Think Stats

Description

"Think Stats: Probability and Statistics for Programmers is a textbook for a new kind of introductory prob-stat class. It emphasizes the use of statistics to explore large datasets. It takes a computation approach: students write programs in Python as a way of developing and testing their understanding."--Home page, overview. Abstract: If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.  Read more... Content: 1. Statistical thinking for programmers -- 2. Descriptive statistics -- 3. Cumulative distribution functions -- 4. Continuous distributions -- 5. Probability -- 6. Operations on distributions -- 7. Hypothesis testing -- 8. Estimation -- 9. Correlation.