h2. Chapter R A Review of Algebra Fundamentals.
R.1 Real Numbers and Mathematical Operations.
R.2 Solving Linear Equations.
R.4 Scientific Notation.
h2. Chapter 1 Fundamentals of Mathematical Modeling.
1.1 Mathematical Models.
1.3 Ratio and Proportion.
1.4 Word Problem Strategies.
h2. Chapter 2 Applications of Algebraic Modeling.
2.1 Models and Patterns in Plane Geometry.
2.2 Models and Patterns in Triangles.
2.3 Models and Patterns in Right Triangles.
2.4 Right Triangle Trigonometry.
2.5 Models and Patterns in Art, Architecture, and Nature.
2.6 Models and Patterns in Music.
h2. Chapter 3 Graphing.
3.1 Rectangular Coordinate System.
3.2 Graphing Linear Equations.
3.4 Writing Equations of Lines.
3.5 Applications and Uses of Graphs.
h2. Chapter 4 Functions.
4.2 Using Function Notation.
4.3 Linear Functions as Models.
4.4 Direct and Inverse Variation.
4.5 Quadratic Functions and Power Functions as Models.
4.6 Exponential Functions as Models.
h2. Chapter 5 Mathematical Models in Consumer Math.
5.1 Mathematical Models in the Business World.
5.2 Mathematical Models in Banking.
5.3 Mathematical Models in Consumer Credit.
5.4 Mathematical Models in Purchasing an Automobile.
5.5 Mathematical Models in Purchasing a Home.
5.6 Mathematical Models in Insurance Options and Rates.
5.7 Mathematical Models in Stocks, Mutual Funds, and Bonds.
5.8 Mathematical Models in Personal Income.
h2. Chapter 6 Modeling with Systems of Equations.
6.1 Solving Systems by Graphing.
6.2 Solving Systems Algebraically
6.3 Applications of Linear Systems.
6.4 Systems of Nonlinear Equations.
h2. Chapter 7 Probability Models
7.1 Sets and Set Theory.
7.2 What is Probability.
7.3 Theoretical Probability.
7.5 Tree Diagrams.
7.6 Or Problems
7.7 And Problems.
7.8 The Counting Principle, Permutations, and Combinations.
h2. Chapter 8 Modeling with Statistics.
8.1 Introduction to Statistics.
8.2 Reading and Interpreting Graphical Information.
8.3 Frequency Tables and Histograms.
8.4 Descriptive Statistics.
8.6 Box-and-Whisker Plots and Normal Curves.
8.7 Scatter Diagrams and Linear Regression.