Statistics Done Wrong: The Woefully Complete Guide 1st Edition

4.5 out of 5 stars 182 ratings
ISBN-13: 978-1593276201
ISBN-10: 1593276206
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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

  • Item Weight : 11.2 ounces
  • Paperback : 176 pages
  • ISBN-10 : 1593276206
  • ISBN-13 : 978-1593276201
  • Product Dimensions : 6.13 x 0.46 x 9 inches
  • Publisher : No Starch Press; 1st Edition (March 1, 2015)
  • Language: : English
  • Customer Reviews:
    4.5 out of 5 stars 182 ratings

Customer reviews

4.5 out of 5 stars
4.5 out of 5
182 global ratings
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Top reviews from the United States

Reviewed in the United States on September 26, 2015
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Reviewed in the United States on January 23, 2017
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Reviewed in the United States on May 12, 2015
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Reviewed in the United States on October 31, 2019
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Reviewed in the United States on June 23, 2015
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Top reviews from other countries

Simon Giovanni
5.0 out of 5 stars Excellent for beginners and experiences statisticians
Reviewed in the United Kingdom on June 17, 2017
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3 people found this helpful
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Andreas Kirsch
5.0 out of 5 stars Really fun and interesting read
Reviewed in the United Kingdom on May 3, 2018
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Mr. Francis A. King
3.0 out of 5 stars Not a popular science book
Reviewed in the United Kingdom on March 9, 2018
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Kindle Customer
5.0 out of 5 stars Excellent reading, what we always suspected is now explained
Reviewed in the United Kingdom on April 5, 2017
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VS
4.0 out of 5 stars Good passtime read
Reviewed in the United Kingdom on April 2, 2019
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