![]() ![]() The book is full of examples demonstrating the use of SAS Studio's easy point-and-click interface accessed with SAS OnDemand for Academics, an online delivery platform for teaching and learning statistical analysis that provides free access to SAS software via the cloud.Īs the title suggests, this book is intended for someone with little or no knowledge of statistics and SAS, but it is also useful for someone with more statistical expertise who might not be familiar with SAS. ![]() Serving as an introduction to many common statistical tests and principles, it explains concepts in an intuitive way with little math and very few formulas. Whether you need to perform statistical analysis for a project or, perhaps, for a course in education, psychology, sociology, economics, or any other field that requires basic statistical skills, this book teaches the fundamentals of statistics, from designing your experiment through calculating logistic regressions. Many people are intimidated by learning statistics, but A Gentle Introduction to Statistics Using SAS Studio in the Cloud is here to help. The remainder of the book describes most of the statistical tests that you will need for an introductory course in statistics. There is one chapter on descriptive statistics, summarizing data both in table and graphical form. Following the introductory chapters are several chapters that show you how to register for SAS OnDemand for Academics, use some of the built-in SAS Studio tasks, how to upload data from your local computer to the SAS cloud, and how to convert data from multiple sources (such as Excel or CSV files) and create SAS data sets. The book starts out with two short, introductory chapters describing statistical analysis (both descriptive and inferential) and experimental design. This book is designed to fulfill two purposes: one is to teach statistical concepts and the other is to show you how to perform statistical analysis using SAS Studio. Название: A Gentle Introduction to Statistics Using SAS Studio in the Cloud ![]()
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