For Computer Science

1. Introduction
2. Graphing Distributions
3. Summarizing Distributions
4. Describing Bivariate Data

• Probability

1. Contents Standard  
2. Introduction to Probability Standard   Video
3. Basic Concepts Standard   Video
4. Conditional p Demo Standard
5. Gambler's Fallacy Standard   Video
6. Permutations and Combinations Standard   Video
7. Birthday Demo Standard
8. Binomial Distribution Standard   Video
9. Binomial Demonstration Standard
10. Poisson Distribution Standard   Video
11. Multinomial Distribution Standard   Video
12. Hypergeometric Distribution Standard   Video
13. Base Rates Standard   Video
14. Bayes Demo Standard
15. Monty Hall Problem Standard
16. Statistical Literacy Standard
17. Exercises Standard

• Research Design
• Normal Distribution
• Advanced Graphs
• Sampling Distributions
• Estimation
• Logic of Hypothesis Testing
• Tests of Means
• Power
• Regression
• Analysis of Variance
• Transformations
• Chi Square
• Distribution Free Tests
• Effect Size
• Case Studies
• Calculators
• Glossary

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Probability

Author(s)

Prerequisites

1. Introduction
2. Basic Concepts
3. Conditional Probability Demo
4. Gambler's Fallacy Simulation
5. Permutations and Combinations
6. Birthday Simulation
7. Binomial Distribution
8. Binomial Demonstration
9. Poisson Distribution
10. Multinomial Distribution
11. Hypergeometric Distribution
12. Base Rates
13. Bayes' Theorem Demonstration
14. Monty Hall Problem Demonstration
15. Statistical Literacy
16. Exercises

PDF (A good way to print the chapter.)

Probability is an important and complex field of study. Fortunately, only a few basic issues in probability theory are essential for understanding statistics at the level covered in this book. These basic issues are covered in this chapter.

The introductory section discusses the definitions of probability. This is not as simple as it may seem. The section on basic concepts covers how to compute probabilities in a variety of simple situations. The Gambler's Fallacy Simulation provides an opportunity to explore this fallacy by simulation. The Birthday Demonstration illustrates the probability of finding two or more people with the same birthday. The Binomial Demonstration shows the binomial distribution for different parameters. The section on base rates discusses an important but often-ignored factor in determining probabilities. It also presents Bayes' Theorem. The Bayes' Theorem Demonstration shows how a tree diagram and Bayes' Theorem result in the same answer. Finally, the Monty Hall Demonstration lets you play a game with a very counterintuitive result.