Think Stats 2nd Edition

Think Stats: Exploratory Data Analysis in Python is an introduction to Probability and Statistics for Python programmers. It emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets.

Book Description

Topics included: 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.

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