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Synopsis
This book makes it easy to crunch numbers and interpret statistics with Excel, even for the math–challenged Using plain English and real–life examples, the author provides information that will help readers improve their performance on the job or in the classroom Covers formulas and functions, charts and PivotTables, samples and normal distributions, probabilities and related distributions, trends and correlations, as well as statistical terms like median vs. mean, margin of error, standard deviation, permutations, and correlations–all using Excel
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About the Author
A veteran of over twenty years in Information Technology, Joseph Schmuller is a Technical Architect at Blue Cross–Blue Shield of Florida. He is the author of several books on computing, including the three editions of Teach Yourself UML in 24 Hours (SAMS), and he has written numerous articles on advanced technology. From 1991 through 1997, he was Editor–in–Chief of PC AI magazine. He is a former member of the American Statistical Association, and he has taught statistics at the undergraduate and graduate levels. He holds a B.S. from Brooklyn College, an M.A. from the University of Missouri–Kansas City, and a Ph.D. from the University of Wisconsin. He and his family live in Jacksonville, Florida, where he is an Adjunct Professor at the University of North Florida.
From the Back Cover
Create graphs, develop estimates, and apply probability Get the scoop on all of Excel′s statistical tools and what they can do for you If "permutation" sounds like something you shouldn′t say around your grandmother and you read "margin of error" as "margin of terror," take heart! This easy–to–follow guide explains statistics in plain English and shows you how to use Excel charts, functions, samples, and correlations to make sense of it all even if you′re numerically challenged! Discover how to Understand means, medians, and standard deviations Use Excel to give meaning to sets of numbers Draw conclusions from data Test your hypotheses Apply statistical concepts to real–world situations
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