- Paperback: 78 pages
- Publisher: CreateSpace Independent Publishing Platform (February 26, 2013)
- Language: English
- ISBN-10: 1481173502
- ISBN-13: 978-1481173506
- Product Dimensions: 5 x 0.2 x 8 inches
- Shipping Weight: 4.8 ounces (View shipping rates and policies)
- Average Customer Review: 83 customer reviews
- Amazon Best Sellers Rank: #1,011,819 in Books (See Top 100 in Books)
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.
To get the free app, enter your mobile phone number.
Thinking Statistically Paperback – February 26, 2013
See the Best Books of 2017 So Far
Looking for something great to read? Browse our editors' picks for the best books of the year so far in fiction, nonfiction, mysteries, children's books, and much more.
Frequently bought together
Customers who bought this item also bought
If you buy a new print edition of this book (or purchased one in the past), you can buy the Kindle edition for only $0.99 (Save 80%). Print edition purchase must be sold by Amazon. Learn more.
For thousands of qualifying books, your past, present, and future print-edition purchases now lets you buy the Kindle edition for $2.99 or less. (Textbooks available for $9.99 or less.)
Browse award-winning titles. See more
Top customer reviews
Why do the Geico ads make no sense? Is your boss really as ignorant as you think, or is there something else at work? Is your girlfriend cheating on you?
Read this book (it's a quick one) to figure out how to approach these (and other) questions with some statistical rigor. It's a fun read.
=== The Good Stuff ===
*Bram's section on selection and sampling biases is dead-on. He uses simple examples and drives home his points. In my applications, this is one of the more important areas for training. We never let junior manufacturing technicians do complex statistical analysis, but we often give them tremendous latitude in sampling plans.
=== The Not-So-Good Stuff ===
* The author loses his touch when it comes to the Bayesian theorem. He gets the statistics correct, but the explanation is very wordy and plagued by several convoluted sentences. Further, in his desire to make sure there is "no math", he turns what could be a relatively simple set of equations into paragraphs of text. I understand the concepts, but had to read it several times to make sure I understood where he was going.
=== Summary ===
Those are really the only two topics covered in the short book. If you are buying it to learn statistics, or as a study aid, I'd suggest looking elsewhere. Perhaps the most useful section of the book is where the author describes how a 99% effective medical test for a relatively rare disease is roughly as useful as flipping a coin. It should be a required reprint in every Doctor's office.
I highly recommended this book, especially for: beginning students looking to get some initial motivation to study statistics or a short, fun intro to key concepts (or eager parents who want to encourage interest in statistics); intermediate/advanced students who want to get more excited by the subject matter or are looking for intuitive explanations of the concepts covered in the book (selection bias, endogeneity, Bayes Theorem); and anyone who wants to seem smart at dinner parties.
*They will learn why they likely won't save money by switching to Geico.
I happened to like Uri's style, though I agree that he goes a bit overboard with cutesy. But I think he's done this because statistics often is one of the more boring, and intimidating, topics anyone could write a book about. This book, not Uri, gets 4 stars for two reasons: 1) it separates concept from theory and formulas and 2) for being accessible, interesting, topical and pretty fun to read, especially in less than 50 pages. Bravo, Uri.