Essential statistics using SAS university edition
(eBook)
Author
Contributors
Everitt, Brian, author.
Published
Cary, NC : SAS Institute, 2015.
Format
eBook
ISBN
1629598437, 1629600946, 9781629598437, 9781629600949
Physical Desc
1 online resource (1 volume) : illustrations
Status
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Language
English
Notes
Bibliography
Includes bibliographical references and index.
Description
Students and instructors of statistics courses using SAS University Edition will welcome this book. Learning fundamental statistics is essential to solving problems with SAS. Essential Statistics Using SAS University Edition demonstrates how to use SAS University Edition to apply a variety of statistical methodologies, from the simple to the not-so-simple, to a range of data sets. Learn how to apply the appropriate statistical method to answer a particular question about a data set, and correctly interpret the numerical results that you obtain. SAS University Edition users who are new to SAS or who need a refresher course will benefit from the statistics overview and topics, such as multiple linear regression, logistic regression, and Poisson regression.
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Citations
APA Citation, 7th Edition (style guide)
Der, G., & Everitt, B. (2015). Essential statistics using SAS university edition . SAS Institute.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Der, Geoff and Brian, Everitt. 2015. Essential Statistics Using SAS University Edition. SAS Institute.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Der, Geoff and Brian, Everitt. Essential Statistics Using SAS University Edition SAS Institute, 2015.
MLA Citation, 9th Edition (style guide)Der, Geoff,, and Brian Everitt. Essential Statistics Using SAS University Edition SAS Institute, 2015.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
ba210af6-ddb2-9ee9-ebc2-aecf0717db83-eng
Grouping Information
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Last Update | 2024-09-06 16:31:08PM |
Last Indexed | 2024-09-14 03:57:48AM |
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