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Finite Mathematics
ISBN: 9780321067142 | 0321067142
Edition: 7thFormat: Hardcover
Publisher: Addison Wesley
Pub. Date: 1/1/2002
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Finite Mathematics was written for the one-semester finite math course for students majoring in a variety of fieldsbusiness, economics, social science, and biological and physical science. Widely known for incorporating interesting, relevant, and realistic applications, this new edition now offers many more real applications citing current data sources. The new edition now offers more opportunities for use of technology, allowing for increased visualization and a better understanding of difficult concepts. A dedicated Web site rounds out the teaching and learning package, offering extended applications from the book, skill mastery quizzes, and graphing calculator programs tied to the text.
R. Algebra Reference.
1. Linear Functions.
2. Systems of Linear Equations and Matrices.
3. Linear Programming: The Graphical Method.
4. Linear Programming: The Simplex Method.
5. Mathematics of Finance.
6. Logic.
7. Sets and Probability.
8. Counting Principles; Further Probability Topics.
9. Statistics.
10. Markov Chains.
11. Game Theory.
Tables.
R.1 Polynomials.
R.2 Factoring.
R.3 Rational Expressions.
R.4 Equations.
R.5 Inequalities.
R.6 Exponents.
R.7 Radicals.
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.
1.2 Linear Functions and Applications.
1.3 The Least Squares Line.
2. Systems of Linear Equations and Matrices.
2.1 Solution ... MORE
3. Linear Programming: The Graphical Method.
3.1 Graphing Linear Inequalities.
3.2 Solving Linear Programming Problems Graphically.
3.3 Applications of Linear Programming.
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.
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.
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 Analyzing Arguments with Euler Diagrams.
6.6 Analyzing Arguments with Truth Tables.
6.2 Truth Tables and Equivalent Statements.
6.3 The Conditional and Circuits.
6.4 More on the Conditional.
6.5 Analyzing Arguments 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.
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.
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.
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.
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.
11.2 Mixed Strategies.
11.3 Game Theory and Linear Programming.
Tables.
Table 1: Area Under a Normal Curve.
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