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Table of Contents
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.
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