Statistics Book reviews from Reddit

Summary

We analyzed 141 Reddit reviews across 19 subreddits and 56 posts to rank the best Statistics Book brands recommended by redditors, including communities like r/statistics, r/AskStatistics, r/learnmachinelearning, r/datascience, r/rstats. Top-rated brands include Andy Field (4.5/5), Wackerly (4.2/5), Richard McElreath (4.3/5).

Stats
Reviews141
Subreddits19
Posts56
Brands89
Products73
141 reviews from
and
By Brand
/
By Product
#1

Andy Field

4.5
(16)
"Andy Field's 5th edition of Discovering Statistics using IBM SPSS is a funny read."
·
"Field's book is a great suggestion, super approachable yet still takes the time to go into the nitty-gritty; I think it might be my top pick for anyone just getting into statistics."
·
"Discovering statistics using R by Andy Field."
·
"Any of Andy Field's books, he explains statistical concepts brilliantly at an introductory level."
·
"Is brilliant for all of the stuff you mention."
·
"Prof Andy Field has a huge number of statistics basics online."
·
"I'm currently reading 'discovering statistics in R' by Andy field. Was recommended by different people to me and I love it!"
·
"Discovering Statistics Using R by Andy Field. Best intro statistics book ever."
·
"Andy Field - Discovering statistics using R."
·
"Andy Fields books are good for social scientists."
·
#2

Wackerly

4.2
(5)
"For a more practical version with lots of problems: “Mathematical Statistics with Applications” by Wackerly, Mendehal and Shaffer."
·
"Mathematical Statistics w/ Applications by Wackerly has a pretty strong emphasis on proofs"
·
"In-depth look at stat theory."
·
"Go for Wackerly and then 'statistical inference' with Casella."
·
"Wackerly's Mathematical statistics with applications since it starts from probability theory."
#3

Richard McElreath

4.3
(4)
"I loved Richard McElreath, *Statistical Rethinking: A Bayesian Course with Examples in R and STAN*."
·
"It's not very mathy, focused on applied stats."
·
"Is worth a look."
·
#5

George Casella, Roger L. Berger

4.3
(3)
"Casella and Berger is my recommendation."
·
"The book I used and liked is George Casella, Roger L. Berger, Statistical Inference."
·
"Casella and Berger, or Hogg, McKean and Craig."
#6

Casella and Berger

4.3
(3)
"Casella, G. y Berger, R.L. (1990). Statistical Inference."
·
"If you want more math heavy, then go for Casella and Berger."
·
"Casella and Berger is usually what you'd use for your first theory course in a stats grad program."
#7

Springer

4.3
(3)
"The book is just a pure work of art -- it manages to distill the essence of mathematical statistics."
·
"My recommendation is *Generalized Linear Models With Examples in R* by Gordon Smyth and Peter Dunn."
·
"As well as [Elements of Statistical Learning]"
#8

Lady Tasting Tea

4.0
(3)
"Lady Tasting Tea might be just what you’re looking for."
·
"The Lady Tasting Tea is an easy casual read on the history of modern statistics."
·
"My go to recommendation for recreational reading for stats fans is *The Lady Tasting Tea*."
#9

Hogg

4.0
(3)
"Hogg’s Mathematical Statistics (more theory, but good exercises and examples)"
·
"Mathematical Statistics - Hogg (Calc)"
·
"Introduction to Mathematical Statistics, Hogg"
#10

Casella & Berger

3.7
(3)
"The classic reference for statistical inference is Casella & Berger’s Statistical Inference. it’s rather approachable if you have knowledge of calculus and linear algebra, but otherwise it might be a bit hard to follow."
·
"All of Statistics, Hogg Tanis and Rao (intermediate), Casella and Berger (advanced)"
·
"Once you are advanced you’re going to want to crack open casella & burger, but that book still scares the daylights out of me."
#11

Harvey Motulsky

5.0
(2)
"Is very good - I highly recommend this one."
·
"For a great beginner's resource on the ***why*** of statistical concepts from a non-mathematical perspective, I recommend Intuitive Biostatistics by Motulsky."
#12

Statistical Rethinking

5.0
(2)
"You probably want this book and set of (free) video lectures https://xcelab.net/rm/statistical-rethinking/"
·
"This is one of the best I have come across."
#13

Sheldon Ross

5.0
(2)
"Introduction to Probability models by Sheldon Ross."
·
"I've decided to get the Ross book."
#14

Silver

5.0
(2)
"“Signal and the Noise” was very entertaining and good imo."
·
"Nate Silver’s (the 538 guy) _The Signal and the Noise._"
#15

Statistical Learning

5.0
(2)
"You may want to use Introduction to Statistical Learning (ISLR/ISLP) as a workbook for ESL."
·
"An Introduction to Statistical Learning is a good start for a maths background like you."
#16

Introduction to Statistical Learning with R

5.0
(2)
"The ebook is free."
·
"Introduction to statistical learning with R"
#17

Gelman

5.0
(2)
"My absolute favorites, in no particular order are:"
·
"‘Bayesian Data Analysis’ by Gelman is a sorta the Bayesian Bible."
#18

Kirkwood and Sterne

4.5
(2)
"It's a classic."
·
"I like Essential Medical Statistics by Betty Kirkwood and Jonathan Sterne. ... Its quite good for beginners."
#19

Larry Wasserman

4.5
(2)
"For me, All of Statistics: A Concise Course in Statistical Inference by Larry Wasserman was a great read."
·
"Need a reasonable math background."
#20

Wackerly, Mendenhall, and Scheaffer

4.0
(2)
"Perhaps something like Wackerly, Mendenhall and Scheaffer's *Mathematical Statistics with Applications*."
·
"Mathematical Statistics with Applications 6th edition by Wackerly, Mendenhall, and Sceaffer."
#21

Wasserman

4.0
(2)
"All of statistics by Wasserman ... Both should have you covered as a refresher."
·
"Also: Wasserman’s All of Statistics"
#22

Tibshirani

4.0
(2)
"Tibshirani’s Intro to Statistical Learning & Elements of Stat"
·
"Also check out "An Introduction To Statistical Learning" (ISL) and "Elements of Statistical Learning" (ESL)."
#23

Statistics for Dummies

4.0
(2)
"There is a book titled Statistics for Dummies."
·
"I recommend: "Statistics for Dummies" and "The cartoon guide to statistics""
#24

O'Reilly

4.0
(2)
"This one is good, reminds me I should probably brush up on my stats, especially Bayesian"
·
"Found it to be pretty good."
#25

Probably Overthinking It

4.0
(2)
"With apologies for recommending my own book, you might like Probably Overthinking It: [probablyoverthinking.it/](http://probablyoverthinking.it/)"
·
"I think you'll like Probably Overthinking It!"
#26

OpenIntro

4.0
(2)
"If I had to pick one as an introductory self-study text?"
·
"OpenIntro Statistics"
#27

Casella

5.0
(1)
"Casella/Berger is spectacular."
#28

Statistical Rethinking by Richard McElreath, 2nd edition

5.0
(1)
"Statistical Rethinking (Richard McElreath, 2nd edition published in 2020)"
#29

Julie Pallant

5.0
(1)
"The book helped me as an undergrad and through my PhD."
#30

McElreath

5.0
(1)
"Highly, highly recommend checking out this book."
#31

Statistics Plain & Simple

5.0
(1)
"Statistics plain & simple"
#32

Udacity

5.0
(1)
"This was a better introduction to statistics than any book I found (they're free): https://www.udacity.com/course/intro-to-descriptive-statistics--ud827"
#33

MIT

5.0
(1)
"Do a Intro to statistics from MIT as well."
#34

McAlreath

5.0
(1)
"My absolute favorites, in no particular order are:"
#35

Bishop

5.0
(1)
"My absolute favorites, in no particular order are:"
#36

Faraway

5.0
(1)
"My absolute favorites, in no particular order are:"
#37

Elements of Statistical Learning

5.0
(1)
"Elements of Statistical Learning is a great, in depth look at the statistics behind ML."
#38

Kruschke

5.0
(1)
"Kruschke FTW."
#39

Graham

5.0
(1)
"Statistics--A Complete Introduction: A Teach Yourself Guide (Teach Yourself: Math & Science)"
#40

Andrew Gelman

5.0
(1)
"Bayesian Data Analysis and ISLR/ESL remain my favorites for the work I do."
#41

Tufte

5.0
(1)
"For presentation of graphics Tufte's 'The Visual Display of Quantitative Information' is great."
#42

Hossein Pishro-Nik

5.0
(1)
"Hossein Pishro-Niks book is great!"
#43

Charles Wheelan

5.0
(1)
"If you want to have a good idea of the underlying principles (not theory), check out Naked Statistics by Charles Wheelan."
#44

Dennis D Wackerley

5.0
(1)
"But if you really want a good mathematical statistics book, then go for Dennis D Wackerley Mathematical Statistics with Applications. It's super easy to learn."
#45

Blitzstein & Hwang

5.0
(1)
"I'd go with Introduction to Probability by Blitzstein & Hwang."
#46

Richard Larsen

4.0
(1)
"One book I really liked for probably and statistics is called An Introduction to Mathematical Statistics and Its Applications by Richard Larsen."
#47

Cengage

4.0
(1)
"Provides a broad overview of statistical methods for advanced undergraduate and graduate students"
#48

McGraw-Hill

4.0
(1)
"It's a bit on the cookbook-y side of things, but it covers a very wide breadth of topics in regression analysis."
#49

Essentials of Biostatistics

4.0
(1)
"You can check the following book on Biostatistics"
#51

Modern Statistics for Modern Biology

4.0
(1)
"For biology, I would add Modern Statistics for Modern Biology"
#52

John Kruschke

4.0
(1)
"I like John Kruschke's books."
#53

Discovering Statistics by Andy Field

4.0
(1)
"I liked Andy Field's book."
#54

Modern Statistics with R by Måns Thulin

4.0
(1)
"Modern Statistics with R by Måns Thulin was published in 2021."
#55

OpenStax

4.0
(1)
"I would suggest this book: [https://openstax.org/details/books/introductory-statistics/]"
#56

Larsen and Marx

4.0
(1)
"The books I'd recommend based on first-hand experience* are Larsen and Marx's introduction to statistics"
#57

Hogg et al.

4.0
(1)
"Hogg et al.'s book"
#58

Handbook of Spatial Statistics

4.0
(1)
"You can try the Handbook of Spatial Statistics as a good starting point"
#59

Spatio-temporal Statistics

4.0
(1)
"Others I have used over the years are Spatio-temporal Statistics by Wilke et al."
#60

Hierarchical Modelling and Analysis of Spatial Data

4.0
(1)
"Hierarchical Modelling and Analysis of Spatial Data by Banerjee et al."
#61

Walker's book

4.0
(1)
"Walker’s book on his R package tidycensus() has a nice introduction to spatial stats with US census data."
#62

Pevsner

4.0
(1)
"Pevsner's Bioinformatics and Functional Genomics"
#63

Compeau

4.0
(1)
"Bioinformatics Algorithms: An Active Learning Approach by Philip Compeau"
#64

Trosset

4.0
(1)
"I have only good words about it, it was written in a way that I resonated with."
#65

Learning Statistics with R

4.0
(1)
"If you know you'll be using R, this book might help: https://learningstatisticswithr.com/"
#66

Freeman et al.

4.0
(1)
"Freeman et al.: Statistics"
#67

StatQuest

4.0
(1)
"Not a serious probability book, but also get the StatQuest Illustrated Guide for Machine Learning."
#68

ISL

4.0
(1)
"Go for ISL phyton"
#69

Ableson

4.0
(1)
"Statistics as a principled argument by ableson is a great non-mathy treatment focused on statistical thinking"
#70

Westfall and Henning

4.0
(1)
"Has lots of business examples and is at the MBA level."
#71

Agreste & Finlay

4.0
(1)
"I like Agreste & Finlay (2009) *Statistical methods for the Social Sciences*."
#72

Statistics for People Who Hate Statistics

4.0
(1)
"Also one called Statistics for People Who Hate Statistics."
#73

A Dictionary of Statistics and Methodology

4.0
(1)
"And finally: A Dictionary of Statistics and Methodology"
#74

Faraway I

4.0
(1)
"And the Faraway I book if you like to programming at R."
#75

Miller and Freund

4.0
(1)
"Miller and Freunds probability and statistics for engineers. It still pop this one open now and again."
#76

FlowingData

4.0
(1)
"If you're interested in learning data visualization and pick up stats along the way, check out -- Visualize This."
#77

Daniel Lakens

4.0
(1)
"You may find [Improving your Statistical Inferences] by Daniel Lakens useful (free online book)."
#78

Motulsky

4.0
(1)
"For general Biostatistics I'd recommend 'Intuitive Biostatistics' by Harvey Motulsky."
#79

Rosner

4.0
(1)
"I feel like the Rosner book is more readable, but I've used both with students... they got the job done."
#80

Zar

4.0
(1)
"Rosner's *Fundamentals of Biostatistics* and Zar's *Biostatistical Analysis* are both good introductions."
#81

Allen Downey

4.0
(1)
"You might like [Think Stats] by Allen Downey; it is aimed at people coming from a computing background."
#82

Freedman, Pisani, and Purves

4.0
(1)
"Quite a good book is "Statistics" by Freedman, PIsani and Purves."
#83

Schaum's Outline

4.0
(1)
"[Schaum's Outline of Probability and Statistics] is a good review with lots of practice problems."
#84

Joe Best

4.0
(1)
"The book “Damned lies and statistics” by joe best might be a good start."
#85

Kuzma

4.0
(1)
"It's *very* simply written and goes into the basic tenets of probability."
#86

Montgomery

4.0
(1)
"It's a solid book, but nothing spectacular."
#87

The Art of Statistics

4.0
(1)
"I found the Art of Statistics to be a really good book if you want an overview of applied stats."
#88

Statistics for the Behavioral and Social Sciences

4.0
(1)
"Statistics for the Behavioral and Social Sciences: A Brief Course"
#89

David Freedman

4.0
(1)
"I'd really suggest Statistics by David Freedman for a general overview of the subject."

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