Think Stats: Exploratory Data Analysis
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.
By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts.
New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries.
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Chapter 1 Exploratory Data Analysis
Chapter 2 Distributions
Chapter 3 Probability Mass Functions
Chapter 4 Cumulative Distribution Functions
Chapter 5 Modeling Distributions
Chapter 6 Probability Density Functions
Chapter 7 Relationships Between Variables
Chapter 8 Estimation
Chapter 9 Hypothesis Testing