This is a brief introduction to some important concepts in statistical reasoning, including self-test questions and examples of common statistical mistakes. It is designed to be read in order; the concepts introduced in the earlier sections are used in the later ones.

At the end of each section, use the link at the top or bottom of the page to get to the next section. Each section may also contain links to supplementary material, such as answers to problems; these links should be followed, as they often contain important material. After reading this material, use the link at the bottom of the page to return to the main text. If you follow one of the links to an external site, use the "Back" button on your browser to return to this site.

- [T01] Basic concepts
- [T02] The rules of probability
- [T03] The game show puzzle
- [T04] Expected values
- [T05] Probability and utility
- [T06] Cooperation
- [T07] Summarizing data
- [T08] Samples and biases
- [T09] Sampling error
- [T10] Hypothesis testing
- [T11] Correlation
- [T12] Simpson's paradox
- [T13] The post hoc fallacy
- [T14] Controlled trials
- [T15] Bayesian confirmation

- Darrell Huff - How to Lie with Statistics. A very well-known classics.
- A free technical reference from StatSoft: Electronic Statistics Textbook
- An international best-seller: Peter Bernstein - Against the Gods: The Remarkable Story of Risk
- Nate Silver - The Signal and the Noise: Why So Many Predictions Fail - But Some Don't
- Howson and Urbach - Scientific Reasoning : The Bayesian Approach