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Product details
File Size: 47899 KB
Print Length: 176 pages
Publisher: Icon Books Ltd (June 5, 2014)
Publication Date: June 5, 2014
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B00KFEK0OC
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A great review of the history behind Statistics. Info used in my stats classes.
As a person with very little background in statistics I found this book to be very informative, mathematically educational, and enjoyable.
This book is exactly what it says it is, an introduction to statistics. It is meant to attract people to the field rather than drive them away. It is a great review of the history, philosophy, and purpose of statistics, the development of the various statistical concepts and how they relate to real-life problems. I loved the historical parts dealing with the women and men behind the science Given how pervasive and ubiquitous statistics have become in fields of study, work and even play, this book should be a required reading to any novice statistician or anyone whose life and/or work are touched by this very important field. A next great stop would be a book called "The Lady Tasting Tea" by David Salsburg and "The Unfinished Game" by Devlin. If you want to read more I recommend "The Theory that Wouldn't Die" by McGrayne.
Good read and quick delivery for Australia.
Amazing book
Good outline or history of statistics. This book is best read on kindle, where the reader can quickly search dictionary, internet (or Amazon books) for more in depth information. After reading, you should be much more able to follow conversations and offer intelligent criticisms to news stories.
Not everything in this book is bad: the historical information is very interesting. (The author has a PhD in the history of science.)Unfortunately, however, the book is riddled with blunders and misconceptions, obfuscations and inaccuracies.Consider just one topic: the standard deviation -- pretty important when it comes to understanding statistics.We are told that the standard deviation 'indicates how widely or closely spread the values are in a set of a data' (fine so far, apart from the typo of an extra 'a'), and then that it 'shows how far each of these individual values deviate from the average'. No: as a single summary figure, the standard deviation cannot possibly give information on 'each of these individual values'. (That is not its purpose, of course; indeed it almost the exact opposite of its purpose.)The accompanying graphic carries the information that the 'standard deviation ... corresponds to the moment of inertia ... of dynamics'. No: it corresponds to the radius of gyration. And we are told that the moment of inertia is 'a geometrical property of a beam, and a measure of the beam's ability to resist buckling or bending'. Oh dear! Clearly the author's grasp of mechanics is no better than her grasp of statistics.The formula for the standard deviation is then given -- but it is typeset incorrectly!Next, the standard deviation for a set of data (with mean 8) is calculated (correctly!) as 2.82. The accompanying comment is 'This means that the average amount of deviation in this set of data is 2.82 units away from the mean value of 8 and that, therefore, there is a small amount of variation in this sample'. There appears to be no explanation of the criterion by which the variation is deemed large or small. Certainly it is not a criterion known to this statistician.Finally, we have 'Although the standard deviation indicates to what extent the whole group deviates from the mean, it does not show how variable a particular group is.' I have read that over and over again and I am at a loss to know what it is trying to say.I wish I could say that the other statistical concepts in the book fared better than the standard deviation -- but they don't. I can't resist mentioning the coefficient of variation which is said to be useful in comparing the variability of temperatures in two cities, one set of measurements being in in degrees Celsius and the other in Fahrenheit. This, of course, is a perfect example of when it would *not* be appropriate to use the coefficient of variation -- because the mean could be zero and the coefficient of variation would then be infinite.If you understand anything about statistics this book will infuriate you; if you don't understand much about statistics the book will hinder not help.Avoid!
The framework and historical background provided the context I needed to finally understand what the point is for the different tests. And that's after receiving A's in two semesters of post-grad statistics! Great job of providing useful, simple explanations!
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