Get Free Ebook Thinking Statistically

Get Free Ebook Thinking Statistically

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Thinking Statistically

Thinking Statistically


Thinking Statistically


Get Free Ebook Thinking Statistically

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Thinking Statistically

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Audible Audiobook

Listening Length: 1 hour and 31 minutes

Program Type: Audiobook

Version: Unabridged

Publisher: Capara Publishing

Audible.com Release Date: February 18, 2015

Language: English

ASIN: B00TR1QMUU

Amazon Best Sellers Rank:

Great introduction to statistics; good read for those easily intimidated by equations; fun and practical examples -- all of these, as other reviewers have highlighted are true. That said, personal experience shows (insert selection bias warning here) that all of us, including those who studied statistics, are comfortable with equations, and may even need to apply these techniques in our professions... still manage to forget, stumble, and mess up the basics. And the best recourse is to periodically remind yourself of the basics - e.g. read a book like this one.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.

First of all, I was disappointed. I hate it when I order one of these short books. But that is my fault, so no one to blame. I am an engineer, and use statistics all the time, so there was nothing new in the book for me. But I often struggle with explaining statistics to non-technical colleagues, and am always on the lookout for good ways to do that.=== 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.

While this very short introduction to the concepts of statistics is valuable to those who don't think "statistically," I have to point out that this field is a no-win situation in terms of satisfying your readers. While some are understandably upset by Uri's glossing over some important formulas and details, others are excited to have the opportunity to read accessible material about a topic that often frightens regular people. Then there are those who bag the book because of Uri's writing style, and I'm sure others who like the tongue-in-cheek approach. While I could excoriate the reviewers who are bothered/liked the writing style, I won't because this is, frankly, a critical element of reading. Think of your favorite/least-favorite novelists (you do have some, right?) and consider one element of why you did/didn't like them. This applies to any type of reading or content understanding/interest.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.

When it comes to rating statistic books I guess we are all reviewing books that might not have the largest of reading audiences. This is what what makes this book a tremendous value...it's entertaining and insightful.... and a book about stats. Go figure. Well of course it's a short book but almost every page is jammed pack with important and interesting ways to view your life. You will find yourself questioning advertisements and claims like never before. For a small investment in time and money this book should really add a lot of value to your life.

Good for people who are intimidated by numbers and equations, but still wnat ot know some of the tricks commonly used to decieve the public by the media, government agencies, and corporate world. Learn why "switching" data always makes the advertiser look better than they are, how census numbers are used to lie to you, etc.

It was a good read and did explain some issues with Stats. What I really am looking for is a learn statistics from the ground up. I've taken courses in College, but as I'm trying to take some courses on Coursera, I'm discovering I don't remember as much as I should. I want in depth knowledge quickly! :)Great book though.

This book offers a simple, engaging introduction to key statistical concepts. More advanced students may not encounter any new concepts* but they will be helped by the author's intuitive explanations that make the fundamentals taught in years of statistics and social science courses make sense like never before.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.

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