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Viewing Life Mathematically, 2nd Edition
Viewing Life Mathematically, 2nd Edition
Chapter 1: Critical Thinking and Problem Solving
1.1
Thinking Mathematically
1.2
Estimating and Evaluating
1.3
Problem Solving: Processes and Techniques
Chapter 2: Set Theory
2.1
Set Notation
2.2
Subsets and Venn Diagrams
2.3
Operations with Sets
2.4
Applications and Survey Analysis
Chapter 3: Logic
3.1
Logic Statements and Their Negations
3.2
Truth Tables
3.3
Logical Equivalence and De Morgan's Laws
3.4
Valid Arguments and Fallacies
Chapter 4: Ratios, Percentages, Rates, and Proportionality
4.1
Proportions, Percentages, and Ratios
4.2
Using Percentages
4.3
Rates, Unit Rates, and Rates of Change
4.4
Using Rates for Dimensional Analysis
4.5
Proportionality
Chapter 5: Algebra: Equations, Inequalities, and Functions
5.1
Linear Equations and Functions
5.2
Linear Modeling
5.3
Solving Linear Systems of Equations in Two Variables
5.4
Linear Inequalities in Two Variables
5.5
Linear Programming
5.6
Modeling with Quadratics
5.7
Exponential and Logarithmic Functions
Chapter 6: Finance
6.1
Understanding Interest
6.2
Saving and Investing
6.3
Borrowing Money
6.4
Federal Revenue
6.5
Budgeting
Chapter 7: Numeration and Measurement Systems
7.1
Numeral Systems Based on Position
7.2
Early Numeral Systems
7.3
Working with Base Number Systems
7.4
The Metric System
7.5
Converting between the US Customary System and the Metric System
Chapter 8: Number Theory
8.1
Prime Numbers
8.2
Modular Arithmetic
8.3
Fermat's Little Theorem and Prime Testing
8.4
Fermat's Little Theorem and Public-Key Encryption
Chapter 9: Geometry
9.1
Two-Dimensional Geometry
9.2
Three-Dimensional Geometry
9.3
Angles and Trigonometry
Chapter 10: Probability
10.1
Introduction to Probability
10.2
Counting Outcomes
10.3
Probability of Single Events
10.4
Addition and Multiplication Rules of Probability
10.5
Binomial Probability
10.6
Expected Value
Chapter 11: Statistics
11.1
Statistical Studies
11.2
Displaying Data
11.3
Describing and Analyzing Data
11.4
The Normal Distribution
11.5
Confidence Intervals
Chapter 12: Data Science
12.1
The Science of Data
12.2
Data Wrangling
12.3
Data Exploration
12.4
Data Storytelling
Chapter 13: Voting and Apportionment
13.1
How to Determine a Winner
13.2
Flaws in Voting Methods
13.3
Apportionment
13.4
Weighted Voting Systems
Chapter 14: Graph Theory
14.1
Introduction to Graph Theory
14.2
Trees
14.3
Matchings
14.4
Planar Graphs