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SAS Programming for Elementary Statistics / Carla L. Goad.

By: Material type: TextPublisher: Boca Raton : CRC Press, 2021Edition: First editionDescription: pages cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781138589025
  • 9781138589094
Subject(s): Additional physical formats: Online version:: Sas programming for elementary statistics: getting startedDDC classification:
  • 005.5/5 23
LOC classification:
  • QA276.45.S27 G63 2021
Summary: "This textbook provides an introduction to SAS Programming for elementary statistical methods. It does not require any previous experience of SAS, but the reader is assumed to have a basic understanding of statistics. It covers the basics of programming, including creation of datasets in SAS, debugging a program, and the overall construction of a SAS program. It covers all DATA Step operations, t-tests, confidence intervals, simple linear regression, and ANOVA. The book is full of examples and computer-based exercises, and has been developed from the vast experience of the author teaching from the material over many years"-- Provided by publisher.
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Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
General book Karen QA276.45.S27 G63 2021 (Browse shelf(Opens below)) 1 Available 2022-7371
General book Karen QA276.45.S27 G63 2021 (Browse shelf(Opens below)) 2 Available 2022-7372
General book Karen QA276.45.S27 G63 2021 (Browse shelf(Opens below)) 3 Available 2022-7373

Includes bibliographical references and index.

"This textbook provides an introduction to SAS Programming for elementary statistical methods. It does not require any previous experience of SAS, but the reader is assumed to have a basic understanding of statistics. It covers the basics of programming, including creation of datasets in SAS, debugging a program, and the overall construction of a SAS program. It covers all DATA Step operations, t-tests, confidence intervals, simple linear regression, and ANOVA. The book is full of examples and computer-based exercises, and has been developed from the vast experience of the author teaching from the material over many years"-- Provided by publisher.

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