SAS Essentials: Mastering SAS for Data Analytics, Second Edition

  • 7h 22m
  • Alan C. Elliott, Wayne A. Woodward
  • John Wiley & Sons (US)
  • 2016

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 covers common SAS procedures and 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, 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.

About the Author

Alan Elliott is the Director of the Statistical Consulting Center at Southern Methodist University within the Department of Statistical Science. Previously he served as a statistical consultant in the Department of Clinical Science at the University of Texas Southwestern Medical Center at Dallas for 30 years. Elliott holds master s degrees in Business Administration (MBA) and Applied Statistics (MAS). He has authored or coauthored over 35 scientific articles and over a dozen books including the Directory of Microcomputer Statistical Software, Microcomputing with Applications", Using Norton Utilities, " SAS Essentials, " Applied Time Series Analysis, "and Statistical Analysis Quick reference Guidebook with SPSS Examples. "Elliott has taught university-level courses in statistics, statistical consulting, and statistical computing for over twenty-five years.

Wayne A. Woodward, Ph.D., is a Professor of Statistics and chair of the Department of Statistical Science at Southern Methodist University. He is a fellow of the American Statistical Association and was the 2004 recipient of the Don Owen award for excellence in research, statistical consulting, and service to the statistical community. In 2007 he received the Outstanding Presentation Award given by the Section on Physical and Engineering Sciences at the 2007 Joint Statistical Meetings in Salt Lake City, Utah. In 2003 he was named a Southern Methodist University Distinguished Teaching Professor by the university s Center for Teaching Excellence, and he received the 2006-2007 Scholar/Teacher of the Year Award at SMU, an award given by the United Methodist Church. . Over the last 35 years he has served as statistical consultant to a wide variety of clients in the scientific community and has taught statistics courses ranging from introductory undergraduate statistics courses to graduate courses within the Ph.D. program in Statistics at Southern Methodist University. He has been funded on numerous research grants and contracts from government and industry to study such issues as global warming and nuclear monitoring. He has authored or coauthored over 70 scientific papers and four books.

In this Book

  • Getting Started
  • Getting Data into SAS®
  • Reading, Writing, and Importing Data
  • Preparing Data for Analysis
  • Preparing to Use SAS® Procedures
  • SAS® Advanced Programming Topics Part 1
  • SAS® Advanced Programming Topics Part 2
  • Controlling Output Using ODS
  • Evaluating Quantitative Data
  • Analyzing Counts and Tables
  • Comparing Means Using T-Tests
  • Correlation and Regression
  • Analysis of Variance
  • Analysis of Variance, Part II
  • Nonparametric Analysis
  • Logistic Regression
  • Factor Analysis
  • Creating Custom Graphs
  • Creating Custom Reports
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