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9780137616848

MyLab Math with Pearson eText -- 24-Month Combo Access Card -- for Finite Mathematics & Its Applications

by
  • ISBN13:

    9780137616848

  • ISBN10:

    0137616848

  • Edition: 13th
  • Format: Package
  • Copyright: 2022-02-22
  • Publisher: PEARSO
  • Purchase Benefits
List Price: $266.59 Save up to $79.10
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How Access Codes Work

Summary

Finite Mathematics & Its Applications is packed with everyday applications like consumer loans, IRAs and mortgages to give you a solid foundation in math for future courses, careers and daily life. Built-in instruction on the latest technology incorporates graphing calculators, spreadsheets and Wolfram|Alpha®. Thousands of well-crafted exercises enable a wide range of practice in skills, applications, concepts and technology. This adaptable, student-oriented approach enables independent learning and study, while demonstrating how concepts apply to future careers.

Personalize learning with MyLab Math with Pearson eText

This flexible digital platform combines unrivaled content, online assessments, and customizable features to 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: This MyLab combo access pack includes a MyLab access card plus a loose-leaf print version (delivered by mail) to complement your MyLab experience. To register for and use MyLab, you will need either a course ID from your instructor or an invitation link that your instructor will send you directly.

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

About our authors

Larry Goldstein has received several distinguished teaching awards, given more than 50 conference and colloquium talks and addresses, and written more than 50 books in math and computer programming. He received his PhD at Princeton and his BA and MA at the University of Pennsylvania. He also teaches part time at Drexel University.

David Schneider, who is known widely for his tutorial software, holds a BA degree from Oberlin College and a PhD from MIT. He is currently an emeritus professor of mathematics at the University of Maryland. He has authored 8 widely used math texts, 14 highly acclaimed computer books, and 3 widely used mathematical software packages. He has also produced instructional videotapes at both the University of Maryland and the BBC.

Martha Siegel holds a BA from Russell Sage College, attended Rensselaer Polytechnic Institute as a special student and received her PhD at the University of Rochester. From 1966 until 1971 she taught at Goucher University in Baltimore. Since 1971 she has been a professor at Towson State University, also in Maryland. Professor Siegel has been on the writing team of this book since the 5th Edition and is also the co-author of a precalculus reform book.

Table of Contents

PART ONE

  1. Linear Equations and Straight Lines
    • 1.1 Coordinate Systems and Graphs
    • 1.2 The Slope of a Line
    • 1.3 The Intersection Point of a Pair of Lines
    • 1.4 The Method of Least Squares
    • Chapter Summary and Chapter Review Exercises
    • Chapter Project: Break-Even Analysis
  2. Matrices
    • 2.1 Systems of Linear Equations with Unique Solutions
    • 2.2 General Systems of Linear Equations
    • 2.3 Arithmetic Operations on Matrices
    • 2.4 The Inverse of a Matrix
    • 2.5 The Gauss-Jordan Method for Calculating Inverses
    • 2.6 Input-Output Analysis
    • Chapter Summary and Chapter Review Exercises
    • Chapter Project: Population Dynamics
  3. Linear Programming, A Geometric Approach
    • 3.1 Linear Inequalities
    • 3.2 A Linear Programming Problem
    • 3.3 Fundamental Theorem of Linear Programming
    • 3.4 Linear Programming
    • Chapter Summary and Chapter Review Exercises
    • Chapter Project: Shadow Prices
  4. The Simplex Method
    • 4.1 Slack Variables and the Simplex Tableau
    • 4.2 The Simplex Method I: Maximum Problems
    • 4.3 The Simplex Method II: Nonstandard and Minimum Problems
    • 4.4 Sensitivity Analysis and Matrix Formulations of Linear Programming Problems
    • 4.5 Duality
    • Chapter Summary and Chapter Review Exercises
    • Chapter Project: Shadow Prices Revisited

PART TWO

  1. Sets and Counting
    • 5.1 Sets
    • 5.2 A Fundamental Principle of Counting
    • 5.3 Venn Diagrams and Counting
    • 5.4 The Multiplication Principle
    • 5.5 Permutations and Combinations
    • 5.6 Further Counting Techniques
    • 5.7 The Binomial Theorem
    • 5.8 Multinomial Coefficients and Partitions
    • Chapter Summary and Chapter Review Exercises
    • Chapter Project: Pascal's Triangle
  2. Probability
    • 6.1 Experiments, Outcomes, Sample Spaces, and Events
    • 6.2 Assignment of Probabilities
    • 6.3 Calculating Probabilities of Events
    • 6.4 Conditional Probability and Independence
    • 6.5 Tree Diagramsv
    • 6.6 Bayes' Theorem, Natural Frequencies
    • 6.7 Simulation
    • Chapter Summary and Chapter Review Exercises
    • Chapter Project: Two Paradoxes
  3. Probability and Statistics
    • 7.1 Visual Representations of Data
    • 7.2 Frequency and Probability Distributions
    • 7.3 Binomial Trials
    • 7.4 The Mean
    • 7.5 The Variance and Standard Deviation
    • 7.6 The Normal Distribution
    • 7.7 Normal Approximation to the Binomial Distribution
    • Chapter Summary and Chapter Review Exercises
    • Chapter Project: An Unexpected Expected Value

PART THREE

  1. Markov Processes
    • 8.1 The Transition Matrix
    • 8.2 Regular Stochastic Matrices
    • 8.3 Absorbing Stochastic Matrices
    • Chapter Summary and Chapter Review Exercises
    • Chapter Project: Doubly Stochastic Matrices
  2. The Theory of Games
    • 9.1 Games and Strategies
    • 9.2 Mixed Strategies
    • 9.3 Determining Optimal Mixed Strategies
    • Chapter Summary and Chapter Review Exercises
    • Chapter Project: Simulating The Outcomes of Mixed-Strategy Games

PART FOUR

  1. The Mathematics of Finance
    • 10.1 Interest
    • 10.2 Annuities
    • 10.3 Amortization of Loans
    • 10.4 Personal Financial Decisions
    • 10.5 A Unifying Equation
    • Chapter Summary and Chapter Review Exercises
    • Chapter Project: Two Items of Interest
  2. Logic
    • 11.1 Introduction to Logic
    • 11.2 Truth Tables
    • 11.3 Implication
    • 11.4 Logical Implication and Equivalence
    • 11.5 Valid Argument
    • 11.6 Predicate Calculus
    • 11.7 Logic Circuits
    • Chapter Summary and Chapter Review Exercises
    • Chapter Project: A Logic Puzzle
  3. Difference Equations and Mathematical Models (online)
    • 12.1 Introduction to Difference Equations
    • 12.2 Difference Equations and Interest
    • 12.3 Graphing Difference Equations
    • 12.4 Mathematics of Personal Finance
    • 12.5 Modeling with Difference Equations
    • Chapter Summary and Chapter Review Exercises
    • Chapter Project: Connections to Markov Processes

APPENDICES

  1. Areas Under the Standard Normal Curve
  2. The TI-83/84 Plus Graphing Calculator
  3. Spreadsheet Fundamentals
  4. Wolfram Alpha

Learning Objectives

Index of Applications

Index

Supplemental Materials

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