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Recommended Titles For Instructors» Basic Statistics


Below is a list of our recommended titles, organized by category. You can download the code and data for these books from the SAS Press Author Pages. Our online bookstore lists all available titles.

 Basic Statistics

These popular SAS titles are a great starting place for anyone interested in teaching or learning more about SAS and basic statistics.

Applied Multivariate Statistics with SAS Software, Second Edition book cover

Applied Multivariate Statistics with SAS Software, Second Edition
By Ravindra Khattree and Dayanand Naik

Real-world problems and data sets provide a unique approach to the topic: integrating statistical methods, data analysis, and applications.

Basic Statistics Using SAS Enterprise Guide: A Primer book cover

Basic Statistics Using SAS Enterprise Guide: A Primer
By Geoff Der and Brian S. Everitt

This example-rich guide shows you how to conduct a wide range of statistical analyses with no SAS programming required.

Cody's Data Cleaning Techniques Using SAS, Second Edition book cover

Cody's Data Cleaning Techniques Using SAS, Second Edition
By Ron Cody

Addresses tasks that nearly every SAS programmer needs to do: make sure that data errors are located and corrected.

Elementary Statistics Using SAS book cover

Elementary Statistics Using SAS
By Sandra Schlotzhauer

Bridging the gap between statistics texts and SAS documentation, this book is written for those who want to perform analyses to solve problems.

Learning SAS by Example: A Programmer's Guide book cover


Learning SAS by Example: A Programmer's Guide
By Ron Cody

If you like learning by example, then this straightforward book makes it easy to learn SAS programming.

The Little SAS Book: A Primer, Fifth Edition book cover


The Little SAS Book: A Primer, Fifth Edition
By Lora Delwiche and Susan Slaughter

Gently introduces you to the most commonly used features of SAS software with clear explanations and examples.

The Little SAS Book for Enterprise Guide 4.2 book cover


The Little SAS Book for Enterprise Guide 4.2
By Susan Slaughter and Lora Delwiche

This guide helps you quickly become familiar with the SAS Enterprise Guide point-and-click environment.

Multiple Imputation of Missing Data Using SASbook cover

Multiple Imputation of Missing Data Using SAS
By Patricia Berglund and Steven Heeringa

Written for users with an intermediate background in SAS programming and statistics, this book is an excellent resource for anyone seeking guidance on multiple imputation. It provides both theoretical background and practical solutions for those working with incomplete data sets in an engaging example-driven format.

PROC REPORT by Example: Techniques for Building Professional Reports Using SASbook cover

PROC REPORT by Example: Techniques for Building Professional Reports Using SAS
By Lisa Fine

Create a wide variety of professional reports with real-world examples. SAS users from all disciplines will gain valuable insight and turn seemingly complex reporting tasks into a matter of practice.

SAS for Linear Models, Fourth Edition book cover

SAS for Linear Models, Fourth Edition
By Ramon C. Littell, Ph.D., Walter W. Stroup, Ph.D., and Rudolf J. Freund, Ph.D.

Uses a tutorial approach and plenty of examples to lead you through methods related to analysis of variance with fixed and random effects.

SAS for Mixed Models, Second Edition book cover

SAS for Mixed Models, Second Edition
By Ramon Littell, George Milliken, Walter Stroup, Russell Wolfinger, and Oliver Schabenberger

Describes the latest capabilities available for a variety of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures

SAS Macro Programming Made Easy, Third Edition book cover

SAS Macro Programming Made Easy, Third Edition
By Michele M. Burlew

A cookbook approach for doing statistics with SAS. Structured specifically around the most commonly used statistical tasks or techniques--for example, comparing two means, ANOVA, and regression--this book provides an easy-to-follow, how-to approach to statistical analysis not found in other books.

SAS Statistics by Example book cover

SAS Statistics by Example
By Ron Cody

Updated for SAS 9.4, this book teaches you the elements of the macro facility, how to write a macro program, techniques for macro programming, tips on using the macro facility, how the macro facility fits into SAS, and about the interfaces between the macro facility and other components of SAS.

SAS System for Regression, Third Edition book cover

SAS System for Regression, Third Edition
By Rudolf J. Freund, Ph.D., and Ramon C. Littell, Ph.D.

An example-driven guide that shows how to perform a wide variety of regression analyses using SAS software.

Simulating Data with SAS book cover

Simulating Data with SAS
By Rick Wicklin

A how-to book for statistical programmers who use SAS software and who want to simulate data efficiently.

Statistical Programming in SAS book cover

Statistical Programming in SAS
By John Bailer

Integrates SAS tools with interesting statistical applications. Uses SAS 9.2 to introduce programming ideas for statistical analysis, data management, and data display and simulation.

A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition book cover

A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition
By Norm O'Rourke, Ph.D. and Larry Hatcher, Ph.D.

Structural equation modeling has become one of the most important statistical procedures in the social and behavioral sciences. This single user-friendly volume, gently guides users through performing some of the most sophisticated data analysis procedures used by researchers today.

A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition book cover

A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition
By Norm O'Rourke, Ph.D., Larry Hatcher, Ph.D., and Edward Stepanski, Ph.D.

Updated for SAS 9, this second edition is an easy-to-understand introduction to SAS as well as to univariate and multivariate statistics.

Teaching Elementary Statistics with JMP book cover

Teaching Elementary Statistics with JMP
By Chris Olsen

Intended for high school and introductory college-level statistics courses, this book demonstrates JMP and offers the latest research on best practices in teaching statistics using JMP.


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