# Best Statistics Books

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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...

Appears in 6 articles

An Introduction to Statistical Learning

with Applications in R (Springer Texts in Statistics)

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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...

Appears in 5 articles

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...

Appears in 4 articles

Statistics in Plain English

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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...

Appears in 4 articles

The Elements of Statistical Learning

Data Mining, Inference, and Prediction (Springer Series in Statistics)

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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...

Appears in 3 articles

Bayesian Data Analysis

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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...

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Discovering Statistics Using R

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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...

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AP Statistics with Online Tests

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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...

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All of Statistics

A Concise Course in Statistical Inference (Springer Texts in Statistics)

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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...

Appears in 3 articles

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...

Appears in 3 articles

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'...

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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

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

Understanding Probability by Henk Tijms

Pattern Recognition and Machine Learning by Christopher M. Bishop

The Signal and the Noise by Nate Silver

Weapons of Math Destruction by Cathy O'Neil

How Animals Work by Schmidt-Nielsen

The Drunkard's Walk by Leonard Mlodinow

Innumeracy by John Allen Paulos

You Are Not So Smart by David McRaney

The Model Thinker by Scott E. Page

Statistics II for Dummies by Deborah J. Rumsey

The Lady Tasting Tea by David Salsburg

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

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 Linear Algebra, Fifth Edition by Gilbert Strang

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