# Lectures

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