Finite Mathematics for Business, Economics, Life Sciences, and Social Sciences, Global Edition + MyLab Mathematics with Pearson eText

Author:   Raymond Barnett ,  Michael Ziegler ,  Karl Byleen ,  Christopher Stocker
Publisher:   Pearson Education Limited
Edition:   14th edition
ISBN:  

9781292264325


Publication Date:   19 April 2019
Format:   Mixed media product
Availability:   In stock   Availability explained
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Finite Mathematics for Business, Economics, Life Sciences, and Social Sciences, Global Edition + MyLab Mathematics with Pearson eText


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Author:   Raymond Barnett ,  Michael Ziegler ,  Karl Byleen ,  Christopher Stocker
Publisher:   Pearson Education Limited
Imprint:   Pearson Education Limited
Edition:   14th edition
Dimensions:   Width: 21.60cm , Height: 2.20cm , Length: 27.60cm
Weight:   1.320kg
ISBN:  

9781292264325


ISBN 10:   1292264322
Publication Date:   19 April 2019
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Professional & Vocational
Format:   Mixed media product
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

1. Functions and Graphs 1.1 Functions 1.2 Elementary Functions: Graphs and Transformations 1.3 Quadratic Functions 1.4 Polynomial and Rational Functions 1.5 Exponential Functions 1.6 Logarithmic Functions Chapter 1 Summary and Review Review Exercises II. FINITE MATHEMATICS 2. Mathematics of Finance 2.1 Simple Interest 2.2 Compound and Continuous Compound Interest 2.3 Future Value of an Annuity; Sinking Funds 2.4 Present Value of an Annuity; Amortization Chapter 2 Summary and Review Review Exercises 3. Systems of Linear Equations; Matrices 3.1 Review: Systems of Linear Equations in Two Variables 3.2 Systems of Linear Equations and Augmented Matrices 3.3 Gauss-Jordan Elimination 3.4 Matrices: Basic Operations 3.5 Inverse of a Square Matrix 3.6 Matrix Equations and Systems of Linear Equations 3.7 Leontief Input-Output Analysis Chapter 3 Summary and Review Review Exercises 4. Linear Inequalities and Linear Programming 4.1 Linear Inequalities in Two Variables 4.2 Systems of Linear Inequalities in Two Variables 4.3 Linear Programming in Two Dimensions: A Geometric Approach Chapter 4 Summary and Review Review Exercises 5. Linear Programming: The Simplex Method 5.1 The Table Method: An Introduction to the Simplex Method 5.2 The Simplex Method: Maximization with Problem Constraints of the Form 5.3 The Dual Problem: Minimization with Problem Constraints of the Form 5.4 Maximization and Minimization with Mixed Problem Constraints Chapter 5 Summary and Review Review Exercises 6. Logic, Sets, and Counting 6.1 Logic 6.2 Sets 6.3 Basic Counting Principles 6.4 Permutations and Combinations Chapter 6 Summary and Review Review Exercises 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 7 Summary and Review Review Exercises 8. Markov Chains 8.1 Properties of Markov Chains 8.2 Regular Markov Chains 8.3 Absorbing Markov Chains Chapter 8 Summary and Review Review Exercises 9. Data Description and Probability Distributions 9.1 Graphing Data 9.2 Measures of Central Tendency 9.3 Measures of Dispersion 9.4 Bernoulli Trials and Binomial Distributions 9.5 Normal Distributions Chapter 9 Summary and Review Review Exercises 10. Games and Decisions (online) 10.1 Strictly Determined Games 10.2 Mixed-Strategy Games 10.3 Linear Programming and 2 x 2 Games: A Geometric Approach 10.4 Linear Programming and m x n Games: Simplex Method and the Dual Problem Chapter 10 Summary and Review Review Exercises Appendix A: Linear Equations and Graphs A.1 Linear Equations and Inequalities A.2 Graphs and Lines A.3 Linear Regression Appendix B: Basic Algebra Review B.1 Real Numbers B.2 Operations on Polynomials B

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