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Statistical Analysis: Microsoft Excel 2013 (Englisch) Taschenbuch – 3. April 2014

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Über den Autor und weitere Mitwirkende

Conrad Carlberg started writing about Excel, and its use in quantitative analysis, before workbooks had worksheets. As a graduate student, he had the great good fortune to learn something about statistics from the wonderfully gifted Gene Glass. He remembers much of that and has learned more since. This is a book he has wanted to write for years, and he is grateful for the opportunity.

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A Practical Use of Statistics for people without a lot (or any) statistical background 30. Mai 2014
Von Broken - Veröffentlicht auf
Format: Kindle Edition
This is a pretty good book. As I am still working my way through it I can't speak for the later chapters more than my skimming them to see what they contained.
I will try to detail out what this book is and how it handles itself (which is in essence why I characterize it as a "good" book).

Firstly, this is not a reference book.

There is an index that seems quite detailed so if you want to reference something you can. However what I mean by it not being a reference book is that you cannot ask yourself, "How do I do such and such in Excel?" and then go look up the answer within a minute. So that is sort of a negative, but really, in the end it is not because the book is much more than that.

This book goes into great detail to explain statistics.
Simply reading the introduction really breaks you in to where the author is coming from and how he approaches the book.

He assumes you know NOTHING about statistics.

Think of him like a teacher, but one you are sitting down and having coffee with. He simply explains to you statistics in steps, and allows you to absorb it. Sometimes you absorb faster than others, sometimes he needs to repeat himself (basically meaning you go back and re-read the last page to make sure you understand). Each explanation comes with an example that is simple and made up (because it is an illustrative example) but seems plausible and lets you understand how and why this could be used.
Remember that scene from Peggy Sue Got Married? She sits in her math class and tells the teacher she doesn't need Algebra in real life. A classic, funny moment, but this book isn't that. It shows you how the Statistics are used, and why they are important. There are probably many analysis' that you won't need, but you can at least still see how many other people would need and use them frequently.

Then about the Excel part.
The book handles this more easily than the statistics part. Basically because there are not many changes in Excel from any particular version, and if there are the author details out what they are (which is pretty great in my mind because I have used Excel for 15+ years and can't break down all the various nuances in the versions).This is also a good quality because it really doesn't matter which version of Excel you have.

I would say that while the book details steps very well for the Excel process and procedures, you really need to have at least basic knowledge of Excel in order to use this book. But I also think that is a good presumption, as if you didn't know basic use of Excel (how to set up spreadsheets, input formulas, etc...) then you wouldn't be looking at a book on Statistical Analysis in the first place.

So what can you expect out of this book?

Like I previously alluded to, this is more a Statistics book than Excel book. I would say that you can expect to glean "practical use of statistics" where you just happen to use Excel to do so (because in this day and age nobody would be using pads of paper). In fact I put the whole practical part in quotes because I think that would be a good type of title. It isn't theoretical, and while it could be considered textbook statistics, the fact that the book shows how to use statistical concepts in real world analysis.

That is really the golden nugget here, because statistics is a thought process. It isn't about an equation to plug into and get an answer. It is how to think about organizing and reading your data to see what it tells you.

Similarly, Excel is a very powerful program, but unless you as a user can think of how to work in the program to find a solution to what you are looking for, then you will never unlock the true power of how Excel can work. The book doesn't go into this as much as I would like, but it covers more than enough statistics to make up for it.

So take a look at the preview available here. It is indeed a good sample of what the book is.
It will give you a great understanding at how the book is written, how it approaches explaining things, and the level of detail you can expect. You can also look through the contents listing to see all the various Statistical concepts and expressions that will be covered.
7 von 7 Kunden fanden die folgende Rezension hilfreich
Excellent course supplement 7. Dezember 2014
Von William A. Wilson - Veröffentlicht auf
Format: Taschenbuch
I can’t say enough good things about Carlberg’s Statistical Analysis for Excel 2013. I have been using it as a supplemental text in an MBA statistics class, and it’s been very helpful. Of the four or five similar books that I bought on the subject, this is the only one that I’d recommend, and I do so with no reservations. It would be especially helpful with any introductory statistics program.

The author goes into a good deal of depth about the statistical formulas and tests (no calculus required). This aspect helped a lot in understanding the mechanics of the various analyses, and how each part of a test contributes to the result. He includes ‘manual’ calculations using individual formulas, as well as Excel’s built-in formulas and Data Analysis tools. I can contrast this with other course materials (especially those from undergraduate social science statistics courses) that just focus on the type of test to use under certain circumstances, and brief interpretations of the results.

The example files are also quite useful (another thing that I found lacking in other similar titles). The author includes backward compatible formulas for earlier versions of Excel, which I found indispensable for use at work, where I have to use Excel 2007.
5 von 5 Kunden fanden die folgende Rezension hilfreich
This Book is a Keeper!!! 28. Februar 2015
Von Gary Vander Sande - Veröffentlicht auf
Format: Taschenbuch Verifizierter Kauf
WOW!!! Reading this book is like re-taking my Mathematical Statistics course, except without using a dedicated statistics program supplied the university. It is an excellent refresher course that is superbly structured in which the reader builds his/her knowledge of both statistics and MS Excel's Data Analydis Add-In. Until I read this book, I had never understand how to fully use the Data Analysis Add-in package (or its earlier versions) as MS Excel's explanation is deplorable. It's of little or no help whatsoever.

I particularly like the manner in which the author doesn't require the reader to read each chapter sequentially. He allows a little wiggle room by referencing prior examples and inserting notes that specifically reference pertinent points discussed in prior chapters. Also, his step-by-step approach to charting is fantastic. As an example, I never would have envisioned using MS Excel Charts to illustrate an overlapping comparison of "areas under the curve", let alone figure out how to do it.

This book is an excellent reference tool, which allows the reader to apply statistical analyses to everyday situations while utilizing a software program that in all likelihood the reader already owns.
3 von 3 Kunden fanden die folgende Rezension hilfreich
Detailed and Practical Statistics for Beginner and Intermediate Users 14. September 2014
Von Scott R. Garrigus - Veröffentlicht auf
Format: Taschenbuch
One thing to note about this book before you consider your purchase is that it assumes you are a complete beginner and know basically nothing about statistics, however, you do need at least a basic knowledge of how to use Excel. In addition, it is not an Excel reference guide. For that you'll need to look elsewhere or at the Excel manual. With that said, Statistical Analysis: Microsoft Excel 2013 is an excellent guide to statistics and Excel forumlas. The books starts with a brief introduction and then a first chapter about variables and values in Excel.

The book then naturally progresses to information about calculating the mean, median and mode, as well as measuring variability and standard deviation. You'll learn about correlation, pivot tables, Chi-Square functions, normal distribution, testing means, some of the limitations and solutions of using Excel's functions and tools, plus more. In addition, some more advanced chapters are included that cover ANOVA, multiple regression, ANCOVA, and analysis of covariance.

The book is nicely designed with a font and layout that is easy on the eyes, and includes plenty of Excel screenshots along with many graph figures that are explained in detail. If you're looking to explore statistics with Microsoft Excel, then you'll find Statistical Analysis: Microsoft Excel 2013 to be an excellent read. --- Find more reviews at
1 von 1 Kunden fanden die folgende Rezension hilfreich
Very thorough 30. Mai 2014
Von steven oden - Veröffentlicht auf
Format: Taschenbuch
As an advanced user of Excel I did not find this book as helpful as some others may find it. However, I highly recommend this book for newer/intermediate users of excel & statistical analysis. This book gives very thorough and step by step instructions from the very simple statistical analysis (Mean, median, etc…) to the more advanced types of analysis (Multiple regression, CoVar, etc...). If you are a beginner to statistical analysis in excel or an intermediate user you will find this book helpful with designing meaningful workbooks. You will also have an easy to read reference with step by step instructions on how to set up the statistical analysis you wish to perform.
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