Discover how easy it is to perform statistical analysis using the power of SAS Enterprise Guide. Suitable for students new to statistics and to SAS, as well as for experienced professionals, James Davis's Statistics Using SAS Enterprise Guide provides an introduction to the basics of SAS Enterprise Guide and to statistics.
Early chapters in this easy-to-follow book address topics such as how to work with data sets (including SAS data sets, data sets in Microsoft Excel, and other formats) and how to perform queries. A separate chapter on descriptive statistics offers a wide range of techniques and multiple presentation options. Later chapters provide detailed discussions (without calculus) of statistical theory and step-by-step examples that illustrate how to apply the appropriate SAS Enterprise Guide tasks, including both complete output and thorough analyses of the results. These chapters present examples of one-sample inference, two-sample inference, analysis of variance, correlation and regression, and table analysis.
This book is part of the SAS Press program.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Discover how easy it is to perform statistical analysis using the power of SAS Enterprise Guide. Suitable for students new to statistics and to SAS, as well as for experienced professionals, James Davis's Statistics Using SAS Enterprise Guide provides an introduction to the basics of SAS Enterprise Guide and to statistics.
Early chapters in this easy-to-follow book address topics such as how to work with data sets (including SAS data sets, data sets in Microsoft Excel, and other formats) and how to perform queries. A separate chapter on descriptive statistics offers a wide range of techniques and multiple presentation options. Later chapters provide detailed discussions (without calculus) of statistical theory and step-by-step examples that illustrate how to apply the appropriate SAS Enterprise Guide tasks, including both complete output and thorough analyses of the results. These chapters present examples of one-sample inference, two-sample inference, analysis of variance, correlation and regression, and table analysis.
This book is part of the SAS Press program.
James B. Davis, Ph.D., is a professor of statistics who is actively committed to bringing technology to the classroom. A SAS user since 1989, Dr. Davis has extensive experience working with Base SAS code, SAS/ASSIST software, the Analyst Application, and SAS Enterprise Guide software. The author of numerous articles and publications, he has also taught several professional workshops and frequently consults on faculty and student research. Dr. Davis received his M.A. in Mathematics and his Ph.D. in Statistics from Western Michigan University. He has been teaching since 1986.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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