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Finite mathematics for business, economics, life sciences, and social sciences için kapak resmi
Başlık:
Finite mathematics for business, economics, life sciences, and social sciences
Yazar:
Barnett, Raymond A. author
ISBN:
9781292062297
Yazar Ek Girişi:
Basım Bilgisi:
Thirteenth edition.
Fiziksel Tanımlama:
1 volume (various pagings) : illustrations (some color) ; 29 cm
Genel Not:
Includes index.
İçerik:
This text contains examples and exercises illustrating the use of regression techniques to analyze real data. Graphing calculator and spreadsheets output is included.
Özet:
Diagnostic Prerequisite Test PART ONE: A LIBRARY OF ELEMENTARY FUNCTIONS 1. Linear Equations and Graphs1.1 Linear Equations and Inequalities1.2 Graphs and Lines1.3 Linear Regression Chapter 1 Review Review Exercises 2. Functions and Graphs2.1 Functions2.2 Elementary Functions: Graphs and Transformations2.3 Quadratic Functions2.4 Polynomial and Rational Functions2.5 Exponential Functions2.6 Logarithmic Functions Chapter 2 Review Review Exercises PART TWO: FINITE MATHEMATICS 3. Mathematics of Finance3.1 Simple Interest3.2 Compound and Continuous Compound Interest3.3 Future Value of an Annuity; Sinking Funds3.4 Present Value of an Annuity; Amortization Chapter 3 Review Review Exercises 4. Systems of Linear Equations; Matrices4.1 Review: Systems of Linear Equations in Two Variables4.2 Systems of Linear Equations and Augmented Matrices4.3 Gauss-Jordan Elimination4.4 Matrices: Basic Operations4.5 Inverse of a Square Matrix4.6 Matrix Equations and Systems of Linear Equations4.7 Leontief Input-Output Analysis Chapter 4 Review Review Exercises 5. Linear Inequalities and Linear Programming5.1 Linear Inequalities in Two Variables5.2 Systems of Linear Inequalities in Two Variables5.3 Linear Programming in Two Dimensions: A Geometric Approach Chapter 5 Review Review Exercises 6. Linear Programming: The Simplex Method6.1 the Table Method: An Introduction to the Simplex Method6.2 The Simplex Method: Maximization with Problem Constraints of the Form â ¤6.3 The Dual; Minimization with Problem Constraints of the form 6.4 Maximization and Minimization with Mixed Problem Constraints Chapter 6 Review Review Exercises 7. Logic, Sets, and Counting7.1 Logic7.2 Sets7.3 Basic Counting Principles7.4 Permutations and Combinations Chapter 7 Review Review Exercises 8. Probability8.1 Sample Spaces, Events, and Probability8.2 Union, Intersection, and Complement of Events; Odds8.3 Conditional Probability, Intersection, and Independence8.4 Bayes' Formula8.5 Random Variables, Probability Distribution, and Expected Value Chapter 8 Review Review Exercises 9. Markov Chains9.1 Properties of Markov Chains9.2 Regular Markov Chains9.3 Absorbing Markov Chains Chapter 9 Review Review Exercises 10. Games and Decisions10.1 Strictly Determined Games10.2 Mixed Strategy Games10.3 Linear Programming and 2 x 2 Games-Geometric Approach10.4 Linear Programming and m x n Games-Simplex Method and the Dual Chapter 10 Review Review Exercises 11. Data Description and Probability Distributions11.1 Graphing Data11.2 Measures of Central Tendency11.3 Measures of Dispersion11.4 Bernoulli Trials and Binomial Distributions11.5 Normal Distributions Chapter 11 Review Review Exercises APPENDICESA. Basic Algebra ReviewA.1 Algebra and Real NumbersA.2 Operations on PolynomialsA.3 Factoring PolynomialsA.4 Operations on Rational ExpressionsA.5 Integer Exponents and Scientific NotationA.6 Rational Exponents and RadicalsA.7 Quadratic Equations B. Special TopicsB.1 Sequences, Series, and Summation NotationB.2 Arithmetic and Geometric SequencesB.3 Binomial Theorem C. TablesTable I. Area Under the Standard Normal CurveTable II. Basic Geometric Formulas AnswersIndexApplications Index
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