Applied Statistics and the SAS Programming Language
5th Edition
Published on 26. May 2005
Book
Paperback/Softback
600 pages
978-0-13-146532-9 (ISBN)
Description
Suitable for use by departments ranging from statistics and Engineering to Psychology and Education when the objective of the course is to learn to use the SAS programming language to perform statistical analysis.
As the SAS (c) programming language continues to evolve, this new edition follows suit with up-to-date coverage of this combination statistical package, database management system, and high-level programming language. Using examples from business, medicine, education, psychology, and other disciplines, Applied Statistics and the SAS Programming Language is an invaluable resource for both students and applied researchers, giving them the capacity to perform statistical analyses with SAS without wading through pages of technical documentation.
As the SAS (c) programming language continues to evolve, this new edition follows suit with up-to-date coverage of this combination statistical package, database management system, and high-level programming language. Using examples from business, medicine, education, psychology, and other disciplines, Applied Statistics and the SAS Programming Language is an invaluable resource for both students and applied researchers, giving them the capacity to perform statistical analyses with SAS without wading through pages of technical documentation.
More details
Other editions
Previous edition
Ronald P. Cody | Jeffrey K. Smith
Applied Statistics and the SAS Programming Language
Book
02/1998
4th Edition
Pearson
€45.79
Article exhausted; check for reprint
Content
Note: All chapters open with an Introduction.
Chapter 1: A SAS Tutorial
Chapter 2: Describing Data
Chapter 3: Analyzing Categorical Data
Chapter 4: Working with Date and Longitudinal Data
Chapter 5: Correlation and Simple Regression
Chapter 6: T-tests and Nonparametric Comparisons
Chapter 7: Analysis of Variance
Chapter 8: Repeated Measures Designs
Chapter 9: Multiple Regression Analysis
Chapter 10: Factor Analysis
Chapter 11: Psychometrics
Chapter 12: The SAS INPUT Statement
Chapter 13: External Files: Reading and Writing Raw and System Files
Chapter 14: Data Set Subsetting, Concatenating, Merging, and Updating
Chapter 15: Working with Arrays
Chapter 16: Restructuring SAS Data Sets Using Arrays
Chapter 17: A Review of SAS Functions
Chapter 18: A Review of SAS Functions
Chapter 19: Selected Programming Examples
Chapter 20: Syntax Examples
Chapter 1: A SAS Tutorial
Chapter 2: Describing Data
Chapter 3: Analyzing Categorical Data
Chapter 4: Working with Date and Longitudinal Data
Chapter 5: Correlation and Simple Regression
Chapter 6: T-tests and Nonparametric Comparisons
Chapter 7: Analysis of Variance
Chapter 8: Repeated Measures Designs
Chapter 9: Multiple Regression Analysis
Chapter 10: Factor Analysis
Chapter 11: Psychometrics
Chapter 12: The SAS INPUT Statement
Chapter 13: External Files: Reading and Writing Raw and System Files
Chapter 14: Data Set Subsetting, Concatenating, Merging, and Updating
Chapter 15: Working with Arrays
Chapter 16: Restructuring SAS Data Sets Using Arrays
Chapter 17: A Review of SAS Functions
Chapter 18: A Review of SAS Functions
Chapter 19: Selected Programming Examples
Chapter 20: Syntax Examples