## Book description

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. You’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses.

## Table of contents

- Preface
- 1. Exploratory Data Analysis
- 2. Distributions
- 3. Probability Mass Functions
- 4. Cumulative Distribution Functions
- 5. Modeling Distributions
- 6. Probability Density Functions
- 7. Relationships Between Variables
- 8. Estimation
- 9. Hypothesis Testing
- 10. Linear Least Squares
- 11. Regression
- 12. Time Series Analysis
- 13. Survival Analysis
- 14. Analytic Methods
- Index
- Colophon
- Copyright

## Product information

- Title: Think Stats, 2nd Edition
- Author(s):
- Release date: October 2014
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781491907337

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