LEARN
1
Set Theory
Ep. 1 Working with Sets (Chapter 1.1*)
Ep. 2 Venn Diagrams as Sets (Ch. 1.2)
Ep. 3 Solving for Set Sizes (Ch. 1.3)
Ep. 4 Cartesian Products (Ch. 1.1)
Ep. 6 Samples Spaces and Tree Diagrams (Ch. 1.4)
*Refers to the corresponding chapter in Finite Mathematics by Maki, Thompson, and McKinley, 6th Ed., 2017.
2
Probability
Ep. 1 Applying Set Theory to Probabilities (Chapter 2.1*)
Ep. 2 Equally Likely Outcomes (Ch. 2.1)
Ep. 5 Probabilities of Equally Likely Outcomes (Ch. 2.4)
Ep. 6 Principles of Advanced Probability (Ch. 3.1)
Ep. 7 Conditional Probability (Ch. 3.2)
Ep. 8 Independent Probabilities (Ch. 3.2)
Ep. 9 Stochastic Processes (Ch. 3.3)
Ep. 10 Bayes' Theorem (Ch. 3.4)
Ep. 11 Bernoulli Trials (Ch. 4.1)
Ep. 12 Random Variables (Ch. 4.2)
Ep. 13 Expected Values (or Why the House Always Wins) (Ch. 4.3)
Ep. 14 Variance and Standard Deviation (Ch. 4.3)
*Refers to the corresponding chapter in Finite Mathematics by Maki, Thompson, and McKinley, 6th Ed., 2017.
3
Linear Systems
Ep. 1 Understanding Line Graphs (Chapter 5.0-5.1*)
Ep. 2 Formulating Linear Equations (Ch. 5.2)
Ep. 3 Linear Equations with Two Variables (Ch. 5.2)
Ep. 4 Augmented Matrices (Ch. 5.3)
Ep. 5 Solutions with Arbitrary Variables (Ch. 5.3)
Ep. 6 Formulating Linear Inequalities (Ch. 7.0-7.1)
Ep. 7 Graphing Linear Inequalities (Ch. 7.2)
Ep. 8 Solving Linear Inequalities (Ch. 7.3)
Ep. 9 Linear Inequalities with No Solution (Ch. 7.3)
*Refers to the corresponding chapter in Finite Mathematics by Maki, Thompson, and McKinley, 6th Ed., 2017.
4
Matrices and Markov Chains
Ep. 1 Matrix Basics (Chapter 6.1*)
Ep. 2 Matrix Inverses (Ch. 6.2)
Ep. 3 Explaining Linear Economic Models (Ch. 6.3)
Ep. 4 Solving Linear Economic Models (Ch. 6.3)
Ep. 5 Introduction to Markov Chains (Ch. 8.1)
Ep. 6 Multi-Step Matrices (Ch. 8.2)
Ep. 8 Regular Markov Chains in the Long Run (Ch. 8.3)
Ep. 9 Absorbing Markov Chains (Ch. 8.4)
Ep. 10 The Fundamental Matrix (Ch. 8.4)
Ep. 11 Markov Chains with Random Variables (Ch 8.5)
*Refers to the corresponding chapter in Finite Mathematics by Maki, Thompson, and McKinley, 6th Ed., 2017.