College Algebra with Applications for Business and Life Sciences / Edition 2

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Overview

If you have struggled in previous algebra courses (and even if you haven't), COLLEGE ALGEBRA WITH APPLICATIONS FOR BUSINESS AND LIFE SCIENCES, Second Edition, can help you succeed in your college algebra course. The authors provide you with a firm foundation in algebraic concepts, and guide you in applying your understanding to relevant examples and applications you are likely to encounter in college or in your career. If your instructor chooses, you'll also learn how to use graphing technology as a tool for problem solving and for review or retention.

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Product Details

  • ISBN-13: 9781133108498
  • Publisher: Cengage Learning
  • Publication date: 1/1/2012
  • Series: Textbooks Available with Cengage YouBook Series
  • Edition description: New Edition
  • Edition number: 2
  • Pages: 720
  • Sales rank: 1,238,960
  • Product dimensions: 8.50 (w) x 11.00 (h) x 1.20 (d)

Meet the Author

Dr. Ron Larson is a professor of mathematics at The Pennsylvania State University, where he has taught since 1970. He received his Ph.D. in mathematics from the University of Colorado and is considered the pioneer of using multimedia to enhance the learning of mathematics, having authored over 30 software titles since 1990. Dr. Larson conducts numerous seminars and in-service workshops for math educators around the country about using computer technology as an instructional tool and motivational aid. He is the recipient of the 2013 Text and Academic Authors Association Award for CALCULUS, the 2012 William Holmes McGuffey Longevity Award for CALCULUS: AN APPLIED APPROACH, the 2011 William Holmes McGuffey Longevity Award for PRECALCULUS: REAL MATHEMATICS, REAL PEOPLE, and the 1996 Text and Academic Authors Association TEXTY Award for INTERACTIVE CALCULUS (a complete text on CD-ROM that was the first mainstream college textbook to be offered on the Internet). Dr. Larson authors numerous textbooks including the best-selling Calculus series published by Cengage Learning.

Anne Hodgkins received her Ed.D. in higher education from Texas A&M University at Commerce in 1990. She has taught at the secondary, community college and university levels. She currently teaches at Phoenix College in Phoenix, Arizona. She especially enjoys teaching intermediate and college algebra as well as calculus. Her interests include math education and research in mathematics teaching strategies.

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Table of Contents

0. FUNDAMENTAL CONCEPTS OF ALGEBRA. Real Numbers: Order and Absolute Value. The Basic Rules of Algebra. Integer Exponents. Radicals and Rational Exponents. Polynomials and Special Products. Factoring. Fractional Expressions. 1. EQUATIONS AND INEQUALITIES. Linear Equations. Mathematical Modeling. Quadratic Equations. The Quadratic Formula. Other Types of Equations. Linear Inequalities. Other Types of Inequalities. 2. FUNCTIONS AND GRAPHS. Graphs of Equations. Lines in the Plane. Linear Modeling and Direct Variation. Functions. Graphs of Functions. Transformations of Functions. The Algebra of Functions. 3. POLYNOMIAL AND RATIONAL FUNCTIONS. Quadratic Functions and Models. Polynomial Functions of Higher Degree. Polynomial Division. Real Zeros of Polynomial Functions. Complex Numbers. The Fundamental Theorem of Algebra. Rational Functions. 4. EXPONENTIAL AND LOGARITHMIC FUNCTIONS. Inverse Functions. Exponential Functions. Logarithmic Functions. Properties of Logarithms. Solving Exponential and Logarithmic Equations. Exponential and Logarithmic Models. 5. SYSTEMS OF EQUATIONS AND INEQUALITIES. Solving Linear Systems Using Substitution. Solving Linear Systems Using Elimination. Linear Systems in Three or More Variables. Systems of Inequalities. Linear Programming. 6. MATRICES AND DETERMINANTS. Matrices and Linear Systems. Operations with Matrices. The Inverse of a Square Matrix. The Determinant of a Square Matrix. Applications of Matrices and Determinants. 7. SEQUENCES, SERIES, AND PROBABILITY. Sequences and Summation Notation. Arithmetic Sequences and Partial Sums. Geometric Sequences and Series. The Binomial Theorem. Counting Principles. Probability. Appendix A: An Introduction to Graphing Utilities. Appendix B: Conic Sections. Conic Sections. Conic Sections and Translations. Appendix C: Further Concepts in Statistics. Data and Linear Modeling. Measures of Central Tendency and Dispersion.

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