Read more about Think Stats: Probability and Statistics for Programmers - 2e

Think Stats: Probability and Statistics for Programmers - 2e

(1 review)

Allen B. Downey, Franklin W. Olin College of Engineering

Copyright Year: 2014

ISBN 13: 9781491907337

Publisher: Green Tea Press

Language: English

Formats Available

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Reviewed by Manuel Gonzalez-Garay, Associate Professor, The University of Arizona on 2/8/17

Professor Downey is an expert writer with over 12 books under his belt. This particular book is very comprehensive. The author guides an engineer with minimal statistical knowledge into the intrinsicness of statistics. Professor Downey started... read more

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

Ancillary Material

  • Green Tea Press
  • About the Book

    Think Stats is an introduction to Probability and Statistics for Python programmers.

    • Think Stats 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.
    • If you have basic skills in Python, you can use them to learn concepts in probability and statistics. Think Stats is based on a Python library for probability distributions (PMFs and CDFs). Many of the exercises use short programs to run experiments and help readers develop understanding.

    About the Contributors


    Allen B. Downey is an American computer scientist, Professor of Computer Science at the Franklin W. Olin College of Engineering and writer of free textbooks.

    Downey received in 1989 his BS and in 1990 his MA, both in Civil Engineering from the Massachusetts Institute of Technology, and his PhD in Computer Science from the University of California at Berkeley in 1997.

    He started his career as Research Fellow in the San Diego Supercomputer Center in 1995. In 1997 he became Assistant Professor of Computer Science at Colby College, and in 2000 at Wellesley College. He was Research Fellow at Boston University in 2002 and Professor of Computer Science at the Franklin W. Olin College of Engineering since 2003. In 2009-2010 he was also Visiting Scientist at Google Inc.

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