A gentle introduction to statistics using SAS® Studio in the cloud / Ron Cody.

Format:

Book

Author/Creator:

Cody, Ronald P., author.

Language:

English

Subjects (All):

SAS (Computer program language).

Physical Description:

1 online resource (304 pages)

Place of Publication:

Cary, North Carolina : SAS Institute, [2021]

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.

Contents:

Intro

Contents

About this Book

About the Author

Acknowledgments

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

Other Resources.

Notes:

Description based on print version record.

ISBN:

9781954844476

1954844476

9781954844469

1954844468

OCLC:

1250601655