
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.
Cloth
ISBN 0139131795

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Finite MathematicsMathematics

For Freshmen/Sophomorelevel, 1 term or 1 quarter courses
in Finite Mathematics in the departments of business, economics, social
sciences, or life sciences.
This midlevel text covers mathematics of finance, linear
algebra, linear programming, probability, and descriptive statistics,
with an emphasis on crossdiscipline 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 ExploreDiscuss
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 uptodate 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 realworld problem.
ExploreDiscuss 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.
I. A LIBRARY OF ELEMENTARY FUNCTIONS.
1. A Beginning Library of Elementary Functions.
2. Additional Elementary Functions.
II. FINITE MATHEMATICS.
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.
APPENDICES.
Appendix A. Basic Algebra Review SelfTest on Basic Algebra.
Appendix B. Special Topics.
Appendix C. Tables.
Answers.
Index.
