We're sorry, but eCampus.com doesn't work properly without JavaScript.
Either your device does not support JavaScript or you do not have JavaScript enabled.
How to enable JavaScript in your browser.
Need help? Call 1-855-252-4222
For freshman/sophomore, 2-semester or 2-3 quarter courses covering finite mathematics and applied calculus for students in business, economics, social sciences, or life sciences.
This ISBN is for the 24-month MyLab access card. Pearson eText is included.
An applied presentation that makes the math meaningful
Finite Mathematics and Calculus with Applications,?11th Edition?prepares you for success in your future career with timely applications incorporated throughout. Known for using real data in their examples and exercises, the authors make mathematics relevant and accessible throughout the narrative, examples, exercise sets, and supplementary resources. You’ll have ample opportunity to relate what you’re learning to career situations through the Apply It question at the beginning of sections, the applied examples and exercises, and the Extended Application at the end of each chapter. The 11th Edition introduces coauthor Geoffrey Krader, whose enhancements to the MyLab® Math course make it an even more valuable learning resource.
Personalize learning with MyLab Math with Pearson eText
This flexible digital platform combines unrivaled content, online assessments, and customizable features so you can personalize learning and improve results.
Pearson eText is an easy-to-use digital textbook available within MyLab that lets you read, highlight, and take notes all in one place.
NOTE: Before purchasing, check with your instructor to confirm the correct ISBN. Several versions of the MyLab® and Mastering® platforms exist for each title, and registrations are not transferable. To register for and use MyLab or Mastering, you may also need a Course ID, which your instructor will provide.
Used books, rentals, and purchases made outside of Pearson
If purchasing or renting from companies other than Pearson, the access codes for the MyLab platform may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase.
Marge Lial ?(late) 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, was affiliated with American River College. An avid reader and traveler, her travel experiences often found their way into her books as applications, exercise sets, and feature sets. Her interest in archeology led to trips to various digs and ruin sites, producing 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 in 1983, 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 has served as 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 former chair of the Department of Mathematics and Statistics at Youngstown State University and is currently serving as the dean of the College of Science and Health Professions at Edinboro 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.
Katherine Ritchey earned a B.A. in Mathematics from the University of Notre Dame. She earned a Ph.D. in Mathematics from The Ohio State University, and her research interests include combinatorics and graph theory. While at OSU, she began her lifelong dream of teaching mathematics and was awarded several graduate student teaching awards. She is currently an Assistant Professor of Mathematics at the University of Mount Union in Ohio.
Blain A. Patterson earned a BS in Mathematics Education with a minor in Mathematics from Youngstown State University. He earned both a MS and PhD in Mathematics Education from North Carolina State University. He is currently an Assistant Professor of Applied Mathematics at Virginia Military Institute. He has published articles in various mathematics and education journals on mathematics teacher education, learning disabilities, middle school mathematics education, and cryptography. Blain is currently a Project NExT Fellow (Brown '20) and an active member of MAA, SIAM, SIMIODE, and AWM. When he is not thinking about mathematics, Blain enjoys spending time outdoors with his dogs and playing board games.
Sarah Ritchey Patterson earned a B.S. in Mathematics and Computer Science from Youngstown State University. She earned a Ph.D. in Mathematics from Duke University. Sarah is currently an assistant professor at the Virginia Military Institute. Her research interests include computational fluid dynamics, fluid-structure interaction problems, and mathematical modeling. Sarah actively advises undergraduate research projects and uses this perspective to enhance her teaching and the textbook.
Geoffrey H. Krader received a B.S. in Mathematics from the University of Michigan and a M.A in Mathematics from the University of Wisconsin-Madison. After college, Geoff began a career in private industry, where he directed large, global software development teams at Bell Laboratories and Lucent Technologies. He retired after 25 years to begin a second career in teaching, something he had enjoyed since graduate school where he was a teaching assistant. For 15 years, Geoff was a full-time faculty member in the mathematics department at Morton College, just outside of Chicago. At Morton, he led a redesign of the developmental mathematics curriculum that improved student outcomes, and he used his business experience to bring real-life examples into the courses he taught. Geoff is also an avid traveler and photographer. He has visited all 50 U.S. states and almost 30 foreign countries on four continents.
PrefacePrerequisite Skills Diagnostic Test
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: Predicting 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-CuttingProblem
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: Power Functions
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: Electric 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 Applications14.4 Implicit Differentiation14.5 Related Rates14.6 Differentials: Linear ApproximationChapter 14 ReviewExtended Application: A Total 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 IntegrationChapter 15 ReviewExtended Application Estimating Depletion Dates for Minerals
16. Further Techniques and Applications of Integration16.1 Integration by Parts16.2 Volume and Average Value16.3 Continuous Money Flow16.4 Improper Integrals16.5 Solutions of Elementary and Separable Differential EquationsChapter 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
The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.