Statistics Done Wrong : The Woefully Complete Guide by Alex Reinhart
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A book that looks new but has been read. Cover has no visible wear, and the dust jacket (if applicable) is included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections.
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Located in: Flat Rock, Michigan, United States
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eBay item number:354640476989
Item specifics
- Condition
- Subject
- Probability & Statistics / General, Statistics, Research & Methodology
- ISBN
- 9781593276201
- Subject Area
- Mathematics, Science, Business & Economics
- Publication Name
- Statistics Done Wrong : the Woefully Complete Guide
- Publisher
- No Starch Press, Incorporated
- Item Length
- 8.9 in
- Publication Year
- 2015
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 0.5 in
- Item Weight
- 11.9 Oz
- Item Width
- 6.1 in
- Number of Pages
- 176 Pages
About this product
Product Identifiers
Publisher
No Starch Press, Incorporated
ISBN-10
1593276206
ISBN-13
9781593276201
eBay Product ID (ePID)
204032060
Product Key Features
Number of Pages
176 Pages
Language
English
Publication Name
Statistics Done Wrong : the Woefully Complete Guide
Subject
Probability & Statistics / General, Statistics, Research & Methodology
Publication Year
2015
Type
Textbook
Subject Area
Mathematics, Science, Business & Economics
Format
Trade Paperback
Dimensions
Item Height
0.5 in
Item Weight
11.9 Oz
Item Length
8.9 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Trade
LCCN
2015-002128
Dewey Edition
23
Reviews
"A surprisingly entertaining read. If you feel like you have a decent handle on basic statistics, but wouldn''t trust yourself to set up your own analysis or experiments, you''ll certainly gain something from Statistics Done Wrong ." --Michael Kohl, Citizen428.blog "A bold book, and a fascinating one at that...truly enjoyable, and will forever change the way you view statistics." --Ben Rothke, information security professional "A delightful and informative guide...a compilation of clarity." --John A. Wass, Scientific Computing "A spotter''s guide to arrant nonsense cloaked in mathematical respectability." --Gord Doctorow, Boing Boing "Anyone evaluating published research, or anyone analyzing data, must understand these topics to understand (or do) science properly. This book is highly recommended." --Harvey Motulsky, author of Intuitive Biostatistics "I will certainly recommend the book to others who have an interest in medical statistics and indeed to medics who have a dislike of statistics!" --Dr. Catey Bunce, Lead Statistician at Moorfields Eye Hospital NHS Foundation Trust "I ADORE THIS BOOK and plan on sharing it with many of my students...amazing." --Dr. Nicole Radziwill, Assistant Professor, Department of Integrated Science & Technology, James Madison University "Good for newsrooms to have copies of this." --Raju Narisetti, SVP, Strategy, @NewsCorp "A well-written, funny, and useful guide to the most common problems in statistical practice today." --Civil Statistician "The kind of study guide that I think could benefit almost anyone slogging through a statistical analysis for the first time." --Joseph Rickert, Revolution Analytics "I wish every doctor could read this." --Eric LaMotte, MD, University of Washington Internal Medicine Residency Program "A great read...I would recommend it to any scientist exposed to statistics as well as to any non-scientist who would like to understand more about what may lie behind the ''statistically significant'' results from studies reported in the media every day." --Ulla Sovio, Senior Research Associate, Applied Medical Statistics, University of Cambridge "Anyone who wants a chance at understanding research findings should consider this book as an invaluable guide to getting it right." --Sandra Henry-Stocker, IT World "An important addition to any data scientists library. In addition, the pithy writing style will keep your interest and fuel your creativity for future projects. Highly recommended." --insideBIGDATA "In the world of Big Data and Risk Analytics hype, Statistics Done Wrong is refreshing well grounded and kinda fun." --Erik Heidt, Gartner "Yes, it''s brilliant writing and guaranteed to keep you awake for the important lessons. This is the best book I''ve read on the subject. Highly recommended!" --Adam Tornhill, programmer, psychologist, Lisp hacker, and author "A small but important book. It should be required reading for all scientists, especially editors of journals and officials of funding agencies (not to mention science journalists -- well, all journalists)." --Tom Siegfried, Managing Editor, Science News "Right up there with classics like How to Lie With Statistics ." --Cory Doctorow, sci-fi author "Overall, this book is a book that meets people where they''re at . . . It''s not overly complex, or overwhelming to new learners. It has a clear audience: people who might make these statistical errors and those who might consume these statistical errors. . . . it knows its audience and makes deliberate choices with that audience in mind." --Chelsea Parlett Pelleriti, Ph.D., Chapman University
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
Introduction Chapter 1: An Introduction to Statistical Significance Chapter 2: Statistical Power and Underpowered Statistics Chapter 3: Pseudoreplication: Choose Your Data Wisely Chapter 4: The p Value and the Base Rate Fallacy Chapter 5: Bad Judges of Significance Chapter 6: Double-Dipping in the Data Chapter 7: Continuity Errors Chapter 8: Model Abuse Chapter 9: Researcher Freedom:Good Vibrations? Chapter 10: Everybody Makes Mistakes Chapter 11: Hiding the Data Chapter 12: What Can Be Done? Notes Index
Synopsis
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. You'll find advice on- -Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan -How to think about p values, significance, insignificance, confidence intervals, and regression -Choosing the right sample size and avoiding false positives -Reporting your analysis and publishing your data and source code -Procedures to follow, precautions to take, and analytical software that can help Scientists- Read this concise, powerful guide to help you produce statistically sound research. Statisticians- Give this book to everyone you know. The first step toward statistics done right is Statistics Done Wrong ., 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. You'll find advice on: -Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan -How to think about p values, significance, insignificance, confidence intervals, and regression -Choosing the right sample size and avoiding false positives -Reporting your analysis and publishing your data and source code -Procedures to follow, precautions to take, and analytical software that can help Scientists: Read this concise, powerful guide to help you produce statistically sound research. Statisticians: Give this book to everyone you know. The first step toward statistics done right is Statistics Done Wrong .
LC Classification Number
QA276.R396 2015
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Most relevant reviews
- Jan 07, 2024
Excellent introduction
Verified purchase: YesCondition: NewSold by: melsch_6812
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Seller feedback (628)
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- o***a (279)- Feedback left by buyer.Past 6 monthsVerified purchaseExcellent service.
- p***d (1240)- Feedback left by buyer.Past monthVerified purchase5 star seller, fast shipping, thank you for taking my offer. I am a senior on a fixed income. I will keep you as a favorite seller. Shipping, packaging & value all great, perfectly described. Thank you Becky
- o***g (4798)- Feedback left by buyer.Past yearVerified purchaseWonderful experience! Seller packaged with GREAT CARE and shipped with LIGHTNING SPEED!!! Item was as described. Great Communication! Highly Recommend this seller! Thank you again! :) A+++Lot of 10 Signet Classics William Shakespeare Book Vintage Paperback 1960’s (#356145890104)
- e***d (68)- Feedback left by buyer.Past 6 monthsVerified purchaseThe books were meticulously packaged with two sets of bubble wrap and the books are pristine. Exactly as described. Quick shipping. Thank you very much!