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Finite Mathematics (9TH 08  Old Edition)by Margaret L. Lial
Synopses & ReviewsPublisher Comments:Key Message: Lial, Greenwell, and Ritchey continue their tradition of integrating relevant, realistic applications with current data sources to provide an applicationoriented text for students majoring in business, management, economics, or the life or social sciences. The many opportunities for technology use allow for increased visualization and a better understanding of difficult concepts. In addition to MyMathLab^{®}, a complete online course solution, a comprehensive series of video lectures is available for this text.
Key Topics: Algebra Reference, Linear Functions (shares with CWA, Brief, and Combo), Systems of Linear Equations and Matrices, Linear Programming: The Graphical Method, Linear Programming: The Simplex Method, Mathematics of Finance, Logic, Sets and Probability, Counting Principles: Further Probability Topics, Statistics, Markov Chains, Game Theory
Market: For all readers interested in Finite Mathematics. Synopsis:0321583140 / 9780321583147 Finite Mathematics Value Pack (includes MyMathLab/MyStatLab Student Access Kit & Student's Solutions Manual for Finite Mathematics)
Package consists of 0321262522 / 9780321262523 MyMathLab/MyStatLab — Valuepack Access Card 0321428293 / 9780321428295 Finite Mathematics 0321447182 / 9780321447180 Student Solutions Manual for Finite Mathematics About the AuthorMarge Lial was always interested in math; it was her favorite subject in the first grade! Marge's intense desire to educate both her students and herself has inspired the writing of numerous bestselling textbooks. Marge, who received Bachelor's and Master's degrees from California State University at Sacramento, is now affiliated with American River College.
Marge is an avid reader and traveler. Her travel experiences often find their way into her books as applications, exercise sets, and feature sets. She is particularly interested in archeology. Trips to various digs and ruin sites have produced some fascinating problems for her textbooks involving such topics as the building of Mayan pyramids and the acoustics of ancient ball courts in the Yucatan.  Raymond N. Greenwell earned a B.A. in Mathematics and Physics from the University of San Diego, and an M.S. in Statistics, an M.S. in Applied Mathematics, and a Ph.D. in Applied Mathematics from Michigan State University, where he earned the graduate student teaching award in 1979. After teaching at Albion College in Michigan for four years, he moved to Hofstra University in1983, where he currently is Professor of Mathematics.
Raymond has published articles on fluid mechanics, mathematical biology, genetic algorithms, combinatorics, statistics, and undergraduate mathematics education. He is a member of MAA, AMS, SIAM, NCTM, and AMATYC. He is currently (20022005) governor of the Metropolitan New York Section of the MAA, as well as webmaster and liaison coordinator, and he received a distinguished service award from the Section in 2003. He is an outdoor enthusiast and leads trips in the Sierra Club’s Inner City Outings program.  Nathan P. Ritchey earned a B.A. in Mathematics with a minor in Music from Mansfield University of Pennsylvania. He earned a M.S. in Applied Mathematics and a Ph.D. in Mathematics from Carnegie Mellon University. He is currently a Professor of Mathematics and Chair of the Department of Mathematics and Statistics at Youngstown State University. He has published articles in economics, honors education, medicine, mathematics, operations research, and student recruitment. Nate is a Consultant/Evaluator for the North Central Association's Higher Learning Commission and regularly participates in program evaluations.
In recognition of his numerous activities, Nate has received the Distinguished Professor Award for University Service, the Youngstown Vindicator's "People Who Make a Difference Award," the Watson Merit Award for Department Chairs, the Spirit in Education Award from the SunTex corporation, and the Provost's Merit Award for significant contributions to the Honors Program.
A father of four children, Nate enthusiastically coaches soccer and softball. He also loves music, playing several instruments, and is a tenor in the Shenango Valley Chorale. More information about Nate Ritchey can be found at: http://www.as.ysu.edu/~nate/ Table of ContentsChapter R: Algebra Reference
R1 Polynomials R2 Factoring R3 Rational Expressions R4 Equations R5 Inequalities R6 Exponents R7 Radicals
Chapter 1: Linear Functions 11 Slopes and Equations of Lines 12 Linear Functions and Applications 13 The Least Squares Line Chapter Review Extended Application: Using Extrapolation to Predict Life Expectancy
Chapter 2: Systems of Linear Equations and Matrices 21 Solution of Linear Systems by the Echelon Method 22 Solution of Linear Systems by the GaussJordan Method 23 Addition and Subtraction of Matrices 24 Multiplication of Matrices 25 Matrix Inverses 26 InputOutput Models Chapter Review Extended Application: Contagion
Chapter 3: Linear Programming: The Graphical Method 31 Graphing Linear Inequalities 32 Solving Linear Programming Problems Graphically 33 Applications of Linear Programming Chapter Review
Chapter 4: Linear Programming: The Simplex Method 41 Slack Variables and the Pivot 42 Maximization Problems 43 Minimization Problems; Duality 44 Nonstandard Problems Chapter Review Extended Application: Using Integer Programming in the StockCutting Problem
Chapter 5: Mathematics of Finance 51 Simple and Compound Interest 52 Future Value of an Annuity 53 Present Value of an Annuity; Amortization Chapter Review Extended Application: Time, Money, and Polynomials
Chapter 6: Logic 61 Statements 62 Truth Tables and Equivalent Statements 63 The Conditional and Circuits 64 More on the Conditional 65 Analyzing Arguments and Proofs 66 Analyzing Arguments with Quantifiers Chapter Review Extended Application: Logic Puzzles
Chapter 7: Sets and Probability 71 Sets 72 Applications of Venn Diagrams 73 Introduction to Probability 74 Basic Concepts of Probability 75 Conditional Probability; Independent Events 76 Bayes' Theorem Chapter Review Extended Application: Medical Diagnosis
Chapter 8: Counting Principles: Further Probability Topics 81 The Multiplication Principle; Permutations 82 Combinations 83 Probability Applications of Counting Principles 84 Binomial Probability 85 Probability Distributions; Expected Value Chapter Review Extended Application: Optimal Inventory for a Service Truck
Chapter 9: Statistics 91 Frequency Distributions; Measures of Central Tendency 92 Measures of Variation 93 The Normal Distribution 94 Normal Approximation to the Binomial Distribution Chapter Review Extended Application: Statistics in the Law  The Castaneda Decision
Chapter 10: Markov Chains 101 Basic Properties of Markov Chains 102 Regular Markov Chains 103 Absorbing Markov Chains Chapter Review Extended Application: A Markov Chain Model for Teacher Retention
Chapter 11: Game Theory 11.1 Strictly Determined Games 11.2 Mixed Strategies 11.3 Game Theory and Linear Programming Chapter Review Extended Application: The Prisoner's Dilemma  NonZeroSum Games in Economics
Table Area under a Normal Curve
Answers to Selected Exercises Photo Acknowledgements Index
Special Topics to Accompany Finite Mathematics (TBC)* Digraphs and Networks Graphs and Digraphs Dominance Graphs Communication Graphs Networks Review Exercises
*These supplements will be provided at no additional charge to adopters who request them. What Our Readers Are SayingBe the first to add a comment for a chance to win!Product Details
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