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They have their uses, and Excel provides them as statistical functions, but my picking and choosing forced me to ignore them-at my peril, probably-and to use the space saved for material on more bread-and-butter topics such as statistical regression. You shouldn’t expect to find discussions of, say, the Weibull function or the lognormal distribution here. The idea in both that book and this one is to identify a topic in statistical (or business) analysis discuss the topic’s rationale, its procedures, and associated issues and only then get into how it’s carried out in Excel. Instead, I take an approach that seemed to work well in an earlier book of mine, Business Analysis with Excel. To shoehorn statistics and Excel into 400 pages or so takes some picking and choosing.įurthermore, I did not want this book to be an expanded Help document, like one or two others I’ve seen. In 2001, I co-authored a book about Excel (no statistics) that ran to 750 pages. The text used in the first statistics course I took was about 600 pages, and it was purely statistics, no Excel. The problem is that it’s a huge amount of material to cover in a book that’s supposed to be only 400 to 500 pages. It’s been a struggle, but at last I’ve got it out of my system, and I want to start by talking here about the reasons for some of the choices I made in writing this book. Finally, I talked Pearson into letting me write it for them.īe careful what you ask for. But I didn’t, although I knew I wanted to. There was no reason I shouldn’t have already written a book about statistical analysis using Excel. Statistical Analysis: Microsoft Excel 2013