[Book Cover]

Finite Mathematics for Business, Economics, Life Sciences and Social Sciences, 8/e

Raymond A. Barnett, Emeritus, Merritt College
Michael R. Ziegler, Marquette University
Karl E. Byleen, Marquette University

Published August, 1998 by Prentice Hall Engineering/Science/Mathematics

Copyright 1999, 701 pp.
ISBN 0-13-913179-5

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For Freshmen/Sophomore-level, 1 term or 1 quarter courses in Finite Mathematics in the departments of business, economics, social sciences, or life sciences. This mid-level text covers mathematics of finance, linear algebra, linear programming, probability, and descriptive statistics, with an emphasis on cross-discipline principles and practices. Designed to be student friendly and accessible, it develops a thorough, functional understanding of mathematical concepts in preparation for their application in other areas. Coverage concentrates on developing concepts and ideas followed immediately by developing computational skills and problem solving.


NEW—More optional technology examples and exercises—Using real data.

  • Technology such as graphing utilities and spreadsheets allow students to work problems that closely approximate real life situations.
NEW—Two group activities end each chapter—One involves technology.
  • Group activities help students learn from each other. Most occupations require work be done in a collaborative environment. Group activities prepare students for future occupations.
NEW—Reorganized appendix with added Explore-Discuss elements.
  • The appendices cover basic topics that students may need to review. Structuring the appendix more like a standard chapter allows for more thorough review and gives professors the option of addressing these topics as intensively as necessary.
NEW—Optional regression analysis—Includes graphing calculator and spreadsheet output.
  • Illustrates one of the basic tools of mathematical modeling with optional examples and exercises, so that students can relate the text topics to the real world. Ex.__
Large variety of up-to-date applications—Uses simplified versions of real models.
  • In addition to illustrating the relevance of mathematics to the real world, applications give students opportunities to create and interpret mathematical models.
Over 260 numbered worked examples—Many with lettered parts.
  • Well presented examples are essential to student comprehension and review.
“Matched” problem follows each example—With an answer near the end of the section.
  • Matched Problems allow students to check their understanding immediately following each example rather than waiting until the section is complete.
Over 3300 carefully selected and graded problems—Divided into A, B, and C levels of difficulty in each problem set.
Topic selection, coverage, and organization—From the course outlines and catalogs of many major colleges and universities.
  • This text presents the material in an order that takes into account the way the course is typically taught.
Algebra review in Appendix A.
  • Supplies a convenient reference to reinforce the essential skills necessary for success.
Emphasis on the construction of mathematical models—Especially in linear systems and linear programming.
  • Gives students a thorough introduction to this very important topic.
Thorough treatment of linear programming—Includes simplex; dual and big M methods utilizing slack; surplus; and artificial variables.
  • Introduces students to applications where the solution of the mathematical model must be carefully interpreted to find the solution of the real-world problem.
Explore-Discuss boxes—Interspersed in every section.
  • Encourages students to think about a relationship or process before a result is stated, or investigate additional consequences of a development in the text, so that they can better participate in the learning process and discussion—both in and out of class.

Table of Contents
    1. A Beginning Library of Elementary Functions.
    2. Additional Elementary Functions.

    3. Mathematics of Finance.
    4. Systems of Linear Equations; Matrices.
    5. Linear Inequalities and Linear Programming.
    6. Probability.
    7. Data Description and Probability Distributions.
    8. Games and Decisions.
    9. Markov Chains.
    Appendix A. Basic Algebra Review Self-Test on Basic Algebra.
    Appendix B. Special Topics.
    Appendix C. Tables.


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