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(Ebook) Applied Statistics and the SAS Programming Language 5th edition by Ron Cody, Jeffrey Smith 0131465325 9780131465329

  • SKU: EBN-7157974
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Authors:Ron P. Cody, Jeffrey K. Smith
Pages:595 pages.
Year:2006
Editon:5
Publisher:Prentice Hall
Language:english
File Size:66.99 MB
Format:pdf
ISBNS:0131465325
Categories: Ebooks

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(Ebook) Applied Statistics and the SAS Programming Language 5th edition by Ron Cody, Jeffrey Smith 0131465325 9780131465329

Applied Statistics and the SAS Programming Language 5th edition by Ron P. Cody, Jeffrey K. Smith - Ebook PDF Instant Download/DeliveryISBN: 0131465325, 9780131465329

Full download Applied Statistics and the SAS Programming Language 5th edition after payment.



Product details:

ISBN-10 ‏ : ‎ 0131465325

ISBN-13 ‏ : ‎ 978-0131465329

Author:   Ron P. Cody, Jeffrey K. Smith

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© 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.

 

Applied Statistics and the SAS Programming Language 5th Table of contents:

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

 

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Tags: Applied Statistics, the SAS, Programming Language, Ron Cody, Jeffrey Smith

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