Finite Mathematics for the Managerial, Life, and Social Sciences 12th edition

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• Chapter 1: Straight Lines and Linear Functions
  • 1.1: The Cartesian Coordinate System
  • 1.2: Straight Lines
  • 1.3: Linear Functions and Mathematical Models
  • 1.4: Intersection of Straight Lines
  • 1.5: The Method of Least Squares
  • 1: Review Exercises
  
  
• Chapter 2: Systems of Linear Equations and Matrices
  • 2.1: Systems of Linear Equations: An Introduction
  • 2.2: Systems of Linear Equations: Unique Solutions
  • 2.3: Systems of Linear Equations: Underdetermined and Overdetermined Systems
  • 2.4: Matrices
  • 2.5: Multiplication of Matrices
  • 2.6: The Inverse of a Square Matrix
  • 2.7: Leontief Input–Output Model
  • 2: Review Exercises
  
  
• Chapter 3: Linear Programming: A Geometric Approach
  • 3.1: Graphing Systems of Linear Inequalities in Two Variables
  • 3.2: Linear Programming Problems
  • 3.3: Graphical Solution of Linear Programming Problems
  • 3.4: Sensitivity Analysis
  • 3: Review Exercises
  
  
• Chapter 4: Linear Programming: An Algebraic Approach
  • 4.1: The Simplex Method: Standard Maximization Problems
  • 4.2: The Simplex Method: Standard Minimization Problems
  • 4.3: The Simplex Method: Nonstandard Problems
  • 4: Review Exercises
  
  
• Chapter 5: Mathematics of Finance
  • 5.1: Compound Interest
  • 5.2: Annuities
  • 5.3: Amortization and Sinking Funds
  • 5.4: Arithmetic and Geometric Progressions
  • 5: Review Exercises
  
  
• Chapter 6: Sets and Counting
  • 6.1: Sets and Set Operations
  • 6.2: The Number of Elements in a Finite Set
  • 6.3: The Multiplication Principle
  • 6.4: Permutations and Combinations
  • 6: Review Exercises
  
  
• Chapter 7: Probability
  • 7.1: Experiments, Sample Spaces, and Events
  • 7.2: Definition of Probability
  • 7.3: Rules of Probability
  • 7.4: Use of Counting Techniques in Probability
  • 7.5: Conditional Probability and Independent Events
  • 7.6: Bayes' Theorem
  • 7: Review Exercises
  
  
• Chapter 8: Probability Distributions and Statistics
  • 8.1: Distributions of Random Variables
  • 8.2: Expected Value
  • 8.3: Variance and Standard Deviation
  • 8.4: The Binomial Distribution
  • 8.5: The Normal Distribution
  • 8.6: Applications of the Normal Distribution
  • 8: Review Exercises
  
  
• Chapter 9: Markov Chains and the Theory of Games
  • 9.1: Markov Chains
  • 9.2: Regular Markov Chains
  • 9.3: Absorbing Markov Chains
  • 9.4: Game Theory and Strictly Determined Games
  • 9.5: Games with Mixed Strategies
  • 9: Review Exercises
  
  
• Chapter A: Introduction to Logic
  • A.1: Propositions and Connectives
  • A.2: Truth Tables
  • A.3: The Conditional and Biconditional Connectives
  • A.4: Laws of Logic
  • A.5: Arguments
  • A.6: Applications of Logic to Switching Networks
  
  
• Chapter B: The System of Real Numbers
  • B.1: The System of Real Numbers
  
  
• Chapter C: Review of Logarithms
  • C.1: Review of Logarithms
  
  
• Chapter D: Tables
  • D.1: Binomial Probabilities
  • D.2: The Standard Normal Distribution