College Algebra / Edition 1

College Algebra / Edition 1

by Guadalupe I. Lonzano, William G. McCallum, Deborah Hughes-Hallett, Philip Cheifetz
     
 

ISBN-10: 0471707082

ISBN-13: 9780471707080

Pub. Date: 11/20/2009

Publisher: Wiley

This book offers a fresh approach to algebra that focuses on teaching readers how to truly understand the principles, rather than viewing them merely as tools for other forms of mathematics. It relies on a storyline to form the backbone of the chapters and make the material more engaging. Conceptual exercise sets are included to show how the information is applied

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Overview

This book offers a fresh approach to algebra that focuses on teaching readers how to truly understand the principles, rather than viewing them merely as tools for other forms of mathematics. It relies on a storyline to form the backbone of the chapters and make the material more engaging. Conceptual exercise sets are included to show how the information is applied in the real world. Using symbolic notation as a framework, business professionals will come away with a vastly improved skill set.

Product Details

ISBN-13:
9780471707080
Publisher:
Wiley
Publication date:
11/20/2009
Edition description:
Older Edition
Pages:
576
Product dimensions:
8.80(w) x 10.50(h) x 1.00(d)

Related Subjects

Table of Contents

Chapter 1: The Key Concepts of Algebra.

Chapter 2: Rules for Expressions and the Reasons for Them.

Chapter 3: Rules for Equations and the Reasons for Them.

Chapter 4: Functions, Expressions, and Equations.

Chapter 5: Linear Functions, Expressions, and Equations.

Chapter 6: Rules for Exponents and the Reasons for Them.

Chapter 7: Power Functions, Expressions, and Equations.

Chapter 8: More on Functions.

Chapter 9: Quadratic Functions, Expressions, and Equations.

Chapter 10: Exponential Functions, Expressions, and Equations.

Chapter 11: Logarithms.

Chapter 12: Polynomials.

Chapter 13: Rational Functions.

Chapter 14: Summation Notation.

Chapter 15: Sequences and Series.

Chapter 16: Matrices and Vectors.

Chapter 17: Probability and Statistics.

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