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Statistical Analysis: Microsoft Excel 2013, by Conrad Carlberg
PDF Download Statistical Analysis: Microsoft Excel 2013, by Conrad Carlberg
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Use Excel 2013’s statistical tools to transform your data into knowledge
Conrad Carlberg shows how to use Excel 2013 to perform core statistical tasks every business professional, student, and researcher should master. Using real-world examples, Carlberg helps you choose the right technique for each problem and get the most out of Excel’s statistical features, including recently introduced consistency functions. Along the way, he clarifies confusing statistical terminology and helps you avoid common mistakes.
You’ll learn how to use correlation and regression, analyze variance and covariance, and test statistical hypotheses using the normal, binomial, t, and F distributions. To help you make accurate inferences based on samples from a population, this edition adds two more chapters on inferential statistics, covering crucial topics ranging from experimental design to the statistical power of F tests.
Becoming an expert with Excel statistics has never been easier! You’ll find crystal-clear instructions, insider insights, and complete step-by-step projects—all complemented by extensive web-based resources.
- Master Excel’s most useful descriptive and inferential statistical tools
- Tell the truth with statistics—and recognize when others don’t
- Accurately summarize sets of values
- Infer a population’s characteristics from a sample’s frequency distribution
- Explore correlation and regression to learn how variables move in tandem
- Use Excel consistency functions such as STDEV.S() and STDEV.P()
- Test differences between two means using z tests, t tests, and Excel’s Data Analysis Add-in
- Use ANOVA to test differences between more than two means
- Explore statistical power by manipulating mean differences, standard errors, directionality, and alpha
- Take advantage of Recommended PivotTables, Quick Analysis, and other Excel 2013 shortcuts
- Sales Rank: #419428 in Books
- Published on: 2014-04-13
- Original language: English
- Number of items: 1
- Dimensions: 8.90" h x 1.20" w x 7.00" l, .0 pounds
- Binding: Paperback
- 512 pages
About the Author
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.
Most helpful customer reviews
13 of 13 people found the following review helpful.
A Practical Use of Statistics for people without a lot (or any) statistical background
By Broken
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.
8 of 8 people found the following review helpful.
Excellent course supplement
By William A. Wilson
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.
7 of 7 people found the following review helpful.
This Book is a Keeper!!!
By Gary Vander Sande
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.
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