Think Stats: Probability and Statistics for Programmers

Think stats : Probability andStatistics for ProgrammersVersion StatsProbability and Statistics for ProgrammersVersion B. DowneyGreen Tea PressNeedham, MassachusettsCopyright 2011 Allen B. Tea Press9 Washburn AveNeedham MA 02492 Permission is granted to copy, distribute, and/or modify this document underthe terms of the Creative Commons Attribution-NonCommercial Unported Li-cense, which is available original form of this book is LATEX source code. Compiling this code has theeffect of generating a device-independent representation of a textbook, which canbe converted to other formats and LATEX source for this book is available cover for this book is based on a photo by Paul Friel ( ), who made it available under the Creative Commons Attributionlicense. The original photo is I wrote this bookThink stats : Probability and Statistics for Programmersis a textbook for a newkind of introductory prob-stat class. It emphasizes the use of Statistics toexplore large datasets.

The vocabulary and notation in this book are gener-ally consistent with Wikipedia, unless I had a good reason to deviate. Other resources I found useful were Wolfram MathWorld and (of course) Google. I also used two books, David MacKay’s Information Theory, In-ference, and Learning Algorithms, which is the book that got me hooked on

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