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

By: Contributor(s): Material type: TextTextPublication details: Upper Saddle River, N.J. : Pearson Prentice Hall, c2006.Edition: 5th edDescription: xv, 574 p. : ill. ; 24 cmISBN:
  • 0131465325 (pbk.)
Subject(s): LOC classification:
  • QA276.4 .C53 2006
Contents:
A SAS tutorial -- Describing data -- Analyzing categorical data -- Working with date and longitudinal data -- Correlation and simple regression -- T-test and non parametric 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 -- Selected programming examples -- Syntax examples.
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Holdings
Item type Current library Collection Call number Copy number Status Barcode
Books Books Zetech Library - Ruiru Campus General Stacks Non-fiction QA276.4 .C53 2006 (Browse shelf(Opens below)) C. 1 Available Z009248
Browsing Zetech Library - Ruiru Campus shelves, Shelving location: General Stacks, Collection: Non-fiction Close shelf browser (Hides shelf browser)
QA276.12.S26 1995 Statistics : a first course / QA276.2.S65 1998 Schaum's outline of theory and problems of Statistics / QA276.4 .B76 2023 An introduction to R and Python for data analysis : a side by side approach / QA276.4 .C53 2006 Applied statistics and the SAS programming language / QA 276.4 .H23 1991 Statistics / QA 276.4 .H23 1991 Statistics / QA 276.4 .S23 1994 SAS language:

Includes index.

A SAS tutorial -- Describing data -- Analyzing categorical data -- Working with date and longitudinal data -- Correlation and simple regression -- T-test and non parametric 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 -- Selected programming examples -- Syntax examples.

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