Finite Mathematics for Business, Economics, Life Sciences, and Social Sciences

Finite Mathematics for Business, Economics, Life Sciences, and Social Sciences

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Description

For one-semester courses in Finite Mathematics.

Helps students “get the idea.”

Finite Mathematics for Business, Economics, Life Sciences, and Social Sciences, 14th Edition offers more built-in guidance than any other text for this course — with special emphasis on applications and prerequisite skills — and a host of student-friendly features to help students catch up or learn on their own. The text’s emphasis on helping students “get the idea” is enhanced in the new edition by a design refresh, updated data and applications, and a robust MyLab™ Math course.

Also available with MyLab Math 

MyLab™ Math is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab Math personalizes the learning experience and improves results for each student. Learn more about MyLab Math.

Details

  • A print text
  • Free shipping

I. A LIBRARY OF ELEMENTARY FUNCTIONS

  • 1. Linear Equations and Graphs
    • 1.1 Linear Equations and Inequalities
    • 1.2 Graphs and Lines
    • 1.3 Linear Regression
    • Chapter 1 Summary and Review
    • Review Exercises
  • 2. Functions and Graphs
    • 2.1 Functions
    • 2.2 Elementary Functions: Graphs and Transformations
    • 2.3 Quadratic Functions
    • 2.4 Polynomial and Rational Functions
    • 2.5 Exponential Functions
    • 2.6 Logarithmic Functions
    • Chapter 2 Summary and Review
    • Review Exercises

II. FINITE MATHEMATICS

  • 3. Mathematics of Finance
    • 3.1 Simple Interest
    • 3.2 Compound and Continuous Compound Interest
    • 3.3 Future Value of an Annuity; Sinking Funds
    • 3.4 Present Value of an Annuity; Amortization
    • Chapter 3 Summary and Review
    • Review Exercises
  • 4. Systems of Linear Equations; Matrices
    • 4.1 Review: Systems of Linear Equations in Two Variables
    • 4.2 Systems of Linear Equations and Augmented Matrices
    • 4.3 Gauss – Jordan Elimination
    • 4.4 Matrices: Basic Operations
    • 4.5 Inverse of a Square Matrix
    • 4.6 Matrix Equations and Systems of Linear Equations
    • 4.7 Leontief Input – Output Analysis
    • Chapter 4 Summary and Review
    • Review Exercises
  • 5. Linear Inequalities and Linear Programming
    • 5.1 Linear Inequalities in Two Variables
    • 5.2 Systems of Linear Inequalities in Two Variables
    • 5.3 Linear Programming in Two Dimensions: A Geometric Approach
    • Chapter 5 Summary and Review
    • Review Exercises
  • 6. Linear Programming: The Simplex Method
    • 6.1 The Table Method: An Introduction to the Simplex Method
    • 6.2 The Simplex Method: Maximization with Problem Constraints of the Form ≤
    • 6.3 The Dual Problem: Minimization with Problem Constraints of the Form ≥
    • 6.4 Maximization and Minimization with Mixed Problem Constraints
    • Chapter 6 Summary and Review
    • Review Exercises
  • 7. Logic, Sets, and Counting
    • 7.1 Logic
    • 7.2 Sets
    • 7.3 Basic Counting Principles
    • 7.4 Permutations and Combinations
    • Chapter 7 Summary and Review
    • Review Exercises
  • 8. Probability
    • 8.1 Sample Spaces, Events, and Probability
    • 8.2 Union, Intersection, and Complement of Events; Odds
    • 8.3 Conditional Probability, Intersection, and Independence
    • 8.4 Bayes’ Formula
    • 8.5 Random Variable, Probability Distribution, and Expected Value
    • Chapter 8 Summary and Review
    • Review Exercises
  • 9. Markov Chains
    • 9.1 Properties of Markov Chains
    • 9.2 Regular Markov Chains
    • 9.3 Absorbing Markov Chains
    • Chapter 9 Summary and Review
    • Review Exercises
  • 10. Data Description and Probability Distributions
    • 10.1 Graphing Data
    • 10.2 Measures of Central Tendency
    • 10.3 Measures of Dispersion
    • 10.4 Bernoulli Trials and Binomial Distributions
    • 10.5 Normal Distributions
    • Chapter 10 Summary and Review
    • Review Exercises
  • 11. Games and Decisions (online at goo.gl/6VBjkQ)
    • 11.1 Strictly Determined Games
    • 11.2 Mixed-Strategy Games
    • 11.3 Linear Programming and 2 x 2 Games: A Geometric Approach
    • 11.4 Linear Programming and m x n Games: Simplex Method and the Dual Problem
    • Chapter 11 Summary and Review
    • Review Exercises

Appendix A: Basic Algebra Review

  • A.1 Real Numbers
  • A.2 Operations on Polynomials
  • A.3 Factoring Polynomials
  • A.4 Operations on Rational Expressions
  • A.5 Integer Exponents and Scientific Notation
  • A.6 Rational Exponents and Radicals
  • A.7 Quadratic Equations

Appendix B: Special Topics (online at goo.gl/mjbXrG)

  • B.1 Sequences, Series, and Summation Notation
  • B.2 Arithmetic and Geometric Sequences
  • B.3 Binomial Theorem

Appendix C: Area under the Standard Normal Curve

Answers

Index

Index of Applications

About our authors

Raymond A. Barnett, a native of California, received his B.A. in mathematical statistics from the University of California at Berkeley and his M.A. in mathematics from the University of Southern California. He has been a member of the Merritt College Mathematics Department, and was chairman of the department for 4 years. Raymond Barnett has authored or co-authored 18 textbooks in mathematics, most of which are still in use. In addition to international English editions, a number of books have been translated into Spanish.

The late Michael R. Ziegler received his B.S. from Shippensburg State College and his M.S. and Ph.D. from the University of Delaware. After completing postdoctoral work at the University of Kentucky, he was appointed to the faculty of Marquette University where he held the rank of Professor in the Department of Mathematics, Statistics and Computer Science. Dr. Ziegler published over a dozen research articles in complex analysis and co-authored 11 undergraduate mathematics textbooks with Raymond A. Barnett, and more recently, Karl E. Byleen.

Karl E. Byleen received his B.S., M.A. and Ph.D. degrees in mathematics from the University of Nebraska. He is currently an Associate Professor in the Department of Mathematics, Statistics and Computer Science of Marquette University. He has published a dozen research articles on the algebraic theory of semigroups.

Christopher J. Stocker received his B.S. in mathematics and computer science from St. John’s University in Minnesota and his M.A. and Ph.D. degrees in mathematics from the University of Illinois in Urbana-Champaign.  He is currently an Adjunct Assistant Professor in the Department of Mathematics, Statistics, and Computer Science of Marquette University.  He has published 8 research articles in the areas of graph theory and combinatorics.

New and updated features of this title

  • NEW: A full-color redesign with a modern layout helps students navigate more easily and motivate them as they put in the hard work to learn the mathematics.
  • REVISED: All graphing calculator screens have been updated to TI-84 Plus CE (color) format.
  • NEW: Reminder features in the side margin either remind students of a concept that is needed at that point in the book, or direct the student back to the section in which it was covered earlier.
  • REVISED: All 3-dimensional figures in the text have been revised using the latest software; the difference is very striking in most cases, and makes the figures more effective for teaching and learning.
  • UPDATED: Updated data in examples and exercises throughout; Many modern and student-centered applications have been added to help students see the relevance of the content.
  • NEW: 611 new exercises have been added throughout the text.

Hallmark features of this title

  • More than 4200 exercises are carefully selected and graded by difficulty.
  • Prerequisite skills are assessed at the start of the text and revisited before each exercise set.
  • Paired exercises of the same type/difficulty level allow control over student use of answers (odd answers are at the back of the text).
  • Ample, current applications show the relevance of math and enable students to create and interpret mathematical models.
  • Optional graphing-utility and spreadsheet examples and exercises encourage deeper understanding of concepts and prompt students to practice using tools they will likely use in the workplace.
  • Calculus coverage features early treatment of exponential and logarithmic functions plus more in-depth coverage of topics than other texts.

Finite Mathematics for Business, Economics, Life Sciences, and Social Sciences offers you more built-in guidance than any other applied calculus text available. Its coverage of the construction of mathematical models helps you develop critical tools for solving application problems. Technology coverage is optional, but discussions on using graphing calculators and spreadsheets are included where appropriate.

The 14th Edition features a brand-new, full-color redesign and updated layout to help you navigate more easily as you put in the work to learn the math. Throughout, data is updated in examples and exercises. New features include Reminder margin notes; all graphing calculator screens are updated to the TI-84 Plus CD; and much more.

This print textbook is available for students to rent for their classes. The Pearson print rental program provides students with affordable access to learning materials, so they come to class ready to succeed.

Additional information

Dimensions 1.20 × 8.50 × 10.80 in
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Format

ISBN-13

ISBN-10

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Subjects

mathematics, higher education, applied math, Calculus, Applied & Advanced Math, Finite Math