## 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

## You might also like

book

### Python for Finance, 2nd Edition

The financial industry has recently adopted Python at a tremendous rate, with some of the largest …

book

### Python for Programmers, First Edition

The professional programmer's Deitel® guide to Python® with introductory artificial intelligence case studies Written for programmers …

book

### Python Cookbook, 3rd Edition

If you need help writing programs in Python 3, or want to update older Python 2 …

book

### High Performance Python, 2nd Edition

Your Python code may run correctly, but you need it to run faster. Updated for Python …