Rabu, 10 Juli 2013

Free Ebook Naked Statistics: Stripping the Dread from the Data

Free Ebook Naked Statistics: Stripping the Dread from the Data

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Naked Statistics: Stripping the Dread from the Data

Naked Statistics: Stripping the Dread from the Data


Naked Statistics: Stripping the Dread from the Data


Free Ebook Naked Statistics: Stripping the Dread from the Data

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Naked Statistics: Stripping the Dread from the Data

Product details

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Audible Audiobook

Listening Length: 10 hours and 48 minutes

Program Type: Audiobook

Version: Unabridged

Publisher: Audible Studios

Audible.com Release Date: April 23, 2013

Language: English, English

ASIN: B00CH7FWWU

Amazon Best Sellers Rank:

In my profession in the financial field I stay on the lookout for books that may make it easier to explain some of the concepts I use to the clients I work with so picked this one up to see how it handled statistical analysis and regression. I had long been a fan of the classic "How to Lie With Statistics" by Darrell Huff written in the 50's and this book is "an homage" to that work. I enjoyed it because I like statistics and I think the average reader will enjoy it but they may want to shy away from the chapter appendixes as they get more in depth. The author does a good job of steering away from the more complex issues (non-linear regression analysis, for example) and comes up with some good examples to illustrate his points. He does one of the best jobs I have encountered of explaining the "Monty Hall problem" which is why an individual, after having picked say, "door number one" and Monty shows that door number 3 has a goat behind it and offers to let the contestant change his mind to door number 2. It sounds counter intuitive but the right choice is to make the change. Why? Guess you'll have to get the book and check it out.I liked his explanation of concepts enough that I purchased his book "Naked Economics" despite my extensive study of the topic in anticipation that I will find some nuggets of explanation that I can use.

I received this as gift to help me with a Stat class I was taking. It does well explaining basic statistical concepts in plain English with a startling lack of numbers in the examples. Where a traditional textbook fails in explaining it's material and it's relevance, this book excels. I had hoped it would reconcile my difficulties understanding regressional analysis but that did not come to fruition. The author has some humor that he applies sparingly and is welcomed and the examples make the knowledge gained seem relevant. That aside, don't expect to learn statistics by reading this alone. There is little re-read value to it as it presents itself in a storytelling manner which you wouldn't need to hear again. Do not let that dissuade your purchase as this does what most educational texts fails to do, which is mak you care about the subject and see its prevalence in society.

I'm tardy on submitting a review on this as I read it awhile ago.I purchased this book as a step on my journey to build up certain skill sets and knowledge in a field that I wish to break into and combine with my current expertise. This book was a great read on statistics. In my opinion, the author did a fantastic job explaining concepts and how the associated formulas worked in a slightly technical way, but mostly leading into explanations in layman' terms. In particular, the examples he used to further explain the material really brought everything together and made it easy to understand and retain. They weren't just the typical generic and sterile situational type of examples, rather something that the vast majority of readers can relate to or, at least, visualize more simply. Something that was more interesting to get the reader vested in the material.Thanks to the author for taking the time to write this. I have your other books on my reading list now.

The description "easy read" should not go with a book that explains statistics. Unbelievably, this book does that. I have read books and taken graduate level courses in an effort to learn statistics to transition from medical care to medical research. Although this book would be far from replacing those, it has taken much of the pain and obtuse explanations away and supplanted them with easy to understand lingo and real world application. I understand concepts much better after reading this book. Heck, I may try and learn economics by reading the same authors book on that subject ( which I have no clue about one, but will soon!)

I found naked statistics to be a very interesting read and while I did learn a lot, I didn’t get the formulas to address the specific applications I was seeking. I would like a simple table of formulas and their applicable uses that I could program into a spreadsheet to play around with. The stories, while educational and relevant, were also distracting to my purpose in reading the book in the first place. I would, however, highly recommend this book for students and people with less life and business experience than a 76 year old.

This book not only gives great insight into the realm of statistics, but delivers it in a fashion that is very easy to read. Wheelan explains the basics concepts in statistics, from probability to regression, with such simplicity. Though I personally already had a large amount of knowledge in the field of statistics prior to reading this book, i found myself being able to understand the basics with Wheelans examples far more easier than being previously taught these came concepts in the classroom. While a book on statistics may seem daunting and quite boring, Wheelan does a fantastic job of keeping the reader engaged with humor and real life examples of how statistics applies to the world we live in today. Whether you are reading this to grab a basic foundation of statistics or are brushing up on the concepts, this book is a must read!

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Naked Statistics: Stripping the Dread from the Data PDF

Naked Statistics: Stripping the Dread from the Data PDF

Naked Statistics: Stripping the Dread from the Data PDF
Naked Statistics: Stripping the Dread from the Data PDF

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