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.

• Students run experiments to test statistical behavior. For example, they explore the Central Limit Theorem (CLT) by generating samples from several distributions. When they see that the sum of values from a Pareto distribution doesn’t converge to normal, they remember the assumptions the CLT is based on.

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