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Applied statistics and the SAS programming language / Ronald P. Cody, Jeffrey K. Smith.

By: Cody, Ronald PContributor(s): Smith, Jeffrey KMaterial type: TextTextLanguage: English Publication details: Upper Saddle River, N.J. : Pearson Prentice Hall, c2006. Edition: 5th edDescription: xv, 574 p. : ill. ; 24 cmISBN: 0131465325 (pbk.); 9780131465329Subject(s): Mathematical statistics -- Data processingDDC classification: 519.5 LOC classification: QA276.4 | .C53 2006Online resources: WorldCat details
Contents:
TOC A SAS Tutorial -- Describing Data -- Analyzing Categorical Data -- Working with Date and Longitudinal Data -- Correlation and Simple Regression -- T-tests and Nonparametric Comparisons -- Analysis of Variance -- Repeated Measures Designs -- Multiple-Regression Analysis -- Factor Analysis -- Psychometrics -- The SAS INPUT Statement -- External Files: Reading and Writing Raw and System Files -- Data Set Subsetting, Concatenating, Merging, and Updating -- Working with Arrays -- Restructuring SAS Data Sets Using Arrays -- A Review of SAS Functions: Functions Other than Character Functions -- A Review of SAS Functions: Character Functions -- Selected Programming Examples -- Syntax Examples -- Solutions to Odd-Numbered problems.
Summary: Summary: As the SAS[copyright] programming language evolves, this edition follows suit with coverage of this combination statistical package, database management system, and high-level programming language. It is suitable for both students and applied researchers. It also uses examples from business, medicine, education, psychology, and other disciplines.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Text Text Dr. S. R. Lasker Library, EWU
Reserve Section 		Non-fiction 519.5 COA 2006 (Browse shelf(Opens below)) C-1 Not For Loan 25722
Total holds: 0

Includes index.

TOC A SAS Tutorial --
Describing Data --
Analyzing Categorical Data --
Working with Date and Longitudinal Data --
Correlation and Simple Regression --
T-tests and Nonparametric Comparisons --
Analysis of Variance --
Repeated Measures Designs --
Multiple-Regression Analysis --
Factor Analysis --
Psychometrics --
The SAS INPUT Statement --
External Files: Reading and Writing Raw and System Files --
Data Set Subsetting, Concatenating, Merging, and Updating --
Working with Arrays --
Restructuring SAS Data Sets Using Arrays --
A Review of SAS Functions: Functions Other than Character Functions --
A Review of SAS Functions: Character Functions --
Selected Programming Examples --
Syntax Examples --
Solutions to Odd-Numbered problems.

Summary:
As the SAS[copyright] programming language evolves, this edition follows suit with coverage of this combination statistical package, database management system, and high-level programming language. It is suitable for both students and applied researchers. It also uses examples from business, medicine, education, psychology, and other disciplines.

AS

Tahur Ahmed

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