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The Best Statistics Books Of All-Time

June 28, 2017

“What are the best books about Statistics?” We looked at 145 of the top Statistics books, aggregating and ranking them so we could answer that very question!

The top 21 books, all appearing on 2 or more “Best Statistics” book lists, are ranked below with images, descriptions, and links. The remaining 100+ titles, as well as the book lists we used, are in alphabetical order at the bottom of the page.

Happy Scrolling!



Top Statistics Books Of All Time



21 .) All of Statistics: A Concise Course in Statistical Inference by Larry Wasserman

Lists It Appears On:

  • Wizzley
  • Goodreads

“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 students in computer science, mathematics, statistics, and related disciplines.

The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data. “

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20 .) An Introduction to Statistical Learning: with Applications in R by Gareth James

Lists It Appears On:

  • Wall Street Mojo
  • Goodreads

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 modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform.

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19 .) Data Analysis Using Regression and Multilevel/Hierarchical Models by Andrew Gelman

Lists It Appears On:

  • Lab Stats
  • Goodreads

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors’ own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation.

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18 .) Discovering Statistics Using R by Andy Field

Lists It Appears On:

  • Big Data Made Simple
  • Goodreads

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 a cast of characters to help the reader on their way, hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more.

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17 .) How to Lie with Statistics by Darrell Huff

Lists It Appears On:

  • Stat Trek
  • Goodreads

Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to full rather than to inform.

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16 .) Moneyball: The Art of Winning an Unfair Game by Michael Lewis

Lists It Appears On:

  • Flashlight Worthy
  • Goodreads

“Moneyball is a quest for something as elusive as the Holy Grail, something that money apparently can’t buy: the secret of success in baseball. The logical places to look would be the front offices of major league teams, and the dugouts, perhaps even in the minds of the players themselves. Lewis mines all these possibilities—his intimate and original portraits of big league ballplayers are alone worth the price of admission—but the real jackpot is a cache of numbers—numbers!—collected over the years by a strange brotherhood of amateur baseball enthusiasts: software engineers, statisticians, Wall Street analysts, lawyers and physics professors.

What these geek numbers show—no, prove—is that the traditional yardsticks of success for players and teams are fatally flawed. Even the box score misleads us by ignoring the crucial importance of the humble base-on-balls. This information has been around for years, and nobody inside Major League Baseball paid it any mind. And then came Billy Beane, General Manager of the Oakland Athletics.”

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15 .) Principles of Statistics by M.G. Bulmer

Lists It Appears On:

  • Goodreads
  • Stat Trek

“There are many textbooks which describe current methods of statistical analysis, while neglecting related theory. There are equally many advanced textbooks which delve into the far reaches of statistical theory, while bypassing practical applications. But between these two approaches is an unfilled gap, in which theory and practice merge at an intermediate level. Professor M. G. Bulmer’s Principles of Statistics, originally published in 1965, was created to fill that need. The new, corrected Dover edition of Principles of Statistics makes this invaluable mid-level text available once again for the classroom or for self-study.
Principles of Statistics was created primarily for the student of natural sciences, the social scientist, the undergraduate mathematics student, or anyone familiar with the basics of mathematical language. It assumes no previous knowledge of statistics or probability; nor is extensive mathematical knowledge necessary beyond a familiarity with the fundamentals of differential and integral calculus. (The calculus is used primarily for ease of notation; skill in the techniques of integration is not necessary in order to understand the text.)
Professor Bulmer devotes the first chapters to a concise, admirably clear description of basic terminology and fundamental statistical theory: abstract concepts of probability and their applications in dice games, Mendelian heredity, etc.; definitions and examples of discrete and continuous random variables; multivariate distributions and the descriptive tools used to delineate them; expected values; etc.”

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14 .) Probability Theory: The Logic of Science by E.T. Jaynes

Lists It Appears On:

  • Big Data Made Simple
  • Goodreads

Going beyond the conventional mathematics of probability theory, this study views the subject in a wider context. It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.

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13 .) Statistical Inference by George Casella

Lists It Appears On:

  • Wizzley
  • Goodreads

This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. Intended for first-year graduate students, this book can be used for students majoring in statistics who have a solid mathematics background. It can also be used in a way that stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less concerned with formal optimality investigations.

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12 .) Statistics by Robert S. Witte and John S. Witte

Lists It Appears On:

  • Stat Trek
  • Wall Street Mojo

Drawing upon over 40 years of experience, the authors of Statistics, 10th Edition provide business professionals with a clear and methodical approach to essential statistical procedures. The text clearly explains the basic concepts and procedures of descriptive and inferential statistical analysis. It features an emphasis on expressions involving sums of squares and degrees of freedom as well as a strong stress on the importance of variability. This accessible approach will help business professionals tackle such perennially mystifying topics as the standard deviation, variance interpretation of the correlation coefficient, hypothesis tests, degrees of freedom, p-values, and estimates of effect size.

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11 .) Statistics Done Wrong: The Woefully Complete Guide by Alex Reinhart

Lists It Appears On:

  • Wall Street Mojo
  • Goodreads

“Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You’d be surprised how many scientists are doing it wrong.
Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You’ll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics.”

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10 .) Statistics For Dummies by Deborah J. Rumsey

Lists It Appears On:

  • Stat Trek
  • Goodreads

This is the hardcover format of Statistics For Dummies, 2nd Edition. The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today’s students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.

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9 .) Statistics in a Nutshell: A Desktop Quick Reference by Sarah Boslaugh, Paul Andrew, Dr. Watters

Lists It Appears On:

  • Goodreads
  • Stat Trek

“Need to learn statistics for your job? Want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone new to the subject. Thoroughly revised and expanded, this edition helps you gain a solid understanding of statistics without the numbing complexity of many college texts.

Each chapter presents easy-to-follow descriptions, along with graphics, formulas, solved examples, and hands-on exercises. If you want to perform common statistical analyses and learn a wide range of techniques without getting in over your head, this is your book.”

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8 .) The Complete Idiot’s Guide to Statistics by Robert A. Donnelly Jr. Ph.D.

Lists It Appears On:

  • Stat Trek
  • Wall Street Mojo

Aimed at high school and college students who need to take statistics to fulfill a degree requirement, this book follows a standard statistics curriculum with topics that include frequency distributions, probability, binomial distribution, poisson distribution, normal distribution, hypothesis testing, simple regression analysis, and more.

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7 .) What is a p-value anyway? 34 Stories to Help You Actually Understand Statistics by Andrew J. Vickers

Lists It Appears On:

  • Count Bayesie
  • Stat Trek

“What is a p-value Anyway? offers a fun introduction to the fundamental principles of statistics, presenting the essential concepts in thirty-four brief, enjoyable stories. Drawing on his experience as a medical researcher, Vickers blends insightful explanations and humor, with minimal math, to help readers understand and interpret the statistics they read every day.

Describing data; Data distributions; Variation of study results: confidence intervals; Hypothesis testing; Regression and decision making; Some common statistical errors, and what they teach us”

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6 .) The Cartoon Guide to Statistics by Larry Gonick and Woollcott Smith

Lists It Appears On:

  • Econ Guru
  • Stat Trek
  • Goodreads

If you have ever looked for P-values by shopping at P mart, tried to watch the Bernoulli Trails on “People’s Court,” or think that the standard deviation is a criminal offense in six states, then you need The Cartoon Guide to Statistics to put you on the road to statistical literacy. The Cartoon Guide to Statistics covers all the central ideas of modern statistics: the summary and display of data, probability in gambling and medicine, random variables, Bernoulli Trials, the Central Limit Theorem, hypothesis testing, confidence interval estimation, and much more–all explained in simple, clear, and yes, funny illustrations. Never again will you order the Poisson Distribution in a French restaurant!

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5 .) Naked Statistics: Stripping the Dread from the Data by Charles Wheelan

Lists It Appears On:

  • Stat Trek
  • Goodreads
  • Wall Street Mojo

“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 standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.
For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.”

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4 .) Head First Statistics: A Brain-Friendly Guide by Dawn Griffiths

Lists It Appears On:

  • Count Bayesie
  • Stat Trek
  • Wall Street Mojo

“Wouldn’t it be great if there were a statistics book that made histograms, probability distributions, and chi square analysis more enjoyable than going to the dentist? Head First Statistics brings this typically dry subject to life, teaching you everything you want and need to know about statistics through engaging, interactive, and thought-provoking material, full of puzzles, stories, quizzes, visual aids, and real-world examples.

Whether you’re a student, a professional, or just curious about statistical analysis, Head First’s brain-friendly formula helps you get a firm grasp of statistics so you can understand key points and actually use them. Learn to present data visually with charts and plots; discover the difference between taking the average with mean, median, and mode, and why it’s important; learn how to calculate probability and expectation; and much more.

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3 .) Doing Bayesian Data Analysis: A Tutorial with R and BUGS by John Kruschke

Lists It Appears On:

  • Count Bayesie
  • Goodreads
  • Lab Stats

There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides an accessible approach, as all mathematics is explained intuitively and with concrete examples. It assumes only algebra and ‘rusty’ calculus. Unlike other textbooks, this book begins with the basics, including essential concepts of probability and random sampling. The book gradually climbs all the way to advanced hierarchical modeling methods for realistic data. The text provides complete examples with the R programming language and BUGS software (both freeware), and begins with basic programming examples, working up gradually to complete programs for complex analyses and presentation graphics. These templates can be easily adapted for a large variety of students and their own research needs.The textbook bridges the students from their undergraduate training into modern Bayesian methods.

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2 .) Statistics in Plain English by Timothy C. Urdan

Lists It Appears On:

  • Stat Trek
  • Wizzley
  • Wall Street Mojo

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 such as t tests, regression, repeated measures ANOVA, and factor analysis. Each chapter begins with a short description of the statistic and when it should be used. This is followed by a more in-depth explanation of how the statistic works. Finally, each chapter ends with an example of the statistic in use, and a sample of how the results of analyses using the statistic might be written up for publication. A glossary of statistical terms and symbols is also included. Using the author’s own data and examples from published research and the popular media, the book is a straightforward and accessible guide to statistics.

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1 .) Statistics by David Freedman, Robert Pisani, Roger Purves

Lists It Appears On:

  • Stat Trek
  • Wizzley
  • Goodreads

Renowned for its clear prose and no-nonsense emphasis on core concepts, Statistics covers fundamentals using real examples to illustrate the techniques.

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The Additional Best Books To Read For Learning Statistics



 

# Book Author Lists
(Titles Appear On 1 List Each)
22 5 Steps to a 5 AP Statistics, 2014-2015 Edition (5 Steps to a 5 on the Advanced Placement Examinations Series) Duane Hinders Stat Trek
23 50 Challenging Problems in Probability with Solutions Mosteller Count Bayesie
24 A Course in Probability Theory Kai Lai Chung Big Data Made Simple
25 A First Look at Rigorous Probability Theory Rosenthal Count Bayesie
26 Against the Gods: The Remarkable Story of Risk Peter L. Bernstein Goodreads
27 An Introduction to Optimal Designs for Social and Biomedical Research Berger MPF, Wong WK Lab Stats
28 An Introduction to Probability Theory and Its Applications William Feller Big Data Made Simple
29 Analysis and Adjustment of Survey Measurements Mikhail E.M. and Gracie G Sanfoundry
30 Antifragile: Things That Gain from Disorder Nassim Nicholas Taleb Goodreads
31 Applied Multivariate Statistical Analysis Richard A. Johnson Goodreads
32 Applied Predictive Modeling Max Kuhn Goodreads
33 Applied Statistics and Probability for Engineers Douglas C. Montgomery Sanfoundry
34 Barron’s AP Statistics Martin Sternstein Ph.D. Wall Street Mojo
35 Baseball Between the Numbers: Why Everything You Know About the Game Is Wrong Jonah Keri Flashlight Worthy
36 Bayesian Data Analysis Andrew Gelman Goodreads
37 Bundle of Algorithms in Java, Third Edition, Parts 1-5: Fundamentals, Data Structures, Sorting, Searching, and Graph Algorithms Robert Sedgewick Big Data Made Simple
38 Business Statistics – 5th Edition- Douglas Downing Ph.D. and Jeffrey Clark Ph.D. Econ Guru
39 Calculus Made Easy Thompson, Gardner Count Bayesie
40 Causality: Models, Reasoning, and Inference Judea Pearl Goodreads
41 Cause and Correlation in Biology: A User’s Guide to Path Analysis, Structural Equations and Causal Inference Shipley B Lab Stats
42 Choice and Chance Whitworth Count Bayesie
43 CliffsNotes Statistics Quick Review, 2nd Edition Scott Adams, Peter Z Orton, David H Voelker Stat Trek
44 CliffsQuickReview Statistics David H. Voelker, Peter Z. Orton, Scott Adams Stat Trek
45 Contributions to a General Asymptotik Statistical Theory Pfanzagl Wefelmeyer Sanfoundry
46 Control Theoretic Splines: Optimal Control, Statistics, and Path Planning Clyde Martin Sanfoundry
47 Data Analysis with Open Source Tools Janert Count Bayesie
48 Data Analysis: a Bayesian Tutorial Sivia, Skilling Count Bayesie
49 Data Analysis: A Model Comparison Approach Judd CM, et al. Lab Stats
50 Data Mining: Practical Machine Learning Tools and Techniques Ian H. Witten Big Data Made Simple
51 Dataclysm: Who We Are Christian Rudder Goodreads
52 Digital Dice: Computational Solutions to Practical Probability Problems Nahin Count Bayesie
53 Discovering Statistics Using SPSS Andy Field Goodreads
54 Elements of Statistical Learning Hastie, Tibshirani Count Bayesie
55 Envisioning Information Edward R. Tufte Goodreads
56 Essentials of Statistics for Business and Economics David R. Anderson, Dennis J. Sweeney and Thomas A. Williams Econ Guru
57 Experimental Design for Biologists Glass DJ Lab Stats
58 Fifty Challenging Problems in Probability with Solutions Frederick Mosteller Big Data Made Simple
59 First Course in Probability Sheldon Ross Big Data Made Simple
60 Fooled Nassim Nicholas Taleb Goodreads
61 Forgotten Statistics: A Refresher Course with Applications to Economics and Business Douglas Downing Ph.D., Jeff Clark Ph.D. Stat Trek
62 Freakonomics: A Rogue Economist Explores the Hidden Side of Everything Steven D. Levitt Goodreads
63 ggplot2: Elegant Graphics for Data Analysis Hadley Wickham Goodreads
64 How animals work Knut Schmidt-Nielsen Five Books
65 How to talk so kids will listen and listen so kids will talk Adele Faber and Elaine Mazlish Five Books
66 Information Theory, Inference and Learning Algorithms David J. C. MacKay Wizzley
67 Intermediate Statistics For Dummies Deborah J. Rumsey Stat Trek
68 Introduction to Algorithms Thomas H. Cormen Big Data Made Simple
69 Introduction to Mathematical Statistics Hogg and Craig Wizzley
70 Introduction to Meta-Analysis Borenstein M et al. Lab Stats
71 Introduction to Probability Dimitri P. Bertsekas Big Data Made Simple
72 Introduction to Probability Theory Paul G. Hoel Big Data Made Simple
73 Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control James Spall Sanfoundry
74 Introductory Statistics for Business and Economics – 4th Edition – Thomas H. Wonnacott and Ronald J. Wonnacott Econ Guru
75 Judgment under uncertainty: heuristics and biases Daniel Kahneman, Paul Slovic, and Amos Tversky Five Books
76 Kaplan AP Statistics 2014 (Kaplan Test Prep) Bruce Simmons, Mary Jean Bland, Barbara Wojciechowski Stat Trek
77 Machine Learning: A Probabilistic Perspective Murphy Count Bayesie
78 Mathematical Statistics and Data Analysis John A. Rice Wizzley
79 MBA Fundamentals Statistics Paul W. Thurman Econ Guru
80 Model Based Inference in the Life Sciences: A Primer on Evidence Anderson DR Lab Stats
81 Model Selection and Multi-Model Inference: A Practical Information-Theoretic Approach Burnham KP, Anderson DR Lab Stats
82 Mostly Harmless Econometrics: An Empiricist’s Companion Joshua D. Angrist Goodreads
83 Numbers Is the New Way to Be Smart Goodreads
84 Numbers Rule Your World: The Hidden Influence of Probabilities and Statistics on Everything You Do Kaiser Fung Goodreads
85 OpenIntro Statistics: Third Edition David M Diez Wall Street Mojo
86 Outliers: The Story of Success Malcolm Gladwell Goodreads
87 Pattern Recognition and Machine Learning Christopher M. Bishop Goodreads
88 Practical Statistics Simply Explained (Dover Books on Mathematics) Russell Langley Stat Trek
89 Principles of Mathematical Analysis Rudin Count Bayesie
90 Probabilistic Graphical Models Koller, Friedman Count Bayesie
91 Probability & Measure Theory Ash Count Bayesie
92 Probability and Statistical Models: Foundations for Problems in Reliability and Financial Mathematics Arjun K Gupta Sanfoundry
93 Probability and Statistics Morris H. DeGroot Big Data Made Simple
94 Probability and Statistics for Engineers Little R.E. Sanfoundry
95 Probability Concepts in Engineering Planning and Design Ang H.S. and Tang W.H. Sanfoundry
96 Probability Statistics and Decision for Civil Engineers Benjamin J.R. and Cornell C.A. Sanfoundry
97 Probability Theory: A Concise Course (Dover Books on Mathematics) Y.A. Rozanov Big Data Made Simple
98 Probability: The Logic of Science Jaynes Count Bayesie
99 Randomness: The Hidden Role of Chance in Life and in the Markets Goodreads
100 Schaums Outline of Statistics, Fourth Edition (Schaum’s Outline Series) Murray Spiegel, Larry Stephens Stat Trek
101 Statistical Analysis with Excel For Dummies (For Dummies (Computers)) Joseph Schmuller Stat Trek
102 Statistical Decision Theory and Bayesian Analysis James O. Berger Wizzley
103 Statistics Explained: A Guide for Social Science Students, 2nd Edition Perry R. Hinton Stat Trek
104 Statistics for Business and Economics (12th Edition) James T. McClave Wall Street Mojo
105 Statistics for Experimenters: Design, Innovation, and Discovery George E.P. Box Goodreads
106 Statistics for People Who (Think They) Hate Statistics, 4th Neil J. Salkind Stat Trek
107 Statistics for the Utterly Confused, 2nd edition Lloyd Jaisingh Stat Trek
108 Statistics Hacks: Tips & Tools for Measuring the World and Beating the Odds Bruce Frey Stat Trek
109 Statistics II for Dummies Deborah J. Rumsey Stat Trek
110 Statistics Workbook For Dummies Deborah J. Rumsey Stat Trek
111 Statistics: A Very Short Introduction David J. Hand Goodreads
112 Statistics: Methods and Applications Thomas Hill, Paul Lewicki Stat Trek
113 Stochastic Differential Games. Theory and Applications Chris P Tsokos Kandethody M Ramachandran Tsokos Sanfoundry
114 Student Study Guide to Accompany Statistics Alive! Wendy J. Steinberg Wall Street Mojo
115 Super Crunchers: Why Thinking- Ian Ayres Goodreads
116 Superforecasting: The Art and Science of Prediction Philip E. Tetlock Goodreads
117 SuperFreakonomics: Global Cooling, Patriotic Prostitutes And Why Suicide Bombers Should Buy Life Insurance Steven D. Levitt Goodreads
118 Teaching Statistics Using Baseball Jim Albert Stat Trek
119 The Art of R Programming: A Tour of Statistical Software Design Norman Matloff Goodreads
120 The Bad Guys Won! Jeff Pearlman Flashlight Worthy
121 The Bill James baseball abstracts, from 1982 to 1986 Five Books
122 The Black Swan: The Impact of the Highly Improbable Nassim Nicholas Taleb Goodreads
123 The Book: Playing the Percentages in Baseball Andrew Dolphin, Mitchel Lichtman, Tom M. Tango, foreword Flashlight Worthy
124 The Drunkard’s Walk: How Randomness Rules Our Lives Leonard Mlodinow Goodreads
125 The Elements of Graphing Data Cleveland WS Lab Stats
126 The Elements of Statistical Learning: Data Mining, Inference, and Prediction Trevor Hastie Goodreads
127 The honest rainmaker A. J. Liebling Five Books
128 The Humongous Book of Statistics Problems W. Michael Kelley, Robert A. Donnelly Stat Trek
129 The Improbability Principle: Why Coincidences, Miracles, and Rare Events Happen Every Day David J. Hand Goodreads
130 The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century David Salsburg Goodreads
131 The Manga Guide to Statistics Shin Takahashi, Ltd. Trend-Pro Co. Stat Trek
132 The Numbers Game: Baseball’s Lifelong Fascination with Statistics Alan Schwarz Flashlight Worthy
133 The Probability Tutoring Book: An Intuitive Course for Engineers and Scientists (and Everyone Else!) Carol Ash Big Data Made Simple
134 The Signal and the Noise: Why So Many Predictions Fail – But Some Don’t Nate Silver Goodreads
135 The Tao of Statistics: A Path to Understanding (With No Math) Dana K. Keller Stat Trek
136 The Theory That Would Not Die: How Bayes’ Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy Sharon Bertsch McGrayne Goodreads
137 The Visual Display of Quantitative Information Edward R. Tufte Goodreads
138 Think Stats Allen B. Downey Goodreads
139 Thinking Statistically Uri Bram Goodreads
140 Thinking, Fast and Slow Daniel Kahneman Goodreads
141 Understandable Statistics Charles Henry Brase, Corrinne Pellillo Brase Stat Trek
142 Understanding Analysis Abbott Count Bayesie
143 Understanding Probability: Chance Rules in Everyday Life Henk Tijms Big Data Made Simple
144 Visualizing Data Cleveland WS Lab Stats
145 Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy Cathy O’Neil Goodreads




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