SAS ESSENTIALS Valuable step-by-step introduction to using SAS® statistical software as a foundational approach to data analysis and interpretation
Presenting a straightforward introduction from the ground up, SAS® Essentials illustrates SAS using hands-on learning techniques and numerous real-world examples; keeping different experience levels in mind, the highly qualified author team has developed the book over 25 years of teaching introductory SAS courses.
This book introduces data manipulation, statistical techniques, and the SAS programming language, including SAS macros, reporting results in tables, and factor analysis, as well as sections on character functions, variable manipulation, and merging, appending, and updating files. It features self-contained chapters to enhance the learning process and includes programming approaches for the latest version of the SAS platform.
The Third Edition has been updated with expanded examples, a new chapter introducing PROC SQL as well as new end-of-chapter exercises. The Third Edition also includes a companion website with data sets, additional code, notes on SAS programming, functions, ODS, PROC SQL, and SAS Arrays, along with solutions for instructors.
Specific sample topics covered in SAS® Essentials include:
Getting data into SAS, reading, writing, and importing data, preparing data for analysis, preparing to use SAS procedures, and controlling output using ODS
Techniques for creating, editing, and debugging SAS programs, cleaning up messy data sets, and manipulating data using character, time, and numeric functions
Other essential computational skills that are utilized by business, government, and organizations alike, and DATA step for data management
Using PROC to analyze data, including evaluating quantitative data, analyzing counts and tables, comparing means using T-Tests, correlation and regression, and analysis of variance, nonparametric analysis, logistic regression, factor analysis, and creating custom graphs and reports.
SAS® Essentials is a fundamental study resource for professionals preparing for the SAS Base Certification Exam, as well as an ideal textbook for courses in statistics, data analytics, applied SAS programming, and statistical computer applications.
By:
Alan C. Elliott,
Wayne A. Woodward
Imprint: John Wiley & Sons Inc
Country of Publication: United States
Edition: 3rd edition
Dimensions:
Height: 249mm,
Width: 175mm,
Spine: 38mm
Weight: 816g
ISBN: 9781119901617
ISBN 10: 1119901618
Pages: 496
Publication Date: 13 January 2023
Audience:
Professional and scholarly
,
Undergraduate
Format: Paperback
Publisher's Status: Active
Preface vii Acknowledgements ix PART I DATA MANIPULATION AND THE SAS® PROGRAMMING LANGUAGE 1 1 Getting Started 2 Getting Data into SAS 3 Reading, Writing, and Importing Data 4 Preparing Data for Analysis 5 Preparing to Use SAS Procedures 6 SAS Advanced Programming Topics Part 1 7 SAS Advanced Programming Topics Part 2 8 Controlling Output Using ODS 9 Introduction to PROC SQL PART II STATISTICAL ANALYSIS USING SAS PROCEDURES 10 Evaluating Quantitative Data 11 Analyzing Counts and Tables 12 Comparing Means Using T-Tests 13 Correlation and Regression 14 Analysis of Variance 15 Analysis of Variance, Part II 16 Nonparametric Analysis 17 Logistic Regression 18 Factor Analysis 19 Creating Custom Graphs 20 Creating Custom Reports Appendix A Options Reference Appendix B SAS Function Reference Appendix C Choosing a SAS Procedure Appendix D Quick Reference Appendix E USING SAS® OnDemand for Academics Appendix F Base Programming Practice Test References Index
Alan C. Elliott, MAS, MBA is a prolific writer and author or co-author of multiple books on data analytics and computer programs. He taught SAS programming at the university level for over 25 years. Wayne A. Woodward, PhD, is Professor Emeritus of Statistical Science at Southern Methodist University. He has received SMU’s highest recognitions for teaching and research, including the Altshuler Distinguished Teaching Professor and the United Methodist Church Scholar Teacher of the Year awards.
