1. # Describing Variation

Fri 22 November 2013

The 3rd in a series of tutorials on using Python for introductory statistical analysis, this tutorial covers methods for describing data via simple statistical calculations and statistical graphics. As always, the notebook for this tutorial is available here.

In the 1880s, Sir Francis Galton, one of the pioneers of statistics, collected data on the heights of approximately 900 adult children and their parents in London. Galton was interested in studying the relationship between a full-grown child’s height and his or her mother’s and father’s height. In order to do so, Galton collected height measurements from about 200 ...

2. # Data: Cases, Variables, Samples

Sat 09 November 2013

The second in a series of tutorials on using Python for introductory statistical analysis, this tutorial covers data, including cases, variables, samples, and a whole lot more. As always, the `iPython Notebook` associated with this tutorial is available here on github.

Data used in statistical modeling are usually organized into tables, often created using spreadsheet software. Most people presume that the same software used to create a table of data should be used to display and analyze it. This is part of the reason for the popularity of spreadsheet programs such as ‘Excel’ and ‘Google Spreadsheets’.

For serious statistical work ...

3. # A Fresh Approach using Python: Introduction

Fri 01 November 2013

Welcome to the first in a series of tutorials on using Python for introductory statistical analysis. As I put more of these tutorials online, you should be able to access them easily by clicking or searching for the relevant category: “Statistical Modeling for Python”.

This series of tutorials is based on the ‘Computational Technique’ sections of each chapter from ‘Statistical Modeling: A Fresh Approach (2nd Edition)’. The goal of this series of tutorials is to show how all of the R analysis and commands used in the book can be done just as easily using the Python programming language. This ...

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