Sandra Schlotzhauer and Ramon Littell's SAS System for Elementary Statistical Analysis, Second Edition, shows how to use SAS to perform basic statistical analysis. General topics include creating a data set with SAS; summarizing data with descriptive statistics, frequency tables, and bar charts; comparing groups (t-tests, one-way ANOVA, and nonparametric analogues); performing basic linear regression (lines, curves, and two-variable models); performing simple regression diagnostics (residuals plots, studentized residuals); and creating and analyzing tables of data. Using real-life examples, this beginner's guide bridges the gap between statistics texts and SAS documentation.
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Book Description
Editorial Reviews
About the Author
Sandra D. Schlotzhauer
Sandra D. Schlotzhauer provides consulting and training services with an emphasis on the pharmaceutical industry. She started Schlotzhauer Consulting after nine years at SAS Institute, where she worked in software development, course design, and documentation. Prior to working for SAS Institute, she was a statistician in industry for several years. Her activities include project management of electronic submissions for new drugs; building custom courses in JMP, SAS/INSIGHT, SAS/QC, and SAS/PH-Clinical software; and consulting on the implementation of software standards for SAS programming environments. Sandra has B.S. and M.S. degrees in statistics from the University of Florida and has used SAS software since 1979.
Sandra D. Schlotzhauer provides consulting and training services with an emphasis on the pharmaceutical industry. She started Schlotzhauer Consulting after nine years at SAS Institute, where she worked in software development, course design, and documentation. Prior to working for SAS Institute, she was a statistician in industry for several years. Her activities include project management of electronic submissions for new drugs; building custom courses in JMP, SAS/INSIGHT, SAS/QC, and SAS/PH-Clinical software; and consulting on the implementation of software standards for SAS programming environments. Sandra has B.S. and M.S. degrees in statistics from the University of Florida and has used SAS software since 1979.
Ramon C. Littell, Ph.D.
Ramon C. Littell, Ph.D., is a professor of statistics at the University of Florida, where he teaches several courses in statistics and a course in data analysis using SAS software. Dr. Littell is a former SUGI chair and was closely associated with the Southern Regional Project that funded development of SAS software at North Carolina State University. He is also a co-author of the SAS System for Linear Models, Third Edition; SAS System for Regression, Second Edition; and SAS System for Mixed Models. Dr. Littell has M.S. and Ph.D. degrees from Oklahoma State University and is a Fellow of the American Statistical Association. He has used SAS software since the mid-1970s.
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Most Helpful Customer Reviews
13 of 14 people found the following review helpful:
5.0 out of 5 stars
A good start for Non-Statisticians.,
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This review is from: SAS System for Elementary Statistical Analysis, Second Edition (Paperback)
For the ones who don't like Statistics it's a good book to start with something apparently confusing. Actually, Statistics is dismistified in this book. In the first part of the book it's given a introduction about the basic things that SAS can do as a statistical program. The second part of the book is dedicated to the Statistics accompanied with the SAS language, once given in the first part. Good real examples give exactly the notion what SAS can do about a Statistical Analysis. It's also a very good book for the ones who aren't good in English, as myself (i'm brazillian). If you are planning to study Statistics with some computational help try to start with this book.Gustavo Tavares If you want this review translated to Portuguese send me a request.
7 of 7 people found the following review helpful:
5.0 out of 5 stars
Great for Learning SAS and Statistics.,
By
This review is from: SAS System for Elementary Statistical Analysis, Second Edition (Paperback)
I am in the second semester of a two semester design of experiments sequence and I have just started using this book. It's been very helpful. At the moment I am using chapter 9 to help me with the Multiple Regression homework.
It helps out in two ways, it has nice, readable instructions on SAS, using relevent, but not overly complex examples, and the way it covers Statistics, using those examples, makes the concepts significantly easier for me to grasp than the Stats textbook we are using. Plus, unlike the textbook, it's short and it makes it easy to get the big ideas quickly. Not to mention the textbook doesn't help you with SAS at all (well, not practically). Very highly recommended for people interested in learning both SAS and Statistical Analysis.
3 of 4 people found the following review helpful:
5.0 out of 5 stars
A SAS Must!,
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This review is from: SAS System for Elementary Statistical Analysis, Second Edition (Paperback)
This book seems to be just what I need in an introductory SAS programming class. It is simple to read and helps me more than the teacher does!
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Inside This Book
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First Sentence:
This book shows how to use SAS software to perform basic statistical analysis and explains the statistical methods usedwhen to use them, what the assumptions are, and how to interpret the results. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
display manager mode, proc insight, teacher salary data, body fat data, print cli, speeding ticket amounts, reference probability value, death penalty data, ticket data, falcon data, proc gchart, proc anova, interactive line mode, data tickets, proc univariate, proc chart, proc format, comparisonwise error rate, proc freq, proc reg, proc means, proc ttest, prediction limits, tickets data, var amount Key Phrases - Capitalized Phrases (CAPs): (learn more)
Model Relating, Further Reading, New York, First Edition, Key Ideas, Empirical Rule, Std Dev, Wilcoxon Signed Rank, Wilcoxon Rank Sum, John Wiley, Mean Square, Advanced Topics, Std Mean, Sum Wgts, Third Edition, North Dakota, Predicted Resid, Analysis Variable, Dep Var Predict Std Err, Institute Inc, New Hampshire, New Jersey, New Mexico, North Carolina, Rhode Island New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
This book shows how to use SAS software to perform basic statistical analysis and explains the statistical methods usedwhen to use them, what the assumptions are, and how to interpret the results. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
display manager mode, proc insight, teacher salary data, body fat data, print cli, speeding ticket amounts, reference probability value, death penalty data, ticket data, falcon data, proc gchart, proc anova, interactive line mode, data tickets, proc univariate, proc chart, proc format, comparisonwise error rate, proc freq, proc reg, proc means, proc ttest, prediction limits, tickets data, var amount Key Phrases - Capitalized Phrases (CAPs): (learn more)
Model Relating, Further Reading, New York, First Edition, Key Ideas, Empirical Rule, Std Dev, Wilcoxon Signed Rank, Wilcoxon Rank Sum, John Wiley, Mean Square, Advanced Topics, Std Mean, Sum Wgts, Third Edition, North Dakota, Predicted Resid, Analysis Variable, Dep Var Predict Std Err, Institute Inc, New Hampshire, New Jersey, New Mexico, North Carolina, Rhode Island New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 40
books:
See all 40 books this book cites
- Analysis of Ordinal Categorical Data (Wiley Series in Probability and Statistics) by Alan Agresti on page 375, and Back Matter
- Cartoon Guide to Statistics by Larry Gonick on page 123, and Back Matter
- Categorical Data by Koch in Back Matter (1), and Back Matter (2)
- Applied Regression Analysis (Wiley Series in Probability and Statistics) by Norman R. Draper on page 333, and page 365
- Practical Nonparametric Statistics (Wiley Series in Probability and Statistics) by W. J. Conover on page 228, and page 276
See all 40 books this book cites
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