“Think Stats is an introduction to Probability and Statistics for Python programmers. Most ideas are expressed using Python code.
Chapters examine:
Exploratory data analysis.
Distributions.
Probability mass functions.
Cumulative distribution functions.
Modeling distributions.
Probability density functions.
Relationships between variables.
Estimation.
Hypothesis testing.
Linear least squares.
Regression.
Time series analysis.
Survival analysis.
Analytic methods.
The book presents a case study using data from the National Institutes of Health and the National Survey of Family Growth and the Behavioral Risk Factor Surveillance System. Each chapter presents exercises to help develop a reader’s understanding.”