Overview

"Finite Mathematics and Calculus with Applications, Ninth Edition, by Lial, Greenwell, and Ritchey, is our most applied text to date, making the math relevant and accessible for students of business, life science, and social sciences. Current applications, many using real data, are incorporated in numerous forms throughout the book, preparing students for success in their professional careers. With this edition, students will find new ways to get involved with the material, such as ""Your Turn"" exercises and ""Apply It"" vignettes that encourage active participation. The MyMathLab(R) course for the text provides additional learning resources for students, such as video tutorials, algebra help, step-by-step examples, and graphing calculator help. The course also features many more assignable exercises than the previous edition."

Full Product Details

Author:   Margaret Lial ,  Raymond Greenwell ,  Nathan Ritchey
Publisher:   Pearson Education Limited
Imprint:   Pearson Education Limited
Edition:   9th edition
Dimensions:   Width: 21.60cm , Height: 3.50cm , Length: 27.40cm
Weight:   2.114kg
ISBN:  

9781292040257

ISBN 10:   1292040254
Pages:   1072
Publication Date:   01 November 2013
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock  
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Table of Contents

R. Algebra ReferenceR.1 PolynomialsR.2 FactoringR.3 Rational ExpressionsR.4 EquationsR.5 InequalitiesR.6 ExponentsR.7 Radicals 1. Linear Functions1.1 Slopes and Equations of Lines1.2 Linear Functions and Applications1.3 The Least Squares LineChapter 1 ReviewExtended Application: Using Extrapolation to Predict Life Expectancy 2. Systems of Linear Equations and Matrices2.1 Solution of Linear Systems by the Echelon Method2.2 Solution of Linear Systems by the Gauss-Jordan Method2.3 Addition and Subtraction of Matrices2.4 Multiplication of Matrices2.5 Matrix Inverses2.6 Input-Output ModelsChapter 2 ReviewExtended Application: Contagion 3. Linear Programming: The Graphical Method3.1 Graphing Linear Inequalities3.2 Solving Linear Programming Problems Graphically3.3 Applications of Linear ProgrammingChapter 3 ReviewExtended Application: Sensitivity Analysis 4. Linear Programming: The Simplex Method4.1 Slack Variables and the Pivot4.2 Maximization Problems4.3 Minimization Problems; Duality4.4 Nonstandard ProblemsChapter 4 ReviewExtended Application: Using Integer Programming in the Stock-Cutting Problem 5. Mathematics of Finance5.1 Simple and Compound Interest5.2 Future Value of an Annuity5.3 Present Value of an Annuity; AmortizationChapter 5 ReviewExtended Application: Time, Money, and Polynomials 6. Logic6.1 Statements6.2 Truth Tables and Equivalent Statements6.3 The Conditional and Circuits6.4 More on the Conditional6.5 Analyzing Arguments and Proofs6.6 Analyzing Arguments with QuantifiersChapter 6 ReviewExtended Application: Logic Puzzles 7. Sets and Probability7.1 Sets7.2 Applications of Venn Diagrams7.3 Introduction to Probability7.4 Basic Concepts of Probability7.5 Conditional Probability; Independent Events7.6 Bayes' TheoremChapter 7 ReviewExtended Application: Medical Diagnosis 8. Counting Principles; Further Probability Topics8.1 The Multiplication Principle; Permutations8.2 Combinations8.3 Probability Applications of Counting Principles8.4 Binomial Probability8.5 Probability Distributions; Expected ValueChapter 8 ReviewExtended Application: Optimal Inventory for a Service Truck 9. Statistics9.1 Frequency Distributions; Measures of Central Tendency9.2 Measures of Variation9.3 The Normal Distribution9.4 Normal Approximation to the Binomial DistributionChapter 9 ReviewExtended Application: Statistics in the Law - The Castaneda Decision 10. Nonlinear Functions10.1 Properties of Functions10.2 Quadratic Functions; Translation and Reflection10.3 Polynomial and Rational Functions10.4 Exponential Functions10.5 Logarithmic Functions10.6 Applications: Growth and Decay; Mathematics of FinanceChapter 10 ReviewExtended Application: Characteristics of the Monkeyface Prickleback 11. The Derivative11.1 Limits11.2 Continuity11.3 Rates of Change11.4 Definition of the Derivative11.5 Graphical DifferentiationChapter 11 ReviewExtended Application: A Model for Drugs Administered Intravenously 12. Calculating the Derivative12.1 Techniques for Finding Derivatives12.2 Derivatives of Products and Quotients12.3 The Chain Rule12.4 Derivatives of Exponential Functions12.5 Derivatives of Logarithmic FunctionsChapter 12 ReviewExtended Application: Electrical Potential and Electric Field 13. Graphs and the Derivative13.1 Increasing and Decreasing Functions13.2 Relative Extrema13.3 Higher Derivatives, Concavity, and the Second Derivative Test13.4 Curve SketchingChapter 13 ReviewExtended Application: A Drug Concentration Model for Orally Administered Medications 14. Applications of the Derivative14.1 Absolute Extrema14.2 Applications of Extrema14.3 Further Business Applications: Economic Lot Size; Economic Order Quantity; Elasticity of Demand14.4 Implicit Differentiation14.5 Related Rates14.6 Differentials: Linear ApproximationChapter 14 ReviewExtended Application: A Total Cost Model for a Training Program 15. Integration15.1 Antiderivatives15.2 Substitution15.3 Area and the Definite Integral15.4 The Fundamental Theorem of Calculus15.5 The Area Between Two Curves15.6 Numerical IntegrationChapter15 ReviewExtended Application: Estimating Depletion Dates for Minerals 16. Further Techniques and Applications of Integration16.1 Integraton by Parts16.2 Volume and Average Value16.3 Continuous Money Flow16.4 Improper IntegralsChapter 16 ReviewExtended Application: Estimating Learning Curves in Manufacturing with Integrals 17. Multivariable Calculus17.1 Functions of Several Variables17.2 Partial Derivatives17.3 Maxima and Minima17.4 Lagrange Multipliers17.5 Total Differentials and Approximations17.6 Double IntegralsChapter 17 ReviewExtended Application: Using Multivariable Fitting to Create a Response Surface Design 18. Probability and Calculus18.1 Continuous Probability Models18.2 Expected Value and Variance of Continuous Random Variables18.3 Special Probability Density FunctionsChapter 18 ReviewExtended Application: Exponential Waiting Times

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