## Table of Contents

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- 1. Independent and Dependent Events
This chapter introduces students to probability in its most basic form: independent and dependent events. Also considered are mutually inclusive and exclusive events, sample spaces, and Venn Diagrams.

- 2. Conditional Probability
This chapter introduces tree diagrams, permutations, and combinations. Also covered is the concept of conditional probability.

- 3. Introduction to Discrete Random Variables
This chapter deals with random variables and probability distributions while also offering some methods for using a calculator to find theoretical probability.

- 4. Probability Distributions
This chapter introduces students to more ways of analyzing and managing data, covering standard distributions and discrete distributions.

- 5. Measures of Central Tendency
This chapter explores the importance of measures of central tendency in probability, including the mean, median, and mode.

- 6. Normal Distribution Curves
This chapter goes into detail regarding normal distribution. Students learn to represent data on a bell curve, recognize a normal distribution curve, and calculate the standard deviation both manually and with a calculator.

- 7. Organizing and Displaying Data
This chapter gives students a number of useful ways to represent data, including line graphs, bar graphs, stem-and-leaf plots, and box-and-whisker plots.

- 8. Organizing and Displaying Data for Comparison
This chapter further refines and develops a student’s ability to manage and present data through a wide variety of graphs and tables, such as double bar and line graphs, two-sided stem-and-leaf plots, and double box-and-whisker plots among others.