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The Best Statistics Books Of All-Time

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“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



 

#BookAuthorLists
(Titles Appear On 1 List Each)
225 Steps to a 5 AP Statistics, 2014-2015 Edition (5 Steps to a 5 on the Advanced Placement Examinations Series)Duane HindersStat Trek
2350 Challenging Problems in Probability with SolutionsMostellerCount Bayesie
24A Course in Probability TheoryKai Lai ChungBig Data Made Simple
25A First Look at Rigorous Probability TheoryRosenthalCount Bayesie
26Against the Gods: The Remarkable Story of RiskPeter L. BernsteinGoodreads
27An Introduction to Optimal Designs for Social and Biomedical ResearchBerger MPF, Wong WKLab Stats
28An Introduction to Probability Theory and Its ApplicationsWilliam FellerBig Data Made Simple
29Analysis and Adjustment of Survey MeasurementsMikhail E.M. and Gracie GSanfoundry
30Antifragile: Things That Gain from DisorderNassim Nicholas TalebGoodreads
31Applied Multivariate Statistical AnalysisRichard A. JohnsonGoodreads
32Applied Predictive ModelingMax KuhnGoodreads
33Applied Statistics and Probability for EngineersDouglas C. MontgomerySanfoundry
34Barron’s AP StatisticsMartin Sternstein Ph.D.Wall Street Mojo
35Baseball Between the Numbers: Why Everything You Know About the Game Is WrongJonah KeriFlashlight Worthy
36Bayesian Data AnalysisAndrew GelmanGoodreads
37Bundle of Algorithms in Java, Third Edition, Parts 1-5: Fundamentals, Data Structures, Sorting, Searching, and Graph AlgorithmsRobert SedgewickBig Data Made Simple
38Business Statistics – 5th Edition-Douglas Downing Ph.D. and Jeffrey Clark Ph.D.Econ Guru
39Calculus Made EasyThompson, GardnerCount Bayesie
40Causality: Models, Reasoning, and InferenceJudea PearlGoodreads
41Cause and Correlation in Biology: A User’s Guide to Path Analysis, Structural Equations and Causal InferenceShipley BLab Stats
42Choice and ChanceWhitworthCount Bayesie
43CliffsNotes Statistics Quick Review, 2nd EditionScott Adams, Peter Z Orton, David H VoelkerStat Trek
44CliffsQuickReview StatisticsDavid H. Voelker, Peter Z. Orton, Scott AdamsStat Trek
45Contributions to a General Asymptotik Statistical TheoryPfanzagl WefelmeyerSanfoundry
46Control Theoretic Splines: Optimal Control, Statistics, and Path PlanningClyde MartinSanfoundry
47Data Analysis with Open Source ToolsJanertCount Bayesie
48Data Analysis: a Bayesian TutorialSivia, SkillingCount Bayesie
49Data Analysis: A Model Comparison ApproachJudd CM, et al.Lab Stats
50Data Mining: Practical Machine Learning Tools and TechniquesIan H. WittenBig Data Made Simple
51Dataclysm: Who We AreChristian RudderGoodreads
52Digital Dice: Computational Solutions to Practical Probability ProblemsNahinCount Bayesie
53Discovering Statistics Using SPSSAndy FieldGoodreads
54Elements of Statistical LearningHastie, TibshiraniCount Bayesie
55Envisioning InformationEdward R. TufteGoodreads
56Essentials of Statistics for Business and EconomicsDavid R. Anderson, Dennis J. Sweeney and Thomas A. WilliamsEcon Guru
57Experimental Design for BiologistsGlass DJLab Stats
58Fifty Challenging Problems in Probability with SolutionsFrederick MostellerBig Data Made Simple
59First Course in ProbabilitySheldon RossBig Data Made Simple
60FooledNassim Nicholas TalebGoodreads
61Forgotten Statistics: A Refresher Course with Applications to Economics and BusinessDouglas Downing Ph.D., Jeff Clark Ph.D.Stat Trek
62Freakonomics: A Rogue Economist Explores the Hidden Side of EverythingSteven D. LevittGoodreads
63ggplot2: Elegant Graphics for Data AnalysisHadley WickhamGoodreads
64How animals workKnut Schmidt-NielsenFive Books
65How to talk so kids will listen and listen so kids will talkAdele Faber and Elaine MazlishFive Books
66Information Theory, Inference and Learning AlgorithmsDavid J. C. MacKayWizzley
67Intermediate Statistics For DummiesDeborah J. RumseyStat Trek
68Introduction to AlgorithmsThomas H. CormenBig Data Made Simple
69Introduction to Mathematical StatisticsHogg and CraigWizzley
70Introduction to Meta-AnalysisBorenstein M et al.Lab Stats
71Introduction to ProbabilityDimitri P. BertsekasBig Data Made Simple
72Introduction to Probability TheoryPaul G. HoelBig Data Made Simple
73Introduction to Stochastic Search and Optimization: Estimation, Simulation, and ControlJames SpallSanfoundry
74Introductory Statistics for Business and Economics – 4th Edition –Thomas H. Wonnacott and Ronald J. WonnacottEcon Guru
75Judgment under uncertainty: heuristics and biasesDaniel Kahneman, Paul Slovic, and Amos TverskyFive Books
76Kaplan AP Statistics 2014 (Kaplan Test Prep)Bruce Simmons, Mary Jean Bland, Barbara WojciechowskiStat Trek
77Machine Learning: A Probabilistic PerspectiveMurphyCount Bayesie
78Mathematical Statistics and Data AnalysisJohn A. RiceWizzley
79MBA Fundamentals StatisticsPaul W. ThurmanEcon Guru
80Model Based Inference in the Life Sciences: A Primer on EvidenceAnderson DRLab Stats
81Model Selection and Multi-Model Inference: A Practical Information-Theoretic ApproachBurnham KP, Anderson DRLab Stats
82Mostly Harmless Econometrics: An Empiricist’s CompanionJoshua D. AngristGoodreads
83Numbers Is the New Way to Be SmartGoodreads
84Numbers Rule Your World: The Hidden Influence of Probabilities and Statistics on Everything You DoKaiser FungGoodreads
85OpenIntro Statistics: Third EditionDavid M DiezWall Street Mojo
86Outliers: The Story of SuccessMalcolm GladwellGoodreads
87Pattern Recognition and Machine LearningChristopher M. BishopGoodreads
88Practical Statistics Simply Explained (Dover Books on Mathematics)Russell LangleyStat Trek
89Principles of Mathematical AnalysisRudinCount Bayesie
90Probabilistic Graphical ModelsKoller, FriedmanCount Bayesie
91Probability & Measure TheoryAshCount Bayesie
92Probability and Statistical Models: Foundations for Problems in Reliability and Financial MathematicsArjun K GuptaSanfoundry
93Probability and StatisticsMorris H. DeGrootBig Data Made Simple
94Probability and Statistics for EngineersLittle R.E.Sanfoundry
95Probability Concepts in Engineering Planning and DesignAng H.S. and Tang W.H.Sanfoundry
96Probability Statistics and Decision for Civil EngineersBenjamin J.R. and Cornell C.A.Sanfoundry
97Probability Theory: A Concise Course (Dover Books on Mathematics)Y.A. RozanovBig Data Made Simple
98Probability: The Logic of ScienceJaynesCount Bayesie
99Randomness: The Hidden Role of Chance in Life and in the MarketsGoodreads
100Schaums Outline of Statistics, Fourth Edition (Schaum’s Outline Series)Murray Spiegel, Larry StephensStat Trek
101Statistical Analysis with Excel For Dummies (For Dummies (Computers))Joseph SchmullerStat Trek
102Statistical Decision Theory and Bayesian AnalysisJames O. BergerWizzley
103Statistics Explained: A Guide for Social Science Students, 2nd EditionPerry R. HintonStat Trek
104Statistics for Business and Economics (12th Edition)James T. McClaveWall Street Mojo
105Statistics for Experimenters: Design, Innovation, and DiscoveryGeorge E.P. BoxGoodreads
106Statistics for People Who (Think They) Hate Statistics, 4thNeil J. SalkindStat Trek
107Statistics for the Utterly Confused, 2nd editionLloyd JaisinghStat Trek
108Statistics Hacks: Tips & Tools for Measuring the World and Beating the OddsBruce FreyStat Trek
109Statistics II for DummiesDeborah J. RumseyStat Trek
110Statistics Workbook For DummiesDeborah J. RumseyStat Trek
111Statistics: A Very Short IntroductionDavid J. HandGoodreads
112Statistics: Methods and ApplicationsThomas Hill, Paul LewickiStat Trek
113Stochastic Differential Games. Theory and ApplicationsChris P Tsokos Kandethody M Ramachandran TsokosSanfoundry
114Student Study Guide to Accompany Statistics Alive!Wendy J. SteinbergWall Street Mojo
115Super Crunchers: Why Thinking-Ian AyresGoodreads
116Superforecasting: The Art and Science of PredictionPhilip E. TetlockGoodreads
117SuperFreakonomics: Global Cooling, Patriotic Prostitutes And Why Suicide Bombers Should Buy Life InsuranceSteven D. LevittGoodreads
118Teaching Statistics Using BaseballJim AlbertStat Trek
119The Art of R Programming: A Tour of Statistical Software DesignNorman MatloffGoodreads
120The Bad Guys Won!Jeff PearlmanFlashlight Worthy
121The Bill James baseball abstracts, from 1982 to 1986Five Books
122The Black Swan: The Impact of the Highly ImprobableNassim Nicholas TalebGoodreads
123The Book: Playing the Percentages in BaseballAndrew Dolphin, Mitchel Lichtman, Tom M. Tango, forewordFlashlight Worthy
124The Drunkard’s Walk: How Randomness Rules Our LivesLeonard MlodinowGoodreads
125The Elements of Graphing DataCleveland WSLab Stats
126The Elements of Statistical Learning: Data Mining, Inference, and PredictionTrevor HastieGoodreads
127The honest rainmakerA. J. LieblingFive Books
128The Humongous Book of Statistics ProblemsW. Michael Kelley, Robert A. DonnellyStat Trek
129The Improbability Principle: Why Coincidences, Miracles, and Rare Events Happen Every DayDavid J. HandGoodreads
130The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth CenturyDavid SalsburgGoodreads
131The Manga Guide to StatisticsShin Takahashi, Ltd. Trend-Pro Co.Stat Trek
132The Numbers Game: Baseball’s Lifelong Fascination with StatisticsAlan SchwarzFlashlight Worthy
133The Probability Tutoring Book: An Intuitive Course for Engineers and Scientists (and Everyone Else!)Carol AshBig Data Made Simple
134The Signal and the Noise: Why So Many Predictions Fail – But Some Don’tNate SilverGoodreads
135The Tao of Statistics: A Path to Understanding (With No Math)Dana K. KellerStat Trek
136The Theory That Would Not Die: How Bayes’ Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of ControversySharon Bertsch McGrayneGoodreads
137The Visual Display of Quantitative InformationEdward R. TufteGoodreads
138Think StatsAllen B. DowneyGoodreads
139Thinking StatisticallyUri BramGoodreads
140Thinking, Fast and SlowDaniel KahnemanGoodreads
141Understandable StatisticsCharles Henry Brase, Corrinne Pellillo BraseStat Trek
142Understanding AnalysisAbbottCount Bayesie
143Understanding Probability: Chance Rules in Everyday LifeHenk TijmsBig Data Made Simple
144Visualizing DataCleveland WSLab Stats
145Weapons of Math Destruction: How Big Data Increases Inequality and Threatens DemocracyCathy O’NeilGoodreads




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