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Excel Statistics: Step by Step, by Stephanie Glen
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A comprehensive guide to using Excel for elementary statistics. Includes over 60 functions for Excel 2007-2013, from basic descriptive statistics to hypothesis testing.
Topics include: Range, Mean, Mode, Median, Interquartile Range, Standard Error, the Data Analysis Toolpak, Skewness, Kurtosis, finding samples, T-Tests, Z-Tests, ANOVA, regression and dozens more. Stephanie Glen has taught college-level statistics since 2007 and is the author of the popular statistics help website, StatisticsHowTo.com.
- Sales Rank: #1346678 in eBooks
- Published on: 2014-02-28
- Released on: 2014-02-28
- Format: Kindle eBook
Most helpful customer reviews
2 of 2 people found the following review helpful.
A total package!
By Arthur D. Schwartz
Stephanie Glen's Excel Statistics: Step by Step is a valuable tool and a real confidence-builder for any beginning statistics student or anyone who wants to learn how to use Excel's statistical functionality. She methodically explains each function and application so that even the beginning student can get a handle on processing complex calculations that Excel handles with ease. The author explains that while Excel is a great spreadsheet, it is not the ideal or most advanced program for statistical analysis. However, she points out that Excel certainly beats the hefty cost of more advanced statistical software packages that are well outside the price range of what most students and non-professionals are willing to spend. With this book, Glen shows you how to maximize the value of Excel for statistics.
This book is really two books in one because it explains step-by-step the functionality for Excel 2013, and Excel 2007 thru Excel 2010 in two separate sections. And the highly detailed index points the user to the applicable pages where functionality diverges in the older and newer additions of Excel.
As someone who is inexperienced in statistics, I can highly recommend this book not only for its exceptional clarity and patient, methodical explanation on how to use Excel for statistical applications, it is also a very good introduction to basic stat concepts. Basic concepts such as range, mode, median, mean and standard deviation (and sample variance) are initially discussed. Then, more advanced topics are gradually introduced including sample testing and comparisons. The author explains "z tests" that compare the means of two sample datasets, "t-tests" that compare the before and after results of statistical comparisons, and comparisons of datasets with equal and unequal variances (i.e. spread from the standard deviation). After laying a foundation for using and analyzing basic stat concepts in Excel, the author moves on to discuss more advanced subjects such as regression analysis that can be used for forecasting and modeling, and other topics that are addressed in stat classes such as percentile rankings, moving averages, and Fourier Analysis ("a useful tool for studying phenomena like sound or neural pathways.")
Demonstrations on using Excel for creating graphic representations of your statistical outcomes are another fine touch in a highly worthwhile tool for any aspiring student of statistics. But there is a hidden bonus that you get when you begin to read and work with this book. The author's website--referenced in the book, is a true companion to Excel Statistics: Step by Step and will help sharpen your interest in statistics. In addition to articles and videos (see her YouTube channel) that further exemplify the topics discussed in the book, Stephanie Glen's blog steps outside the box a bit and ventures into unexpected areas such as "Even physicians don't understand statistics" and "Math and Art Meet Statistics." Taken together, this book gives you a total package!
2 of 2 people found the following review helpful.
Didn't know I could do so much with Excel
By Chloe H
Microsoft Excel has long been my favorite computer program: as a Merchandising major, Excel is very necessary in completing any number of financial reports or analyses. Statistics in Excel, however, was a daunting and new task for me. Luckily, I happened upon this book and thought I'd give it a try to help me deliver my statistical analyses better using Excel.
This book was VERY helpful in my use of Excel 2007 since I have always used 2003 in the past, and since I've gotten 2007 I've had some confusion. It gives step-by-step, helpful instructions so you can't possibly get lost - and believe me, if anyone could I could! It even helps you make the professional-looking graphs that set your worksheets and reports apart from your peers. After getting this book, I love using Excel in my work and school even more and feel better equipped to deal with the statistics work that's coming my way.
1 of 1 people found the following review helpful.
Very helpful!
By Stuart King
I used to use Microsoft Excel extensively in a previous job. After that, my skills deteriorated due to lack of practice. I attempted to use the Office 2010 to do something I had usually easily done before with 2003, but the new version was significantly different. I was lucky to have found this little book. It solved my problems and in about 10 minutes. With this Excel quick guide, it was a piece of cake to understand the new version. It is well worth the price.
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