Viewing Life Mathematically, 2nd Edition

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Viewing Life Mathematically: A Pathway to Quantitative Literacy, 2nd Edition

by Kimberly Denley

Viewing Life Mathematically: A Pathway to Quantitative Literacy, Second Edition, by Kimberly Denley provides students with practical, relevant, real-world mathematical experiences designed to build quantitative literacy while exploring how mathematics is used in our modern, global society. The curriculum is flexible and can be used in a variety of general education contexts to design courses that help students develop fluency through problem solving while building conceptual understanding of real-world mathematics.

Significant enhancements of the second edition include new section-level projects and updated chapter-level projects that give students the opportunity to put their mathematical understandings to work in real and relevant contexts. These targeted and cumulative projects along with a substantial expansion in exercise sets make this title the perfect choice for project-based courses. Additional chapters now cover the essentials of algebra to ensure that students have a strong mathematical foundation. The wide range of content coverage allows for faculty curation of topics molding the title to fit the needs of any applied mathematics course.

Formats: Software, Textbook, eBook

Product ISBN
Software + eBook 978-1-64277-496-2
Software + eBook + Textbook 978-1-64277-493-1

Table of Contents

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