30.00$ - Purchase this E-book
Category : Higher Education
Chapter 1 Algebra and Equations 1.1 The Real Numbers 1.2 Polynomials 1.3 Factoring 1.4 Rational Expressions 1.5 Exponents and Radicals 1.6 First-Degree Equations 1.7 Quadratic Equations Case 1: Consumers Often Defy Common Sense Chapter 2 Graphs, Lines, and Inequalities 2.1 Graphs 2.2 Equations of Lines 2.3 Linear Models 2.4 Linear Inequalities 2.5 Polynomial and Rational Inequalities Case 2: Using Extrapolation to Predict Life Expectancy Chapter 3 Functions and Graphs 3.1 Functions 3.2 Graphs of Functions 3.3 Applications of Linear Functions 3.4 Quadratic Functions 3.5 Applications of Quadratic Functions 3.6 Polynomial Functions 3.7 Rational Functions Case 3: Architectural Arches Chapter 4 Exponential and Logarithmic Functions 4.1 Exponential Functions 4.2 Applications of Exponential Functions 4.3 Logarithmic Functions 4.4 Logarithmic and Exponential Equations Case 4: Characteristics of the Monkeyface Prickleback Chapter 5 Mathematics of Finance 5.1 Simple Interest and Discount 5.2 Compound Interest 5.3 Future Value of an Annuity and Sinking Funds 5.4 Present Value of an Annuity and Amortization Case 5: Time, Money, and Polynomials Chapter 6 Systems of Linear Equations and Matrices 6.1 Systems of Linear Equations 6.2 The Gauss-Jordan Method 6.3 Basic Matrix Operations 6.4 Matrix Products and Inverses 6.5 Applications of Matrices Case 6: Matrix Operations and Airline Route Maps Chapter 7 Linear Programming 7.1 Graphing Linear Inequalities in Two Variables 7.2 Linear Programming: The Graphical Method 7.3 Applications of Linear Programming 7.4 The Simplex Method: Maximization 7.5 Maximization Applications 7.6 The Simplex Method: Duality and Minimization 7.7 The Simplex Method: Nonstandard Problems Case 7: Cooking with Linear Programming Chapter 8 Sets and Probability 8.1 Sets 8.2 Applications of Venn Diagrams 8.3 Introduction to Probability 8.4 Basic Concepts of Probability 8.5 Conditional Probability and Independent Events 8.6 Bayes’ Formula Case 8: Medical Diagnosis Chapter 9 Counting, Probability Distributions, and Further Topics in Probability 9.1 Probability Distributions and Expected Value 9.2 The Multiplication Principle, Permutations, and Combinations 9.3 Applications of Counting 9.4 Binomial Probability 9.5 Markov Chains 9.6 Decision Making Case 9: Optimal Inventory for a Service Truck Chapter 10 Introduction to Statistics 10.1 Frequency Distributions and Measures of Central Tendency 10.2 Measures of Variation 10.3 Normal Distributions 10.4 Normal Approximation to the Binomial Distribution Case 10: Statistics in the Law–The Castaneda Decision Table of Contents
Get Finite Math with Applications, 9th Edition by Margaret L. Lial, American River College Thomas W. Hungerford, Saint Louis University John P. Holcomb, Cleveland State University
0 commentaires:
Enregistrer un commentaire