A Gentle Introduction to Statistics Using SAS Studio in the Cloud

Ron Cody

Description

Point and click your way to performing 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.

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.

Sujets

• Informatique
• ANOVA
• P-value
• Analysis of variance
• Analyse de la variance

Informations

• Publié par: SAS Institute
• Date de parution: 07 mai 2021
• Nombre de lectures: 0
• EAN13: 9781954844476
• Langue: English
• Poids de l'ouvrage: 1 Mo

Extrait

The correct bibliographic citation for this manual is as follows: Cody, Ron. 2021. A Gentle Introduction to Statistics Using SAS ® Studio in the Cloud . Cary, NC: SAS Institute Inc.
A Gentle Introduction to Statistics Using SAS ® Studio in the Cloud
Copyright © 2021, SAS Institute Inc., Cary, NC, USA
978-1-954844-49-0 (Hardcover) 978-1-954844-45-2 (Paperback) 978-1-954844-46-9 (Web PDF) 978-1-954844-47-6 (EPUB) 978-1-954844-48-3 (Kindle)
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April 2021
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Contents About this Book About the Author Acknowledgments 1. Descriptive and Inferential Statistics Overview Descriptive Statistics Inferential Statistics Summary of Statistical Terms 2. Study Designs Introduction Double-Blind, Placebo-Controlled Clinical Trials Cohort Studies Case-Control Studies Conclusion 3. What Is SAS OnDemand for Academics? An Overview of SAS OnDemand for Academics (SAS in the Cloud) Registering for ODA Conclusion 4. SAS Studio Tasks Introduction Exploring the SAS Studio Libraries Manipulation How Data Values Are Displayed Exploring SAS Studio Tasks Filtering (Subsetting) Data Listing Your Data Conclusion 5. Importing Data into SAS Introduction Uploading Data from Your Local Computer to SAS Studio Listing the SAS Data Set Importing Data from a CSV File Conclusion 6. Descriptive Statistics – Univariate Analysis Introduction Generating Descriptive Statistics for Continuous Variables Investigating the Distribution of Horsepower Adding a Classification Variable in the Summary Statistics Tab Computing Frequencies for Categorical Variables Creating a Filter Within a Task Creating a Box Plot Conclusion Chapter 6 Exercises 7. One-Sample Tests Introduction Getting an Intuitive Feel for a One-Sample t Test Performing a One-Sample t Test Nonparametric One-Sample Tests Conclusion Chapter 7 Exercises 8. Two-Sample Tests Introduction Getting an Intuitive Feel for a Two-Way t Test Unpaired t Test (t Test for Independent Groups) Describing a Two-Sample t Test Nonparametric Two-Sample Tests Paired t Test Conclusion Chapter 8 Exercises 9. Comparing More Than Two Means (ANOVA) Introduction Getting an Intuitive Feel for a One-Way ANOVA Performing a One-Way Analysis of Variance Performing More Diagnostic Plots Performing a Nonparametric One-Way Test Conclusion Chapter 9 Exercises 10. N-Way ANOVA Introduction Performing a Two-Way Analysis of Variance Reviewing the Diagnostic Plots Interpreting Models with Significant Interactions Investigating the Interaction Conclusion Chapter 10 Exercises 11. Correlation Introduction Using the Statistics Correlation Task Generating Correlation and Scatter Plot Matrices Correlations among Variables in the Fish Data Set Interpreting Correlation Coefficients Generating Spearman Nonparametric Correlations Conclusion Chapter 11 Exercises 12. Simple and Multiple Regression Introduction Getting an Intuitive Feel for Regression Describing Simple Linear Regression Understanding How the F Value Is Computed Investigating the Distribution of the Residuals Measures of Influence Demonstrating Multiple Regression Running a Simple Linear Regression Model with Endurance and Pushups Demonstrating the Effect of Multi-Collinearity Demonstrating Selection Methods Using a Categorical Variable as a Predictor in Model Conclusion Chapter 12 Exercises 13. Binary Logistic Regression Introduction Describing the Risk Data Set Running a Binary Logistic Regression Model with a Single Predictor Variable A Discussion about Odds Ratios Editing SAS Studio-Generated Code Using a Continuous Variable as a Predictor in a Logistic Model Running a Model with Three Classification Variables Conclusion Chapter 13 Exercises 14. Analyzing Categorical Data Introduction Describing the Salary Data Set Computing One-Way Frequencies Creating Formats Producing One-Way Tables with Formats Reviewing Relative Risk, Odds Ratios, and Study Designs Creating Two-Way Tables Using Formats to Reorder the Rows and Columns of a Table Computing Chi-Square from Frequency Data Analyzing Tables with Low Expected Values Conclusion Chapter 14 Exercises 15. Computing Power and Sample Size Introduction Computing Sample Size for a t Test Calculating the Sample Size for a Test of Proportions Computing Sample Size for a One-Way ANOVA Design Conclusion Chapter 15 Exercises 16. Solutions to the Odd-Numbered Exercises Chapter 6 Solutions Chapter 7 Solutions Chapter 8 Solutions Chapter 9 Solutions Chapter 10 Solutions Chapter 11 Solutions Chapter 12 Solutions Chapter 13 Solutions Chapter 14 Solutions Chapter 15 Solutions Other Resources
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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 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.
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 OnDemand for Academics
This book is compatible with SAS Studio and the SAS product called OnDemand for Academics. This is a cloud-based application that is free for anyone wanting to learn how to use SAS, not just college students. Although all the examples in the book were run using SAS OnDemand for Academics, you can run these tasks and programs on other versions of 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.
We Want to Hear from You
SAS Press books are written by SAS Users for SAS Users. We welcome your participation in their development and your feedback on SAS Press books that you are using. Please visit sas.com/books to do the following: Sign up to review a book Recommend a topic Request information on how to become a SAS Press author Provide feedback on a book
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About the Author