Titel: Data Analysis with Microsoft Excel?: Updated for Office 2007 (Book Only)
Verlag: Duxbury Press
Erscheinungsjahr: 2009
Sprache: Englisch
ISBN-10: 0495391786
ISBN-13: 9780495391784
Einband: Paperback
Auflage: 3. Auflage
Zustand: New

�ber diesen Titel

Inhaltsangabe

This popular best-selling book shows students and professionals how to do data analysis with Microsoft� Excel. DATA ANALYSIS WITH MICROSOFT EXCEL teaches the fundamental concepts of statistics and how to use Microsoft Excel to solve the kind of data-intensive problems that arise in business and elsewhere. Even students with no previous experience using spreadsheets will find that this text's step-by-step approach, extensive tutorials, and examples make it easy to learn how to use Excel for analyzing data. A downloadable StatPlus' add-in for Microsoft Excel, data sets for exercises, and interactive concept tutorials are available on the Book Companion Website.

�ber die Autorinnen und Autoren

Ken Berk has a BS in Physics from Carnegie Tech (now Carnegie Mellon) and a PhD in Mathematics from Minnesota. He is Professor Emeritus of Mathematics at Illinois State University and a Fellow of the American Statistical Association. He founded the Software Reviews section of The American Statistician and edited it for six years. He served as Secretary/Treasurer, Program Chair, and Chair of the Statistical Computing Section of the American Statistical Association, and he twice co-chaired the Interface Symposium, the main annual meeting in statistical computing. His published work includes papers on time series, statistical computing, regression analysis, and statistical graphics and the book Data Analysis with Microsoft Excel (with Patrick Carey).

Patrick Carey received his M.S. in Biostatistics from the University of Wisconsin, where he worked as a researcher designing and analyzing clinical studies. He co-authored his first textbook on using Excel as a statistical tool. Patrick has authored or co-authored over 20 academic and trade texts for the software industry.

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