Ron Cody

A Gentle Introduction to Statistics Using SAS Studio


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      The correct bibliographic citation for this manual is as follows: Cody, Ron. 2019. A Gentle Introduction to Statistics Using SAS® Studio. Cary, NC: SAS Institute Inc.

      A Gentle Introduction to Statistics Using SAS® Studio

      Copyright © 2019, SAS Institute Inc., Cary, NC, USA

      ISBN 978-1-64295-541-5 (Hardcover)

      ISBN 978-1-64295-532-3 (Paperback)

      ISBN 978-1-64295-533-0 (Web PDF)

      ISBN 978-1-64295-534-7 (EPUB)

      ISBN 978-1-64295-535-4 (Kindle)

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      October 2019

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      About This Book

      What Does This Book Cover?

      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 download and install SAS University Edition (along with SAS Studio) and how to navigate your way around SAS Studio tasks. 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.

      Is This Book for You?

      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.

      What Should You Know about the Examples?

      Because you can download all of the programs and data sets used in this book from the SAS website, you can run any or all of the programs yourself to better understand how perform them.

      Example Code and Data

      You can access the example code and data for this book by linking to its author page at https://support.sas.com/cody.

      SAS University Edition

      Figure 1.1 Some JMP Help Options This book is compatible with SAS University Edition. Although all the examples in the book were run using SAS University Edition, you can use SAS On Demand for Academics or SAS Studio.

      Where Are the Exercise Solutions?

      Solutions to all the odd-numbered exercises are included at the end of the book. For those individuals who are not students, are working on their own, or are faculty members, please contact SAS Press for solutions to all of the exercises.

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      About The Author

Figure 1.1 Some JMP Help Options

      Ron Cody, EdD, is a retired professor from the Rutgers Robert Wood Johnson Medical School who now works as a national instructor for SAS and as an author of books on SAS and statistics. A SAS user since 1977, Ron’s extensive knowledge and innovative style have made him a popular presenter at local, regional, and national SAS conferences. He has authored or co-authored numerous books, as well as countless articles in medical and scientific journals.

      Learn more about this author by visiting his author page at http://support.sas.com/cody. There you can download free book excerpts, access example code and data, read the latest reviews, get updates, and more.

      Acknowledgments

      There is only one name on the cover of this book—mine. However, that doesn’t mean I am the only person who put in long hours creating this book.

      First, I would like to thank and acknowledge the fantastic work of Lauree Shepard, my acquisitions and developmental editor. Lauree provided technical support, coordinated the team of editors, the reviewers, cover artist, and most importantly, provided psychological