# Finite Mathematics & Its Applications, CourseSmart eTextbook, 10th Edition

Published Date: Dec 30, 2008

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## Description

Goldstein’s Finite Mathematics, Tenth Edition is a comprehensive print and online program for students majoring in business, economics, life science, or social sciences. Without sacrificing mathematical integrity, the book clearly presents the concepts in a flexible content sequence with a large quantity of exceptional, in-depth exercise sets.

CourseSmart textbooks do not include any media or print supplements that come packaged with the bound book.

Preface

Index of Applications

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

2.1 Solving Systems of Linear Equations, I

2.2 Solving Systems of Linear Equations, II

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 Problem

3.2 Linear Programming, I

3.3 Linear Programming, II

4. The Simplex Method

4.1 Slack Variables and the Simplex Tableau

4.2 The Simplex Method, I: Maximum Problems

4.3 The Simplex Method, II: Minimum Problems

4.4 Sensitivity Analysis and Matrix Formulations of Linear Programming Problems

4.5 Duality

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 Problems

5.7 The Binomial Theorem

5.8 Multinomial Coefficients and Partitions

Chapter Project: Pascal's Triangle

6. Probability

6.1 Introduction

6.2 Experiments, Outcomes, Samples and Events

6.3 Assignment of Probabilities

6.4 Calculating Probabilities of Events

6.5 Conditional Probability and Independence

6.6 Tree Diagrams

6.7 Bayes' Theorem

6.8 Simulation

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, I

11.2 Introduction to Difference Equations, II

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: Using the TI-83/84 Plus Graphing Calculators

Appendix D: Using the TI-89 Graphing Calculators