Finite Mathematics
International Edition
9th Edition
Published on 1. November 2007
Book
Paperback/Softback
744 pages
978-0-321-52652-6 (ISBN)
Description
Lial, Greenwell, and Ritchey continue their tradition of integrating relevant, realistic applications with current data sources to provide an application-oriented 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 (R), a complete online course solution, a comprehensive series of video lectures is available for this text.
More details
Edition
9th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 203 mm
Width: 252 mm
Thickness: 24 mm
Weight
1270 gr
ISBN-13
978-0-321-52652-6 (9780321526526)
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 Classification
Other editions
New editions
Margaret L. Lial | Thomas W. Hungerford | John P. Holcomb
Finite Mathematics with Applications
International Edition
Book
03/2012
10th Edition
Pearson
€147.31
Article exhausted; check for reprint
Persons
Marge 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 best-selling 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.
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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 (2002-2005) 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.
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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/
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 (2002-2005) 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/
Content
Chapter R: Algebra Reference
R-1 Polynomials
R-2 Factoring
R-3 Rational Expressions
R-4 Equations
R-5 Inequalities
R-6 Exponents
R-7 Radicals
Chapter 1: Linear Functions
1-1 Slopes and Equations of Lines
1-2 Linear Functions and Applications
1-3 The Least Squares Line
Chapter Review
Extended Application: Using Extrapolation to Predict Life Expectancy
Chapter 2: Systems of Linear Equations and Matrices
2-1 Solution of Linear Systems by the Echelon Method
2-2 Solution of Linear Systems by the Gauss-Jordan Method
2-3 Addition and Subtraction of Matrices
2-4 Multiplication of Matrices
2-5 Matrix Inverses
2-6 Input-Output Models
Chapter Review
Extended Application: Contagion
Chapter 3: Linear Programming: The Graphical Method
3-1 Graphing Linear Inequalities
3-2 Solving Linear Programming Problems Graphically
3-3 Applications of Linear Programming
Chapter Review
Chapter 4: Linear Programming: The Simplex Method
4-1 Slack Variables and the Pivot
4-2 Maximization Problems
4-3 Minimization Problems; Duality
4-4 Nonstandard Problems
Chapter Review
Extended Application: Using Integer Programming in the Stock-Cutting Problem
Chapter 5: Mathematics of Finance
5-1 Simple and Compound Interest
5-2 Future Value of an Annuity
5-3 Present Value of an Annuity; Amortization
Chapter Review
Extended Application: Time, Money, and Polynomials
Chapter 6: Logic
6-1 Statements
6-2 Truth Tables and Equivalent Statements
6-3 The Conditional and Circuits
6-4 More on the Conditional
6-5 Analyzing Arguments and Proofs
6-6 Analyzing Arguments with Quantifiers
Chapter Review
Extended Application: Logic Puzzles
Chapter 7: Sets and Probability
7-1 Sets
7-2 Applications of Venn Diagrams
7-3 Introduction to Probability
7-4 Basic Concepts of Probability
7-5 Conditional Probability; Independent Events
7-6 Bayes' Theorem
Chapter Review
Extended Application: Medical Diagnosis
Chapter 8: Counting Principles: Further Probability Topics
8-1 The Multiplication Principle; Permutations
8-2 Combinations
8-3 Probability Applications of Counting Principles
8-4 Binomial Probability
8-5 Probability Distributions; Expected Value
Chapter Review
Extended Application: Optimal Inventory for a Service Truck
Chapter 9: Statistics
9-1 Frequency Distributions; Measures of Central Tendency
9-2 Measures of Variation
9-3 The Normal Distribution
9-4 Normal Approximation to the Binomial Distribution
Chapter Review
Extended Application: Statistics in the Law - The Castaneda Decision
Chapter 10: Markov Chains
10-1 Basic Properties of Markov Chains
10-2 Regular Markov Chains
10-3 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 - Non-Zero-Sum 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.
R-1 Polynomials
R-2 Factoring
R-3 Rational Expressions
R-4 Equations
R-5 Inequalities
R-6 Exponents
R-7 Radicals
Chapter 1: Linear Functions
1-1 Slopes and Equations of Lines
1-2 Linear Functions and Applications
1-3 The Least Squares Line
Chapter Review
Extended Application: Using Extrapolation to Predict Life Expectancy
Chapter 2: Systems of Linear Equations and Matrices
2-1 Solution of Linear Systems by the Echelon Method
2-2 Solution of Linear Systems by the Gauss-Jordan Method
2-3 Addition and Subtraction of Matrices
2-4 Multiplication of Matrices
2-5 Matrix Inverses
2-6 Input-Output Models
Chapter Review
Extended Application: Contagion
Chapter 3: Linear Programming: The Graphical Method
3-1 Graphing Linear Inequalities
3-2 Solving Linear Programming Problems Graphically
3-3 Applications of Linear Programming
Chapter Review
Chapter 4: Linear Programming: The Simplex Method
4-1 Slack Variables and the Pivot
4-2 Maximization Problems
4-3 Minimization Problems; Duality
4-4 Nonstandard Problems
Chapter Review
Extended Application: Using Integer Programming in the Stock-Cutting Problem
Chapter 5: Mathematics of Finance
5-1 Simple and Compound Interest
5-2 Future Value of an Annuity
5-3 Present Value of an Annuity; Amortization
Chapter Review
Extended Application: Time, Money, and Polynomials
Chapter 6: Logic
6-1 Statements
6-2 Truth Tables and Equivalent Statements
6-3 The Conditional and Circuits
6-4 More on the Conditional
6-5 Analyzing Arguments and Proofs
6-6 Analyzing Arguments with Quantifiers
Chapter Review
Extended Application: Logic Puzzles
Chapter 7: Sets and Probability
7-1 Sets
7-2 Applications of Venn Diagrams
7-3 Introduction to Probability
7-4 Basic Concepts of Probability
7-5 Conditional Probability; Independent Events
7-6 Bayes' Theorem
Chapter Review
Extended Application: Medical Diagnosis
Chapter 8: Counting Principles: Further Probability Topics
8-1 The Multiplication Principle; Permutations
8-2 Combinations
8-3 Probability Applications of Counting Principles
8-4 Binomial Probability
8-5 Probability Distributions; Expected Value
Chapter Review
Extended Application: Optimal Inventory for a Service Truck
Chapter 9: Statistics
9-1 Frequency Distributions; Measures of Central Tendency
9-2 Measures of Variation
9-3 The Normal Distribution
9-4 Normal Approximation to the Binomial Distribution
Chapter Review
Extended Application: Statistics in the Law - The Castaneda Decision
Chapter 10: Markov Chains
10-1 Basic Properties of Markov Chains
10-2 Regular Markov Chains
10-3 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 - Non-Zero-Sum 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.