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# Statistics Done Wrong: The Woefully Complete Guide

by

Everyone knows that abuse of statistics is rampant in popular media. Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong.

"Statistics Done Wrong" comes to the ...more

"Statistics Done Wrong" comes to the ...more

## Get A Copy

Paperback, 176 pages

Published
March 16th 2015
by No Starch Press
(first published April 27th 2013)

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It's a very well-writt ...more

Towards the end, the book veers a bit off course and get more into the ethics of research and research publication. It is interesting (but not really ne ...more

So who is this book for then? Everyone who works with statistics and/or data analytics, and wants to get a handle on some of the most common mistakes and fallac ...more

I consider myself reaso ...more

It's mostly stuff I think I already knew, but it was helpful to have it systematically and clearly presented.

The author is a CMU statistics grad student with a physics back ...more

- "If you administer questions like this one [a typical question about base rate fallacy] to statistics students and scientific methodology instructors, more than a third fail. If you ask doctors, two thirds fail." Yikes

- "of the top-cited research articles in medicine, a quarter have gone untested a ...more

1. Normal distribution

2. How to use p value with confidence intervals?

3. When to use p value?

4. How to tread between the fine line of using deceptive statistics vs reading the actual impact

A lot of strategies in the organisation is built seeing the co-related data but there is never an attempt to find the causation. This book highlights how we can do so with the examples in Pharma R&D industry.

Overall, it is a good read and a highly recommendable one.

The author states in his introduction that he wants ...more

The main value of this book I think are all the anecdotes of statistic ...more

Yes, people over-rely on and misinterpret p-values. Yes, people "double-dip" and torture/exhaust their data, hunt for statistically sig ...more

ch2: confidence intervals offer more information than p-values and can be used to compare groups of different sizes. statistical power is very important, and underpowered studies might result in truth inflation. statistically insignificant does not mea ...more

I wish it were much longer and in depth. (As it is, it focuses far too much on statis ...more

Topics include: type M error and the problem of underpowered statistics, pseudoreplication, the base rate fallacy, the problems with p values and why confidence intervals are so much better, double dipping data and when to stop a study, the problems wit ...more

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