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Statistical Analysis: Microsoft Excel 2010
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- Published on: 1600
- Binding: Paperback
Most helpful customer reviews
49 of 53 people found the following review helpful.
I'm having a datagasm reading this
By Student
I mean, I live in excel, and love math and stats and stuff. So, as one can imagine, a book that gives your help on running statistics in excel is pretty cool (for me, at least).
It's odd, really, that there are not more books that cover this subject. I think that the reason is that, for some time, excel has been somewhat poo-pooed as not the right tool to do "real" statistics. Of course, "real" statiticians use SPSS, SAS, R, or whatever. The author of this book, though, takes on this issue in the introduction. I should also note that the author's writing style is easy and actually quite humorous at times. Reading this book is a real pleasure. So is seeing all of the ideas presented in those oh-so-familiar excel screenshots.
Yes, you can do real statistics without Minitab, Matlab, or Mathmatica. Excel is probably the most flexible and extensible tool that a data analyst can use. This book will help you learn how to do real honest-to-god statistics usingit.
I should note that there is another, very good, book covering somewhat similar ground. Statistical Analysis with Excel For Dummies by Joseph Schmuller.
If your like me, and actually enjoy reading this kind of stuff, get both.
32 of 34 people found the following review helpful.
The missing manual on using statistics on Excel
By Jaewoo Kim
What makes this book great is the author's thorough understanding of both statistical concepts and Excel.
I actually think the author did a better job of explaining statistical concepts than how to apply them using Excel, and his explanation of the Excel's statistical functions was very good. He also details the subtle but important differences between similar excel functions such as STDEV vs STDEVP.
Excel is an underrated statistical tool and perhaps the most widely used statistical analysis tool today. If you want to enhance your abilities to utilize Excel's statistical tools, then this book is great.
One note, if you have no previous understanding of statistical concepts, this book may baffle you and I recommend reading upon a beginning statistical book (or take a course). But if you want a statistical refresher, then this book is a great choice.
Pros:
1)Very good writing style.
2)Crisp explanation of basic statistical concepts
3)Very detailed explanations of core Excel statistical functions.
Cons:
1)No download of sample Excel spreadsheets.
2)The chapter on regression was little lacking in details.
***Update***
There is a download of the excel spreadsheet available at
22 of 25 people found the following review helpful.
Really excellent content and writing style
By Philip D. Hickey
I'm eight chapters into this book and without a doubt it's the best statistics book I've ever read - period. The author thoroughly explains ALL statistical concepts introduced and then shows the implementation in Excel. It becomes clear very quickly that the author thoroughly understands what he's trying to explain - that's why you feel like you fully understand a topic after each chapter. Nothing is glossed over and complex concepts are broken down to make understanding them much easier, I particularly appreciated the "this is what you might also see this referred to as" comments throughout the text. No one will be disappointed after buying this book. My only disappointment was that after a couple of chapters I immediately searched for other books by this author but was disappointed to not see more statistics titles. Conrad,thank you for writing this book it has given me a new appreciation and understanding on some pretty dull but really useful techniques that I'd never have considered doing in Excel prior to this. Excellent , excellent book!!
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