A gentle introduction to statistics using SASʼ Studio in the cloud, Ron Cody
Type
Label
A gentle introduction to statistics using SASʼ Studio in the cloud, Ron Cody
Language
eng
Illustrations
illustrations
Index
no index present
Literary Form
non fiction
Main title
A gentle introduction to statistics using SASʼ Studio in the cloud
Nature of contents
dictionaries
Oclc number
11250601655
Responsibility statement
Ron Cody
Summary
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
Descriptive and inferential statistics -- Study designs -- What is SAS OnDemand for academics? -- SAS Studio tasks -- Importing data into SAS -- Descriptive statistics : univariate analysis -- One-sample tests -- Two-sample tests -- Comparing more than two means (ANOVA) -- N-Way ANOVA -- Correlation -- Simple and multiple regression -- Binary logistic regression -- Analyzing categorical data -- Computing power and sample size -- Solutions to the Odd-Numbered exercises
Creator
Subject
Mapped to
Incoming Resources
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