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Cover type: Hardback

Edition: 07

Copyright: 2007

Publisher: Houghton Mifflin Harcourt

Published: 2007

International: No

Edition: 07

Copyright: 2007

Publisher: Houghton Mifflin Harcourt

Published: 2007

International: No

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Geared toward business and social science majors in a single semester finite mathematics course, this text equips students with the analytical tools and technological skills they will need in the workplace. Plain language and an easy-to-read style help stress conceptual understanding and reinforce key terms and concepts. At the same time, the incorporation of real-life applications, examples, and data help engage students--even those who have never enjoyed mathematics. Pedagogy throughout the text helps students analyze data from a variety of approaches, including numeric, algebraic, graphical, literal, and technological. A robust supplement package and exciting new technology program provide students with extensive learning and support, so that instructors can spend more time teaching.

- Make It Real projects ask students to collect and analyze data that often mirrors their own experiences. Students are able to better process this information and connect math to their own lives.
- Technology Tips are scattered throughout the text and help guide students through new techniques on the graphing calculator such as graphing a function, solving an equation, or finding the value of a function.
- Examples, Exercises, and Applications focus on the business or social science student and are based on engaging real-life data.
- Eduspace, powered by Blackboard, Houghton Mifflin's online learning tool brings your students quality online homework, tutorials, multimedia, and testing that correspond to the Finite Mathematics text. This content is paired with the recognized course management tools of Blackboard. Use Eduspace to teach all or part of a course online.
- Streamlined content allows instructors to cover the text in its entirety.

**Chapter 1**

Functions

Linear Functions

Linear Models

**Chapter 2**

Systems of Two-Variable Linear Equations

Using Matrices to Solve Linear Systems of Equations

Linear System Applications

**Chapter 3**

Matrix Addition and Scalar Multiplication

Matrix Multiplication and Inverses

Solving Matrix Equations

Leontief Input-Output Models

**Chapter 4**

Graphing Linear Inequalities

Graphically Solving Linear Programming Problems

The Simplex Method: Solving Standard Maximization Problems

Standard Minimization Problems and the Dual

The Simplex Method: Solving Problems with Mixed Constraints

**Chapter 5**

Quadratic Function Models

Higher Order Polynomial Function Models

Exponential Models

Logarithmic Models

Choosing a Mathematical Model

**Chapter 6**

Solving Exponential and Logarithmic Equations

Simple Interest and Compound Interest

Future Value of an Increasing Annuity

Present Value of a Decreasing Annuity

**Chapter 7**

Sets

Cardinality and the Addition and Multiplication Principles

Permutations and Combinations

Introduction to Probability

Basic Probability Concepts

**Chapter 8**

Conditional Probability

Bayes' Theorem

Markov Chains

Random Variables and Expected Value

Measures of Central Tendency and Dispersion

Normal Distributions

Summary

Geared toward business and social science majors in a single semester finite mathematics course, this text equips students with the analytical tools and technological skills they will need in the workplace. Plain language and an easy-to-read style help stress conceptual understanding and reinforce key terms and concepts. At the same time, the incorporation of real-life applications, examples, and data help engage students--even those who have never enjoyed mathematics. Pedagogy throughout the text helps students analyze data from a variety of approaches, including numeric, algebraic, graphical, literal, and technological. A robust supplement package and exciting new technology program provide students with extensive learning and support, so that instructors can spend more time teaching.

- Make It Real projects ask students to collect and analyze data that often mirrors their own experiences. Students are able to better process this information and connect math to their own lives.
- Technology Tips are scattered throughout the text and help guide students through new techniques on the graphing calculator such as graphing a function, solving an equation, or finding the value of a function.
- Examples, Exercises, and Applications focus on the business or social science student and are based on engaging real-life data.
- Eduspace, powered by Blackboard, Houghton Mifflin's online learning tool brings your students quality online homework, tutorials, multimedia, and testing that correspond to the Finite Mathematics text. This content is paired with the recognized course management tools of Blackboard. Use Eduspace to teach all or part of a course online.
- Streamlined content allows instructors to cover the text in its entirety.

Table of Contents

**Chapter 1**

Functions

Linear Functions

Linear Models

**Chapter 2**

Systems of Two-Variable Linear Equations

Using Matrices to Solve Linear Systems of Equations

Linear System Applications

**Chapter 3**

Matrix Addition and Scalar Multiplication

Matrix Multiplication and Inverses

Solving Matrix Equations

Leontief Input-Output Models

**Chapter 4**

Graphing Linear Inequalities

Graphically Solving Linear Programming Problems

The Simplex Method: Solving Standard Maximization Problems

Standard Minimization Problems and the Dual

The Simplex Method: Solving Problems with Mixed Constraints

**Chapter 5**

Quadratic Function Models

Higher Order Polynomial Function Models

Exponential Models

Logarithmic Models

Choosing a Mathematical Model

**Chapter 6**

Solving Exponential and Logarithmic Equations

Simple Interest and Compound Interest

Future Value of an Increasing Annuity

Present Value of a Decreasing Annuity

**Chapter 7**

Sets

Cardinality and the Addition and Multiplication Principles

Permutations and Combinations

Introduction to Probability

Basic Probability Concepts

**Chapter 8**

Conditional Probability

Bayes' Theorem

Markov Chains

Random Variables and Expected Value

Measures of Central Tendency and Dispersion

Normal Distributions

Publisher Info

Publisher: Houghton Mifflin Harcourt

Published: 2007

International: No

Published: 2007

International: No

Geared toward business and social science majors in a single semester finite mathematics course, this text equips students with the analytical tools and technological skills they will need in the workplace. Plain language and an easy-to-read style help stress conceptual understanding and reinforce key terms and concepts. At the same time, the incorporation of real-life applications, examples, and data help engage students--even those who have never enjoyed mathematics. Pedagogy throughout the text helps students analyze data from a variety of approaches, including numeric, algebraic, graphical, literal, and technological. A robust supplement package and exciting new technology program provide students with extensive learning and support, so that instructors can spend more time teaching.

- Make It Real projects ask students to collect and analyze data that often mirrors their own experiences. Students are able to better process this information and connect math to their own lives.
- Technology Tips are scattered throughout the text and help guide students through new techniques on the graphing calculator such as graphing a function, solving an equation, or finding the value of a function.
- Examples, Exercises, and Applications focus on the business or social science student and are based on engaging real-life data.
- Eduspace, powered by Blackboard, Houghton Mifflin's online learning tool brings your students quality online homework, tutorials, multimedia, and testing that correspond to the Finite Mathematics text. This content is paired with the recognized course management tools of Blackboard. Use Eduspace to teach all or part of a course online.
- Streamlined content allows instructors to cover the text in its entirety.

**Chapter 1**

Functions

Linear Functions

Linear Models

**Chapter 2**

Systems of Two-Variable Linear Equations

Using Matrices to Solve Linear Systems of Equations

Linear System Applications

**Chapter 3**

Matrix Addition and Scalar Multiplication

Matrix Multiplication and Inverses

Solving Matrix Equations

Leontief Input-Output Models

**Chapter 4**

Graphing Linear Inequalities

Graphically Solving Linear Programming Problems

The Simplex Method: Solving Standard Maximization Problems

Standard Minimization Problems and the Dual

The Simplex Method: Solving Problems with Mixed Constraints

**Chapter 5**

Quadratic Function Models

Higher Order Polynomial Function Models

Exponential Models

Logarithmic Models

Choosing a Mathematical Model

**Chapter 6**

Solving Exponential and Logarithmic Equations

Simple Interest and Compound Interest

Future Value of an Increasing Annuity

Present Value of a Decreasing Annuity

**Chapter 7**

Sets

Cardinality and the Addition and Multiplication Principles

Permutations and Combinations

Introduction to Probability

Basic Probability Concepts

**Chapter 8**

Conditional Probability

Bayes' Theorem

Markov Chains

Random Variables and Expected Value

Measures of Central Tendency and Dispersion

Normal Distributions