MyLab Math with Pearson eText -- Access Card -- for Finite Mathematics (18-Weeks)

by Margaret Lial/Raymond Greenwell

• ISBN13: 9780137342549
• ISBN10: 0137342543
• Format: Access Card
• Copyright: 2021-02-09
• Publisher: PEARSON

Summary

For freshman or sophomore, 1-semester or 1-2 quarter Finite Mathematics courses for students in business, economics, social sciences, or life sciences. 

This ISBN is for the 18-week MyLab access card. Pearson eText is included. 

An applied presentation that makes the math meaningful 

Finite Mathematics,?12th 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 12th 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. 

Author Biography

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 lead 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. 

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. 

Table of Contents

Preface

Prerequisite Skills Diagnostic Test 

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 

1. Linear Functions 

1.1 Slopes and Equations of Lines

1.2 Linear Functions and Applications 

1.3 The Least Squares Line 

Chapter 1 Review 

Extended Application: Predicting Life Expectancy 

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 2 Review 

Extended Application: Contagion 

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 3 Review 

Extended Application: Sensitivity Analysis 

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 4 Review 

Extended Application: Using Integer Programming in the Stock-Cutting 

Problem 

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 5 Review 

Extended Application: Time, Money, and Polynomials 

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 6 Review 

Extended Application: Logic Puzzles 

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 7 Review 

Extended Application: Medical Diagnosis 

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 8 Review 

Extended Application: Optimal Inventory for a Service Truck 

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 9 Review 

Extended Application Statistics in the Law—the Castaneda Decision 

10. Markov Chains

10.1 Basic Properties of Markov Chains 

10.2 Regular Markov Chains 

10.3 Absorbing Markov Chains 

Chapter 10 Review 

Extended Application: A Markov Chain Model for Teacher Retention 

11. Game Theory

11.1 Strictly Determined Games 

11.2 Mixed Strategies 

11.3 Game Theory and Linear Programming 

Chapter 11 Review 

Extended Application: The Prisoner’s Dilemma––Non-Zero-Sum Games in Economics 

Appendix 

A. Solutions to Prerequisite Skills Diagnostic Test 

B. Logarithms 
C. Area Under a Normal Curve 

Answers to Selected Exercises

Credits

Index of Applications

Index

Sources

Special Topics to Accompany Finite Mathematics 

The following material is available in MyLab Math and provided free to adopters at bit.ly/3g7SMoE

Digraphs and Networks 

• Graphs and Digraphs 
• Dominance Graphs 
• Communication Graphs 
• Networks 
• Review Exercises