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Lectures
Chapter 1
Sets, Partitions, and Tree Diagrams
1.1
Set Operations
1.2
Venn Diagrams & Partitions
1.3
Sizes of Sets
1.4
Sets of Outcomes and Trees
Chapter 2
Probabilities, Counting, and Equally Likely Outcomes
2.1
Equally Likely Outcomes
2.2
Permutations
2.3
Combinations
2.4
[Pr] & Equally Likely..
Chapter 3
Probability
3.1
Axioms and Properties
3.2
Conditional Probabilities
3.3
Stochastic Processes and Trees
3.4
Bayes Probabilities
3.5
Bernoulli Trials
Chapter 4
Random Variables, Averages, and Statistics
4.1
Random Variables and..
4.2
Expected Values and ..
Chapter 5
Systems of Linear Equations
5.1
Equations and Graphs..
5.2
F&S in Two+ Variables
5.3
F&S in Three+ Variables
Chapter 6
Matrix Algebra and Applications
6.1
Matrix Notation and Algebra
6.2
Matrix Inverses
6.3
Linear Economic Model
Chapter 7
Linear Programming: Modeling and Graphical Solution
7.1
Formulation of Linear..
7.2
Systems of Linear Eq..
7.3
Graphical Solutions of..
Chapter 8
Markov Chains
8.1
States, Transitions..
8.2
Basic Markov Chains
8.3
Regular Markov Chains
Practice Problems
Chapter 1
Sets, Partitions, and Tree Diagrams
Chapter 2
Probabilities, Counting, and Equally Likely Outcomes
Chapter 3
Probability
Chapter 4
Random Variables, Averages, and Statistics
Chapter 5
Systems of Linear Equations
Chapter 6
Matrix Algebra and Applications
Chapter 7
Linear Programming: Modeling and Graphical Solution
Chapter 8
Markov Chains
Webwork Problems
Chapter 1
Sets, Partitions, and Tree Diagrams
1.1
Set Operations
1.2
Venn Diagrams & Partitions
1.3
Sizes of Sets
1.4
Sets of Outcomes and Trees
Chapter 2
Probabilities, Counting, and Equally Likely Outcomes
2.1
Equally Likely Outcomes
2.2
Permutations
2.3
Combinations
2.4
[Pr] & Equally Likely..
Chapter 3
Probability
3.1
Axioms and Properties
3.2
Conditional Probabilities
3.3
Stochastic Processes and Trees
3.4
Bayes Probabilities
3.5
Bernoulli Trials
Chapter 4
Random Variables, Averages, and Statistics
4.1
Random Variables and..
4.2
Expected Values and ..
Chapter 5
Systems of Linear Equations
5.1
Equations and Graphs..
5.2
F&S in Two+ Variables
5.3
F&S in Three+ Variables
Chapter 6
Matrix Algebra and Applications
6.1
Matrix Notation and Algebra
6.2
Matrix Inverses
6.3
Linear Economic Model
Chapter 7
Linear Programming: Modeling and Graphical Solution
7.1
Formulation of Linear..
7.2
Systems of Linear Eq..
7.3
Graphical Solutions of..
Chapter 8
Markov Chains
8.1
States, Transitions..
8.2
Basic Markov Chains
8.3
Regular Markov Chains