Finite Mathematics: An Applied Approach / Edition 11

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Now in its Eleventh Edition, this text once again lives up to itsreputation as a clearly written, comprehensive finite mathematicsbook. The Eleventh Edition of Finite Mathematics builds upona solid foundation by integrating new features and techniques thatfurther enhance student interest and involvement.  Allexisting problems have been updated to provide relevance andtimeliness. This new edition of Finite Mathematics containsthe same elements such as Step-by-Step Examples, Exercise Sets, andLearning Objectives in every chapter. In an engaging and accessiblestyle, this text demonstrates how mathematics applies to variousfields of study. The text is packed with real data and real-lifeapplications to business, economics, social and life sciences.

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Editorial Reviews

A revised edition of Finite Mathematics with Applications for Business and Social Science (1992). A textbook that presents the mathematics required in business and the social sciences, with emphasis on real-world applications. This edition enlarges the range of applications to include those using a graphing calculator; adds new examples, applied problems, and technology exercises; and includes a new appendix which contains examples of solving linear programming problems using the LINDO software package. Annotation c. Book News, Inc., Portland, OR (
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Product Details

  • ISBN-13: 9780470458273
  • Publisher: Wiley
  • Publication date: 12/14/2010
  • Edition description: New Edition
  • Edition number: 11
  • Pages: 864
  • Sales rank: 210,545
  • Product dimensions: 8.27 (w) x 10.04 (h) x 1.35 (d)

Meet the Author

Michael Sullivan is Professor Emeritus in the Department of Mathematics and Computer Science at Chicago State University where he taught for 35 years before retiring a few years ago. Dr. Sullivan is a member of American Mathematical Society, the Mathematical Association of America, and the American Mathematical Association of Two Year Colleges. He is President of Text and Academic Authors Association and represents that organization on the Authors Coalition of America, Mike has been writing textbooks in mathematics for over 30 years. He currently has 13c books in print: 3 texts with John Wiley & Sons and 10 with Prentice-Hall. Six of these titles are co-authored with his son, Michael Sullivan III. He has four children: Kathleen, who teaches college mathematics; Michael, who teaches college mathematics, Dan who is a Prentice-Hall sales representative, and Colleen, who teaches middle school mathematics. Nine grandchildren round out the family.

Abe Mizrahi enjoyed an active career in mathematics before his untimely passing in 2001. He received his doctorate in mathematics from the Illinois Institute of Technology in 1965, and was a Professor of Mathematics at Indiana University Northwest. Dr. Mizrahi was a member of the Mathematics of Association of America, and wrote articles that explored topics in math education and the applications of mathematics to economics. Dr. Mizrahi served on many CUPM committees and was a panel member on the CUPM Committee on Applied mathematics in the Undergraduate Curriculum. Dr. Mizrahi was the recipient of many NSF grants and served as a consultant to a number of businesses and federal agencies.


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Table of Contents

Chapter 1: Linear Equations.

1.1. Lines.

1.2. Pairs of Lines.

1.3. Applications to Business and Economics.

1.4. Scatter Diagrams; Linear Curve Fitting.

Chapter Review.

Chapter Project.

Chapter 2: Systems of Linear Equations.

2.1 Systems of Linear Equations: Substitution; Elimination.

2.2 Systems of Linear Equations: Gauss-Jordan Method.

2.3 Systems of m Linear Equations Containing n Variables.

Chapter Review.

Chapter Project.

Chapter 3: Matrices.

3.1 Matrix Algebra.

3.2 Multiplication of Matrices.

3.3 The Inverse of a Matrix.

3.4 Applications in Economics (the Leontief Model), Accounting,and Statistics (the Method of Least Squares).

Chapter Review.

Chapter Project.

Chapter 4: Linear Programming with Two Variables.

4.1 Systems of Linear Inequalities.

4.2 A Geometric Approach to Linear Programming Problems.

Chapter Review.

Chapter Project.

Chapter 5: Linear Programming: Simplex Method.

5.1 The Simplex Tableau; Pivoting.

5.2 The Simplex Method; Solving Maximum Problems in StandardForm.

5.3 Solving Minimum Problems Using the Daily Principle.

5.4 The Simplex Method for Problems Not in Standard Form.

Chapter Review.

Chapter Project.

Chapter 6: Finance.

6.1 Interest.

6.2 Compound Interest.

6.3 Annuities; Sinking Funds.

6.4 Present Value of an Annuity; Amortization.

6.5 Annuities and Amortization Using Recursive Sequences.

Chapter Review.

Chapter Project.

Chapter 7: Probability.

7.1 Sets.

7.2 The Number of Elements in a Set.

7.3 The Multiplication Principle.

7.4 Sample Spaces and the Assignment of Probabilities.

7.5 Properties of the Probability of an Event.

7.6 Expected Value.

Chapter Review.

Chapter Project.

Chapter 8: Bayes' Theorem; The Binomial ProbabilityModel.

8.1 Conditional Probability.

8.2 Independent Events.

8.3 Bayes' Theorem.

8.4 Permutations.

8.5 Combinations.

8.6 The Binomial Probability Model.

Chapter Review.

Chapter Project.

Chapter 9: Statistics.

9.1 Introduction to Statistics: Data and Sampling.

9.2 Representing Qualitative Data Graphically: Bar Graphs; PieCharts.

9.3 Organizing and Displaying Quantitative Data.

9.4 Measures of Central Tendency.

9.5 Measures of Dispersion.

9.6 The Normal Distribution.

Chapter Review.

Chapter Project.

Chapter 10: Markov Chains; Games.

10.1 Markov Chains and Transition Matrices.

10.2 Regular Markov Chains.

10.3 Absorbing Markov Chains.

10.4 Two-Person Games.

10.5 Mixed Strategies.

10.6 Optimal Strategy in Two-Person Zero-Sum Games with 2 X 2Matrices.

Chapter Review.

Chapter Project.

Chapter 11: Logic.

11.1 Propositions.

11.2 Truth Tables.

11.3 Implications; The Biconditional Connective;Tautologies.

11.4 Arguments.

11.5 Logic Circuits.

Chapter Review.

Chapter Project.

Appendix A: Review.

A.1 Real Numbers.

A.2 Algebra Essentials.

A.3 Exponents and Logarithms.

A.4 Recursive Defined Sequences: Geometric Sequences.

Appendix B: Using LINDO to Solve Linear ProgrammingProblems.

Appendix C: Graphing Utilities.

C.1 The Viewing Rectangle.

C.2 Using a Graphing Utility to Graph Equations.

C.3 Square Screens.

C.4 Using a Graphing Utility to Graph Inequalities.

Answers to Odd-Numbered Problems.

Photo Credits.


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