Finite Mathematics / Edition 9

Finite Mathematics / Edition 9

by Margaret Lial, Raymond N. Greenwell, Nathan P. Ritchey
     
 

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ISBN-10: 0321428293

ISBN-13: 9780321428295

Pub. Date: 10/16/2007

Publisher: Pearson

Finite Mathematics, Tenth Edition, by Lial, Greenwell, and Ritchey, is our most applied text to date, making the math relevant and accessible for students of business, life science, and social sciences. Current applications, many using real data, are incorporated in numerous forms throughout the book, preparing students for success in their professional careers

Overview

Finite Mathematics, Tenth Edition, by Lial, Greenwell, and Ritchey, is our most applied text to date, making the math relevant and accessible for students of business, life science, and social sciences. Current applications, many using real data, are incorporated in numerous forms throughout the book, preparing students for success in their professional careers. With this edition, students will find new ways to get involved with the material, such as “Your Turn” exercises and “Apply It” vignettes that encourage active participation.

Product Details

ISBN-13:
9780321428295
Publisher:
Pearson
Publication date:
10/16/2007
Edition description:
New Edition
Pages:
744
Product dimensions:
8.17(w) x 10.58(h) x 1.14(d)

Table of Contents

R. Algebra Reference.
R.1 Polynomials.
R.2 Factoring.
R.3 Rational Expressions.
R.4 Equations.
R.5 Inequalities.
R.6 Exponents.
R.7 Radicals.

1. Linear Functions.
1.1 Slopes and Equations of Lines.
1.2 Linear Functions and Applications.
1.3 The Least Squares Line.

2. Systems of Linear Equations and Matrices.
2.1 Solution of Linear Systems by the Echelon Method.
2.2 Solution of Linear Systems by the Gauss-Jordan Method.
2.3 Addition and Subtraction of Matrices.
2.4 Multiplication of Matrices.
2.5 Matrix Inverses.
2.6 Input-Output Models.

3. Linear Programming: The Graphical Method.
3.1 Graphing Linear Inequalities.
3.2 Solving Linear Programming Problems Graphically.
3.3 Applications of Linear Programming.

4. Linear Programming: The Simplex Method.
4.1 Slack Variables and the Pivot.
4.2 Maximization Problems.
4.3 Minimization Problems; Duality.
4.4 Nonstandard Problems.

5. Mathematics of Finance.
5.1 Simple and Compound Interest.
5.2 Future Value of an Annuity.
5.3 Present Value of an Annuity; Amortization.

6. Logic.
6.1 Statements and Quantifiers.
6.2 Truth Tables and Equivalent Statements.
6.3 The Conditional and Circuits.
6.4 More on the Conditional.
6.5 AnalyzingArguments with Euler Diagrams.
6.6 Analyzing Arguments with Truth Tables.

7. Sets and Probability.
7.1 Sets.
7.2 Applications of Venn Diagrams.
7.3 Introduction to Probability.
7.4 Basic Concepts of Probability.
7.5 Conditional Probability; Independent Events.
7.6 Bayes' Theorem.

8. Counting Principles; Further Probability Topics.
8.1 The Multiplication Principle; Permutations.
8.2 Combinations.
8.3 Probability Applications of Counting Principles.
8.4 Binomial Probability.
8.5 Probability Distributions; Expected Value.

9. Statistics.
9.1 Frequency Distributions; Measures of Central Tendency.
9.2 Measures of Variation.
9.3 The Normal Distribution.
9.4 Normal Approximation to the Binomial Distribution.

10. Markov Chains.
10.1 Basic Principles of Markov Chains.
10.2 Regular Markov Chains.
10.3 Absorbing Markov Chains.

11. Game Theory.
11.1 Strictly Determined Games.
11.2 Mixed Strategies.
11.3 Game Theory and Linear Programming.

Tables.
Table 1: Area Under a Normal Curve.

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