SAS Essentials: Mastering SAS for Data Analytics, 2nd Edition


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A 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: Mastering SAS for Data Analytics, Second Edition 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 20 years of teaching introductory SAS courses.

Divided into two sections, the first part of the book provides an introduction to data manipulation, statistical techniques, and the SAS programming language. The second section is designed to introduce users to statistical analysis using SAS Procedures. Featuring self-contained chapters to enhance the learning process, the Second Edition also includes:

  • Programming approaches for the most up-to-date version of the SAS platform including information on how to use the SAS University Edition
  • Discussions to illustrate the concepts and highlight key fundamental computational skills that are utilized by business, government, and organizations alike
  • New chapters on reporting results in tables and factor analysis
  • Additional information on the DATA step for data management with an emphasis on importing data from other sources, combining data sets, and data cleaning
  • Updated ANOVA and regression examples as well as other data analysis techniques
  • A companion website with the discussed data sets, additional code, and related PowerPoint slides

SAS Essentials: Mastering SAS for Data Analytics, Second Edition is an ideal textbook for upper-undergraduate and graduate-level courses in statistics, data analytics, applied SAS programming, and statistical computer applications as well as an excellent supplement for statistical methodology courses. The book is an appropriate reference for researchers and academicians who require a basic introduction to SAS for statistical analysis and for preparation for the Basic SAS Certification Exam.


Preface vii

Acknowledgements ix

Part I Data Manipulation and the SAS® Programming Language 1

1 Getting Started 3

2 Getting Data into SAS 19

3 Reading, Writing, and Importing Data 50

4 Preparing Data for Analysis 75

5 Preparing to Use SAS Procedures 112

6 SAS Advanced Programming Topics Part 1 134

7 SAS Advanced Programming Topics Part 2 163

8 Controlling Output Using ODS 193

Part II Statistical Analysis Using SAS Procedures 213

9 Evaluating Quantitative Data 215

10 Analyzing Counts and Tables 243

11 Comparing Means Using T-Tests 270

12 Correlation and Regression 283

13 Analysis of Variance 311

14 Analysis of Variance, Part II 327

15 Nonparametric Analysis 347

16 Logistic Regression 360

17 Factor Analysis 377

18 Creating Custom Graphs 393

19 Creating Custom Reports 431

Appendix A Options Reference 462

Appendix B SAS Function Reference 472

Appendix C Choosing a SAS Procedure 491

Appendix D Quick Reference 494

Appendix E Using SAS University Edition with SAS Essentials 501

References 508

Index 511

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Published features on are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.