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.
Rezensionen / Stimmen
Each chapter concludes with review exercises and a "Make It Real" Project. 1. Functions and Linear Models Functions Linear Functions Linear Models 2. Systems of Linear Equations Systems of Linear Equations Using Matrices to Solve Linear Systems of Equations Linear System Applications 3. Matrix Algebra and Applications Matrix Addition and Scalar Multiplication Matrix Multiplication and Inverses Solving Matrix Equations Leontief Input-Output Models 4. Linear Programming Graphing Linear Inequalities Solving Linear Programming Problems Graphically Solving Standard Maximization Problems with the Simplex Method Solving Standard Minimization Problems with the Dual Solving General Linear Programming Problems with the Simplex Method 5. Nonlinear Models Quadratic Function Models Higher Order Polynomial Function Models Exponential Function Models Logarithmic Function Models Choosing a Mathematical Model 6. Mathematics of Finance Solving Exponential Equations Simple and Compound Interest Future Value of an Increasing Annuity Present Value of a Decreasing Annuity 7. Sets and Probability Introduction to Sets Cardinality and the Addition and Multiplication Principles Permutations and Combinations Introduction to Probability Basic Probability Concepts 8. Advanced Probability and Statistics Conditional Probability Bayes' Theorem and Applications Markov Chains Random Variables and Expected Value Measures of Central Tendency and Dispersion Normal Distributions
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für die Erwachsenenbildung
Illustrationen
Maße
Höhe: 260 mm
Breite: 210 mm
Dicke: 25 mm
Gewicht
ISBN-13
978-0-618-33293-9 (9780618332939)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Frank C. Wilson teaches students mathematics at Chandler-Gilbert Community College in Mesa, Arizona. Prior to accepting this position, he taught full-time at Green River Community College and at the U.S. Air Force Academy.Frank is the recipient of numerous awards including the Calculus Division Instructor of the Year Award, Make Their Day Staff Award, and Faculty Excellence Award. Nominated by a student, he was featured in Who's Who Among American Teachers in 2004.A dynamic speaker, Frank regularly shares innovative teaching techniques at national and affiliate conferences of the American Mathematical Association of Two-Year Colleges. His 2005 presentation "When Am I Ever Going to Use This? Engaging the Skeptical Student" was attended by more than 110 AMATYC conference attendees.In addition to teaching and writing textbooks, Frank writes children's books. His picture book on measurement, Measure Up! A Bug Contest, was published by Innovative Kids in 2003.Frank is a graduate of Brigham Young University. He and his wife, Shelley, are the proud parents of six children.Feel free to contact Frank at with any questions or feedback.
Each chapter concludes with review exercises and a "Make It Real" Project. 1. Functions and Linear Models Functions Linear Functions Linear Models 2. Systems of Linear Equations Systems of Linear Equations Using Matrices to Solve Linear Systems of Equations Linear System Applications 3. Matrix Algebra and Applications Matrix Addition and Scalar Multiplication Matrix Multiplication and Inverses Solving Matrix Equations Leontief Input-Output Models 4. Linear Programming Graphing Linear Inequalities Solving Linear Programming Problems Graphically Solving Standard Maximization Problems with the Simplex Method Solving Standard Minimization Problems with the Dual Solving General Linear Programming Problems with the Simplex Method 5. Nonlinear Models Quadratic Function Models Higher Order Polynomial Function Models Exponential Function Models Logarithmic Function Models Choosing a Mathematical Model 6. Mathematics of Finance Solving Exponential Equations Simple and Compound Interest Future Value of an Increasing Annuity Present Value of a Decreasing Annuity 7. Sets and Probability Introduction to Sets Cardinality and the Addition and Multiplication Principles Permutations and Combinations Introduction to Probability Basic Probability Concepts 8. Advanced Probability and Statistics Conditional Probability Bayes' Theorem and Applications Markov Chains Random Variables and Expected Value Measures of Central Tendency and Dispersion Normal Distributions
