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Best Statistics Books

Recommendations from 21 articles, Bill Gates, Terry Crews, Brian Armstrong and 10 others.
83 books on the list
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Naked Statistics
Stripping the Dread from the Data
Charles Wheelan - Jan 07, 2013
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Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called “sexy.” From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on...
An Introduction to Statistical Learning
with Applications in R (Springer Texts in Statistics)
Gareth James - Jun 24, 2013
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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modelin...
Statistics Done Wrong
The Woefully Complete Guide
Alex Reinhart - Feb 28, 2015 (first published in 2013)
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Everyone knows that abuse of statistics is rampant in popular media. Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong."Statistics...
The Elements of Statistical Learning
Data Mining, Inference, and Prediction (Springer Series in Statistics)
Trevor Hastie - Jul 29, 2003
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During the past decade there has been an explosion in computation and information technology. With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data...
Bayesian Data Analysis
Andrew Gelman - Nov 01, 2013 (first published in 1995)
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Winner of the 2016 De Groot Prize from the International Society for Bayesian AnalysisNow in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied...
Discovering Statistics Using R
Andy Field - Apr 04, 2012
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The R version of Andy Field's hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R. Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is enhanced by...
AP Statistics with Online Tests
Martin Sternstein - Jul 02, 2019
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Barron’s AP Statistics has in-depth content review, practice tests, and expert explanations to help students feel prepared on test day. This edition includes: Five full-length practice tests in the bookThree full-length practice tests onlineOne diagnostic test helps identify strengths and weaknesses so students can focus their study on areas for im...
All of Statistics
A Concise Course in Statistical Inference (Springer Texts in Statistics)
Larry Wasserman - Sep 16, 2004 (first published in 2003)
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Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate stu...
Practical Statistics for Data Scientists
50+ Essential Concepts Using R and Python
Peter Bruce - May 26, 2020
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Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to dat...
Statistics in Plain English, Fourth Edition
Timothy C. Urdan - Jul 25, 2016 (first published in 2001)
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This introductory textbook provides an inexpensive, brief overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. Each chapter describes a different statistical technique, ranging from basic concepts like central tendency and describing distributions to more advanced concepts su...
Think Stats
Exploratory Data Analysis
Allen B. Downey - Nov 04, 2014 (first published in 2011)
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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'...
OpenIntro Statistics by David M Diez
Head First Statistics by Dawn Griffiths
Statistics by James T. McClave
How to Talk So Kids Will Listen & Listen So Kids Will Talk by Adele Faber
Introduction to Algorithms by Thomas H. Cormen
Applied Predictive Modeling by Max Kuhn
Judgment Under Uncertainty by Daniel Kahneman
Probability Theory by E. T. Jaynes
Bill James Baseball Abstract, 1986 by Bill James
Introduction to Linear Algebra by Gilbert Strang
Data Analysis Using Regression and Multilevel/Hierarchical Models by Andrew Gelman
An Introduction to Probability Theory and Its Applications by William Feller
Numerical Recipes 3rd Edition by William H. Press
Statistics for Experimenters by George E. P. Box
Introduction to Probability by Dimitri P. Bertsekas
An Adventure in Statistics by Andy Field
How Not to Be Wrong by Jordan Ellenberg
Probability Theory by Y.A. Rozanov
Data Analysis by Devinderjit Sivia
A Course in Probability Theory, Third Edition by Kai Lai Chung
Statistical Methods in the Atmospheric Sciences by Daniel S. Wilks
The Probability Tutoring Book by Carol Ash
Statistical Methods in Bioinformatics by Warren J. Ewens
Empirical Methods for Artificial Intelligence by Paul R. Cohen
Info We Trust by RJ Andrews
Fifty Challenging Problems in Probability with Solutions by Frederick Mosteller
Honest Rainmaker by A. J. Liebling
Student Study Guide to Accompany Statistics Alive! 2e by Wendy J. Steinberg by Wendy J. Steinberg
PROBABILITY & STATISTICS by HENRY GERSH
Business Analytics Study Guide by Habiba Emadi Keshtiar
ANALYTICS by HENRY GERSH
Basic Probability by Henk Tijms
Statistics, 11th Edition by Robert S. Witte
Pattern Recognition and Machine Learning by Christopher M. Bishop
Understanding Probability by Henk Tijms
The Signal and the Noise by Nate Silver
How Animals Work by Schmidt-Nielsen
You Are Not So Smart by David McRaney
The Model Thinker by Scott E. Page
Statistics II for Dummies by Deborah J. Rumsey
Weapons of Math Destruction by Cathy O'Neil
The Lady Tasting Tea by David Salsburg
The Drunkard's Walk by Leonard Mlodinow
First Course in Probability, A by Sheldon Ross
Data Mining by Ian H. Witten
The Cartoon Guide to Statistics by Larry Gonick
Modern Mathematical Statistics with Applications by Jay L. Devore
Statistics in Plain English by Timothy C. Urdan
Innumeracy by John Allen Paulos
Think Like a Freak by Steven D. Levitt
Probability and Statistics by Morris H. DeGroot
Computational Statistics by Geof H. Givens
The Complete Idiot's Guide to Statistics by Robert A. Donnelly Jr.
Bundle of Algorithms in Java, Third Edition, Parts 1-5 by Robert Sedgewick
Introductory Statistics and Analytics by Peter C. Bruce
Probability and Statistical Inference by Robert V. Hogg
Introduction to Probability Theory by Paul G. Hoel
Statistics For Dummies by Deborah J. Rumsey
Statistical Modeling by Daniel T. Kaplan
Mathematical Statistics with Applications by Dennis Wackerly
Introduction to Statistics and Data Analysis by Roxy Peck
Statistics for Engineers and Scientists by William Navidi
Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives by Andrew Gelman
Statistics for Business and Economics by James T. McClave
Introduction to Mathematical Statistics by Robert V. Hogg
A Quantitative Tour of the Social Sciences by Andrew Gelman
Statistics by Roxy Peck
Statistics for Business & Economics by David R. Anderson
Statistics for Management and Economics + XLSTAT Bind-in by Gerald Keller
Statistical Research Methods by Roy Sabo
Statistics by Alan Agresti
Intro Stats by Richard D. De Veaux