9781642955323-1642955329-A Gentle Introduction to Statistics Using SAS Studio

A Gentle Introduction to Statistics Using SAS Studio

ISBN-13: 9781642955323
ISBN-10: 1642955329
Author: Ron Cody
Publication date: 2019
Publisher: SAS Institute
Format: Paperback 236 pages
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Book details

ISBN-13: 9781642955323
ISBN-10: 1642955329
Author: Ron Cody
Publication date: 2019
Publisher: SAS Institute
Format: Paperback 236 pages

Summary

A Gentle Introduction to Statistics Using SAS Studio (ISBN-13: 9781642955323 and ISBN-10: 1642955329), written by authors Ron Cody, was published by SAS Institute in 2019. With an overall rating of 4.0 stars, it's a notable title among other Mathematical & Statistical (Software) books. You can easily purchase or rent A Gentle Introduction to Statistics Using SAS Studio (Paperback) from BooksRun, along with many other new and used Mathematical & Statistical books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.48.

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 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 a non-technical way with little math and very few formulas. Once the basic statistical concepts are covered, the book then demonstrates how to use them with SAS Studio and SAS University Edition’s easy point-and-click interface.

Topics included in this book are:

  • How to install and use SAS University Edition
  • 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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