SAS Statistical Analysis and Applications

Author: Huang Yan
Publisher:
Publish Date: 2006-01-01
Features: This book focuses on the main statistical analysis functions of the SAS System Software 8.02 version, introducing various commonly used statistical analysis methods in SAS System Software from the perspective of practical applications. Each chapter provides detailed explanations of the usage of corresponding analysis processes in SAS statistical analysis software using a large amount of real experimental data. It offers in-depth interpretations of the statistical output results and the practical significance of statistical quantities for each example, and presents analysis approaches, specific application methods, judgment criteria and selection conditions for statistical quantities, as well as next-step analysis methods and solutions. This book is highly beneficial for beginners and those with limited statistical knowledge.
Key Features of the Book:
- It incorporates the author's years of frontline teaching experience, with content that is ( translates to "close to the readers"), thorough, and practical.
- It provides analysis approaches and solutions with output content, guiding readers to flexibly apply what they have learned and achieve a comprehensive understanding.
- It is rich in examples, introducing statistical analysis methods in a simple and accessible manner, making complex and difficult concepts easier to grasp.
- Each chapter includes corresponding exercises to help readers review and reinforce their learning after completing the relevant content.
- Electronic teaching materials and program source codes are provided for instructors who adopt this book, available for download from the Wharton Press website.
This book is based on SAS System Software 8.02 version. It focuses on statistical analysis methods as the main thread, emphasizing practical applications and introducing various commonly used statistical analysis methods in SAS System Software through a wealth of real experimental data. Each chapter provides detailed explanations of the usage of corresponding statistical analysis processes in SAS software, offering in-depth interpretations of the statistical output results for each example. It particularly provides analysis approaches, specific application methods, judgment criteria and selection conditions for relevant statistical quantities, as well as guidance on next-step analysis methods and solutions.
This book can serve as a textbook for graduate and undergraduate students in universities and colleges, as well as a reference for researchers engaged in data analysis and data management.