Название: A Gentle Introduction to Statistics Using SAS Studio in the CloudАвтор: Ron Cody
Издательство: SAS Institute
Год: 2021
Страниц: 346
Язык: английский
Формат: epub
Размер: 12.7 MB
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. The book starts out with two short, introductory chapters describing statistical analysis (both descriptive and inferential) and experimental design. 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. There is one chapter on descriptive statistics, summarizing data both in table and graphical form. The remainder of the book describes most of the statistical tests that you will need for an introductory course in statistics.
Many people are intimidated by learning statistics, but A Gentle Introduction to Statistics Using SAS Studio in the Cloud is here to help. 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. 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. 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.
As 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. One of the important points for beginners or people with more extensive knowledge of statistics, is a discussion of the assumptions that need to be satisfied for a particular statistical test to be valid. That is especially important because with SAS Studio tasks, anyone can click a mouse and perform very advanced statistical tests.
On many college campuses, students taking statistics courses or any course that needs a powerful analytic tool could access a computer language called R for free. Since free is better than not free, these institutions sometimes choose to use R instead of SAS. That is fine, except that when these students graduate, they find that in the corporate world, SAS is by far the major package for powerful statistical analysis, data manipulation, and reporting. By offering a free version of SAS, users now have a choice between SAS or R, and SAS Institute is hoping that the majority of users choose SAS. The really big news is that anyone can now obtain SAS for FREE! It’s called SAS OnDemand for Academics (ODA)—but don’t be fooled by the name. Anyone can use this free version of SAS, not just students enrolled in a class. The great news about SAS ODA is that you don’t have to download anything! You access SAS on a cloud platform. Also, reading data from your real computer is quite simple.
Topics included in this book are:
How to access SAS OnDemand for Academics
Descriptive statistics
One-sample tests
T tests (for independent or paired samples)
One-way analysis of variance (ANOVA)
N-way ANOVA
Correlation analysis
Simple and multiple linear regression
Binary logistic regression
Categorical data, including two-way tables and chi-square
Power and sample size calculations
Questions are provided to test your knowledge and practice your skills.
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