Statistics Done Wrong: The Woefully Complete Guide 1st Edition, Kindle Edition

4.4 out of 5 stars 85 customer reviews
ISBN-13: 978-1593276201
ISBN-10: 1593276206
Why is ISBN important?
ISBN
This bar-code number lets you verify that you're getting exactly the right version or edition of a book. The 13-digit and 10-digit formats both work.
Scan an ISBN with your phone
Use the Amazon App to scan ISBNs and compare prices.
Kindle App Ad
We're sorry, the Kindle Edition of this title is not currently available for purchase

Top 20 lists in Books
Top 20 lists in Books
View the top 20 best sellers of all time, the most reviewed books of all time and some of our editors' favorite picks. Learn more
click to open popover

Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
  • Android
  • Windows Phone
  • Android

To get the free app, enter your mobile phone number.


Editorial Reviews

Review

"If you analyze data with any regularity but aren't sure if you're doing it correctly, get this book." -- Nathan Yau, FlowingData

"Of all the books that tackle these issues, Reinhart's is the most succinct, accessible and accurate." -- Tom Siegfried, Science News

"A spotter's guide to arrant nonsense cloaked in mathematical respectability." -- Gord Doctorow, BoingBoing

From the Author

What goes wrong most often in scientific research and data science? Statistics.

Statistical analysis is tricky to get right, even for the best and brightest. You'd be surprised how many pitfalls there are, and how many published papers succumb to them. Here's a sample:
  • Statistical power. Many researchers use sample sizes that are too small to detect any noteworthy effects and, failing to detect them, declare they must not exist. Even medical trials often don't have the sample size needed to detect a 50% difference in symptoms. And right turns at red lights are legal only because safety trials had inadequate sample sizes.
  • Truth inflation. If your sample size is too small, the only way you'll get a statistically significant result is if you get lucky and overestimate the effect you're looking for. Ever wonder why exciting new wonder drugs never work as well as first promised? Truth inflation.
  • The base rate fallacy. If you're screening for a rare event, there are many more opportunities for false positives than false negatives, and so most of your positive results will be false positives. That's important for cancer screening and medical tests, but it's also why surveys on the use of guns for self-defense produce exaggerated results.
  • Stopping rules. Why not start with a smaller sample size and increase it as necessary? This is quite common but, unless you're careful, it vastly increases the chances of exaggeration and false positives. Medical trials that stop early exaggerate their results by 30% on average.

Product details

  • File Size: 1485 KB
  • Print Length: 176 pages
  • Publisher: No Starch Press; 1 edition (March 6, 2015)
  • Publication Date: March 13, 2015
  • Language: English
  • ASIN: B00UMA61RE
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Enabled
  • Lending: Not Enabled
  • Enhanced Typesetting: Not Enabled
  • Amazon Best Sellers Rank: #290,142 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
  • Would you like to tell us about a lower price?


Customer reviews

Rated by customers interested in
Business & Economics Books
3.9 out of 5 stars
3.9 out of 5 stars
Math Books
4.0 out of 5 stars
4.0 out of 5 stars

Top customer reviews

on May 12, 2015
Format: Paperback
44 comments| 122 people found this helpful. Was this review helpful to you?YesNoReport abuse
on September 26, 2015
Format: Kindle Edition|Verified Purchase
0Comment| 4 people found this helpful. Was this review helpful to you?YesNoReport abuse
on April 6, 2017
Format: Paperback|Verified Purchase
0Comment|Was this review helpful to you?YesNoReport abuse
on June 23, 2015
Format: Paperback|Verified Purchase
0Comment| 3 people found this helpful. Was this review helpful to you?YesNoReport abuse
on June 3, 2016
Format: Kindle Edition|Verified Purchase
0Comment| One person found this helpful. Was this review helpful to you?YesNoReport abuse

Most recent customer reviews