9781954844452-195484445X-A Gentle Introduction to Statistics Using SAS® Studio in the Cloud

A Gentle Introduction to Statistics Using SAS® Studio in the Cloud

ISBN-13: 9781954844452
ISBN-10: 195484445X
Author: Ron Cody EdD
Publication date: 2021
Publisher: SAS Institute
Format: Paperback 304 pages
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ISBN-13: 9781954844452
ISBN-10: 195484445X
Author: Ron Cody EdD
Publication date: 2021
Publisher: SAS Institute
Format: Paperback 304 pages

Summary

A Gentle Introduction to Statistics Using SAS® Studio in the Cloud (ISBN-13: 9781954844452 and ISBN-10: 195484445X), written by authors Ron Cody EdD, was published by SAS Institute in 2021. With an overall rating of 4.5 stars, it's a notable title among other Programming (Programming Languages) books. You can easily purchase or rent A Gentle Introduction to Statistics Using SAS® Studio in the Cloud (Paperback) from BooksRun, along with many other new and used Programming books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $13.12.

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.

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