Mathematics with Applications in the Management, Natural, and Social Sciences + MyLab Math with Pearson eText: (Corequisite Course Solutions for Math & Statistics)

NOTE: Before purchasing, check with your instructor to ensure you select 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. For freshman/sophomore, 2-semester or 2–3 quarter courses in Finite Math & Applied Calculus or Mathematics for Business.  This package includes MyLab Math. A strong foundation and logical progression through finite math and calculus The unique organization of Mathematics with Applications in the Management, Natural, and Social Sciences gives students four chapters of college algebra, rather than the usual two, before moving into finite math and calculus. From there, the authors build upon familiar foundations and then move to new concepts; students are shown concrete examples before learning general rules and formulas.  With an ongoing focus on real-world problem solving, almost every section in the 12th Edition includes relevant, contemporary applications and fine-tuned pedagogical devices.  A prior course in basic algebra is assumed. Personalize learning with MyLab Math  By combining trusted authors’ content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student.  013486266X / 9780134862668 Mathematics with Applications and MyLab Math with Pearson eText -- Title-Specific Access Card Package, 12/e Package consists of:    0134767624 / 9780134767628 Mathematics with Applications In the Management, Natural, and Social Sciences, 12/e   0134856554 / 9780134856551 MyLab Math with Pearson eText -- Standalone Access Card -- for Mathematics with Applications, 12/e

Table of Contents:
Prerequisite Skills Test Calculus Readiness Test 1. Algebra and Equations 1.1 The Real Numbers 1.2 Polynomials 1.3 Factoring 1.4 Rational Expressions 1.5 Exponents and Radicals 1.6 First-Degree Equations 1.7 Quadratic Equations Summary and Review CASE STUDY 1. Energy Efficiency and Long-Term Cost Savings 2. Graphs, Lines, and Inequalities 2.1 Graphs 2.2 Equations of Lines 2.3 Linear Models 2.4 Linear Inequalities 2.5 Polynomial and Rational Inequalities Summary and Review CASE STUDY 2. Using Extrapolation and Interpolation for Prediction 3. Functions and Graphs 3.1 Functions 3.2 Graphs of Functions 3.3 Applications of Linear Functions 3.4 Quadratic Functions and Applications 3.5 Polynomial Functions 3.6 Rational Functions Summary and Review CASE STUDY 3. Maximizing Profit 4. Exponential and Logarithmic Functions 4.1 Exponential Functions 4.2 Applications of Exponential Functions 4.3 Logarithmic Functions 4.4 Logarithmic and Exponential Equations Summary and Review CASE STUDY 4. Gapminder.org 5. Mathematics of Finance 5.1 Simple Interest and Discount 5.2 Compound Interest 5.3 Annuities, Future Value, and Sinking Funds 5.4 Annuities, Present Value, and Amortization Summary and Review CASE STUDY 5. Investing in Stocks and Using the Rule of 72 6. Systems of Linear Equations and Matrices 6.1 Systems of Two Linear Equations in Two Variables 6.2 Larger Systems of Linear Equations 6.3 Applications of Systems of Linear Equations 6.4 Basic Matrix Operations 6.5 Matrix Products and Inverses 6.6 Applications of Matrices Summary and Review CASE STUDY 6. Airline Route Maps 7. Linear Programming 7.1 Graphing Linear Inequalities in Two Variables 7.2 Linear Programming: The Graphical Method 7.3 Applications of Linear Programming 7.4 The Simplex Method: Maximization 7.5 Maximization Applications 7.6 The Simplex Method: Duality and Minimization 7.7 The Simplex Method: Nonstandard Problems Summary and Review CASE STUDY 7. Cooking with Linear Programming 8. Sets and Probability 8.1 Sets 8.2 Applications of Venn Diagrams and Contingency Tables 8.3 Introduction to Probability 8.4 Basic Concepts of Probability 8.5 Conditional Probability and Independent Events 8.6 Bayes' Formula Summary and Review CASE STUDY 8. Medical Diagnosis 9. Counting, Probability Distributions, and Further Topics in Probability 9.1 Probability Distributions and Expected Value 9.2 The Multiplication Principle, Permutations, and Combinations 9.3 Applications of Counting 9.4 Binomial Probability 9.5 Markov Chains 9.6 Decision Making Summary and Review CASE STUDY 9. Quick Draw® from the New York State Lottery 10. Introduction to Statistics 10.1 Frequency Distributions 10.2 Measures of Center 10.3 Measures of Variation and Boxplots 10.4 Normal Distributions Summary and Review CASE STUDY 10. Standard Deviation as a Measure of Risk 11. Differential Calculus 11.1 Limits 11.2 One-Sided Limits and Limits Involving Infinity 11.3 Rates of Change 11.4 Tangent Lines and Derivatives 11.5 Techniques for Finding Derivatives 11.6 Derivatives of Products and Quotients 11.7 The Chain Rule 11.8 Derivatives of Exponential and Logarithmic Functions 11.9 Continuity and Differentiability Summary and Review CASE STUDY 11. Price Elasticity of Demand 12. Applications of the Derivative 12.1 Local Extrema 12.2 The Second Derivative 12.3 Optimization Applications 12.4 Implicit Differentiation 12.5 Related Rates 12.6 Curve Sketching Summary and Review CASE STUDY 12. A Total Cost Model for a Training Program 13. Integral Calculus 13.1 Antiderivatives 13.2 Integration by Substitution 13.3 Integration by Parts 13.4 Area and the Definite Integral 13.5 The Fundamental Theorem of Calculus 13.6 Applications of Integrals 13.7 Differential Equations Summary and Review CASE STUDY 13. Bounded Population Growth 14. Multivariate Calculus 14.1 Functions of Several Variables 14.2 Partial Derivatives 14.3 Extrema of Functions of Several Variables 14.4 Lagrange Multipliers Summary and Review CASE STUDY 14. Global Warming and the Method of Least Squares APPENDICES A. Areas under the Normal Curve B. Solutions to Prerequisite Skills Test and Calculus Readiness Test C. Table of Integrals Answers to Selected Exercises Index of Companies, Products, and Agencies Index of Applications Subject Index Photo Credits Reference Endpapers: Algebra Review Geometric Formulas Finite Math Review Calculus Review

About the Author :
Marge Lial (late) was always interested in math; it was her favorite subject in the first grade! Lial's intense desire to educate both her students and herself has inspired the writing of numerous best-selling textbooks. Lial, 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 find 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.   Thomas W. Hungerford (late) received his bachelor’s degree from Holy Cross and his PhD from the University of Chicago. He taught for many years at the University of Washington (Seattle) before moving to Cleveland State University in 1980 and then to St. Louis University to in 2003. He wrote a number of research articles in algebra and several in mathematics education. Dr. Hungerford is the author or coauthor of more than a dozen mathematics textbooks, ranging from high school to graduate level, several of which are published by Pearson. He passionately promoted the effective use of technology in mathematics instruction. Dr. Hungerford was also a referee and reviewer for various mathematical journals and served on National Science Foundation panels for selecting grant recipients.   John P. Holcomb, Jr. received his bachelor's degree from St. Bonaventure University and his PhD from the University at Albany, State University of New York. He is professor and chair and frequently publishes with researchers in a variety of disciplines where he provides statistical analysis. Dr. Holcomb has also authored several papers in statistical education and is very active in the American Statistical Association and the Mathematical Association of America. He was named a Carnegie Scholar in 2000 by the Carnegie Foundation for the Advancement of Teaching and Learning and in 2003 received the Waller Award from the American Statistical Association for outstanding teaching of introductory statistics.    Bernadette Mullins received her bachelor’s degree from Western Illinois University and her PhD from the University of Iowa. She is currently professor of mathematics at Birmingham-Southern College (BSC) in Birmingham, Alabama, where she arrived in 2000. She has published numerous articles in the fields of commutative ring theory and mathematics education. She has served as co-investigator for several National Science Foundation grants related to improving mathematics education. Dr. Mullins has won four awards for her excellence in teaching, including the Bob Whetstone award at BSC. Throughout her career, she has been active in Project NExT (New Experiences in Teaching) and the Mathematical Association of America, and was elected Alabama State Director of the MAA in 2013.