Finite Mathematics, Eleventh Edition is a comprehensive, yet flexible, text for students majoring in business, economics, life science, or social sciences. The authors delve into greater mathematical depth than other texts, while motivating students through relevant, up-to-date applications drawn from students' major fields of study. Every chapter includes a large quantity of exceptional exercises-a hallmark of this text-that address skills, applications, concepts, and technology. The Eleventh Edition includes updated applications, exercises, and technology coverage. In addition, modern and relevant topics such as health statistics have been added. The authors have also added more study tools, including a prerequisite skills diagnostic test and a greatly improved end-of-chapter summary, and made content improvements based on user reviews.
Larry Goldstein has received several distinguished teaching awards, given more than fifty Conference and Colloquium talks & addresses, and written more than fifty books in math and computer programming. He received his PhD at Princeton and his BA and MA at the University of Pennsylvania. He also teaches part time at Drexel University. David Schneider, who is known widely for his tutorial software, holds a BA degree from Oberlin College and a PhD from MIT. He is currently an associate professor of mathematics at the University of Maryland. He has authored eight widely used math texts, fourteen highly acclaimed computer books, and three widely used mathematics software packages. He has also produced instructional videotapes at both the University of Maryland and the BBC. Martha Siegel holds a BA from Russell Sage College, attended Rensselear Polytechnic Institute as a special student, and received her PhD at the University of Rochester. From 1966 until 1971 she taught at Goucher University in Baltimore. Since 1971 she has been a professor at Towson State University, also in Maryland. Professor Siegel has been on the writing team of this book since the fifth edition and is also the co-author of a precalculus reform book.
Preface 1. Linear Equations and Straight Lines 1.1 Coordinate Systems and Graphs 1.2 Linear Inequalities 1.3 The Intersection Point of a Pair of Lines 1.4 The Slope of a Straight Line 1.5 The Method of Least Squares Chapter Project: Break-Even Analysis 2. Matrices Systems of Linear Equations with Unique Solutions 2.1 Systems of Linear Equations with Unique Solutions 2.2 General Systems of Linear Equations 2.3 Arithmetic Operations on Matrices 2.4 The Inverse of a Matrix 2.5 The Gauss-Jordan Method for Calculating Inverses 2.6 Input-Output Analysis Chapter Project: Population Dynamics 3. Linear Programming, A Geometric Approach 3.1 A Linear Programming Application 3.2 The Fundamental Theorem of Linear Programming 3.3 Linear Programming Chapter Project: Shadow Prices 4. The Simplex Method 4.1 Slack Variables and the Simplex Tableau 4.2 Maximum Problems 4.3 Minimum Problems 4.4 Sensitivity Analysis and Matrix Formulations of Linear Programming Problems 4.5 Duality Chapter Project: Shadow Prices 5. Sets and Counting 5.1 Sets 5.2 A Fundamental Principle of Counting 5.3 Venn Diagrams and Counting 5.4 The Multiplication Principle 5.5 Permutations and Combinations 5.6 Further Counting Techniques 5.7 The Binomial Theorem 5.8 Multinomial Coefficients and Partitions Chapter Project: Pascal's Triangle 6. Probability 6.1 Experiments, Outcomes, SampleSapces, and Events 6.2 Assignment of Probabilities 6.3 Calculating Probabilities of Events 6.4 Conditional Probability and Independence 6.5 Tree Diagrams 6.6 Bayes' Theorem, Natural Frequencies 6.7 Simulation Chapter Project: Two Paradoxes 7. Probability and Statistics 7.1 Representation of Data 7.2 Frequency and Probability Distributions 7.3 Binomial Trials 7.4 The Mean 7.5 The Variance and Standard Deviation 7.6 The Normal Distribution 7.7 Normal Approximation to the Binomial Distribution Chapter Project: An Unexpected Expected Value 8. Markov Processes 8.1 The Transition Matrix 8.2 Regular Stochastic Matrices 8.3 Absorbing Stochastic Matrices Chapter Project: Doubly Stochastic Matrices 9. The Theory of Games 9.1 Games and Strategies 9.2 Mixed Strategies 9.3 Determining Optimal Mixed Strategies Chapter Project: Simulating The Outcomes of Mixed-Strategy Games 10. The Mathematics of Finance 10.1 Interest 10.2 Annuities 10.3 Amortization of Loans 10.4 Personal Financial Decisions Chapter Project: Two Items of Interest 11. Difference Equations and Mathematical Models 11.1 Introduction to Difference Equations 11.2 Difference Equations and Interest 11.3 Graphing Difference Equations 11.4 Mathematics of Personal Finance 11.5 Modeling with Difference Equations Chapter Project: Connections to Markov Processes 12. Logic 12.1 Introduction to Logic 12.2 Truth Tables 12.3 Implication 12.4 Logical Implication and Equivalence 12.5 Valid Argument 12.6 Predicate Calculus 12.7 Logic Circuits Chapter Project: A Logic Puzzle Appendix A. Areas Under the Standard Normal Curve Appendix B. The TI-83/84 Plus Graphing Calculators Appendix C. Spreadsheet Fundamentals Appendix D. Wolfram Alpha Answers to Odd-Numbered Exercises Index