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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.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Table Of Contents
  5. About this Book
  6. About the Author
  7. Acknowledgments
  8. Descriptive and Inferential Statistics
  9. Study Designs
  10. What Is SAS OnDemand for Academics?
  11. SAS Studio Tasks
  12. Importing Data into SAS
  13. Descriptive Statistics – Univariate Analysis
  14. One-Sample Tests
  15. Two-Sample Tests
  16. Comparing More Than Two Means (ANOVA)
  17. N-Way ANOVA
  18. Correlation
  19. Simple and Multiple Regression
  20. Binary Logistic Regression
  21. Analyzing Categorical Data
  22. Computing Power and Sample Size
  23. Solutions to the Odd-Numbered Exercises
  24. Other Resources
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