal Distribution. Applications of the Normal Distribution. Chapter 8 Summary of Principal Formulas and Terms. Chapter 8 Concept Review Questions. Chapter 8 Review Exercises. Chapter 8 Before Moving On. 9. MARKOV CHAINS AND THE THEORY OF GAMES. Markov Chains. Using Technology: Finding Distribution Vectors. Regular Markov Chains. Using Technology: Finding the Long-term Distribution Vector. Absorbing Markov Chains. Game Theory and Strictly Determined Games. Portfolio. Games with Mixed Strategies. Chapter 9 Summary of Principal Formulas and Terms. Chapter 9 Concept Review Questions. Chapter 9 Review Exercises. Chapter 9 Before Moving On. Appendix A: Introduction to Logic. Propositions and Connectives. Truth Tables. The Conditional and the Biconditional Connectives. Laws of Logic. Arguments. Applications of Logic to Switching Networks. Appendix B: The System of Real Numbers. Appendix C: A Review of Logarithms. Appendix D: Tables. Table 1: Binomial Probabilities. Table 2: The Standard Normal Distribution. Answers to Odd-Numbered Exercises. Index.

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