Sas System For Elementary Statistical Analysis
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Sas System For Elementary Statistical Analysis
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Author : Sandra D. Schlotzhauer
language : en
Publisher: SAS Press
Release Date : 1997
Sas System For Elementary Statistical Analysis written by Sandra D. Schlotzhauer and has been published by SAS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.
This updated 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.
Elementary Statistics Using Sas
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Author : Sandra D. Schlotzhauer
language : en
Publisher: SAS Institute
Release Date : 2015-04-17
Elementary Statistics Using Sas written by Sandra D. Schlotzhauer and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-17 with Computers categories.
Bridging the gap between statistics texts and SAS documentation, Elementary Statistics Using SAS is written for those who want to perform analyses to solve problems. The first section of the book explains the basics of SAS data sets and shows how to use SAS for descriptive statistics and graphs. The second section discusses fundamental statistical concepts, including normality and hypothesis testing. The remaining sections of the book show analyses for comparing two groups, comparing multiple groups, fitting regression equations, and exploring contingency tables. For each analysis, author Sandra Schlotzhauer explains assumptions, statistical approach, and SAS methods and syntax, and makes conclusions from the results. Statistical methods covered include two-sample t-tests, paired-difference t-tests, analysis of variance, multiple comparison techniques, regression, regression diagnostics, and chi-square tests. Elementary Statistics Using SAS is a thoroughly revised and updated edition of Ramon Littell and Sandra Schlotzhauer's SAS System for Elementary Statistical Analysis.
Sas System For Regression
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Author : Rudolf Jakob Freund
language : en
Publisher: SAS Press
Release Date : 2000
Sas System For Regression written by Rudolf Jakob Freund and has been published by SAS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computer programs categories.
Learn to perform a wide variety of regression analyses using SAS software with this example-driven revised favorite from SAS Publishing. With this third edition you will learn the basics of performing regression analyses using a wide variety of models including nonlinear models. Other topics include performing linear regression analyses using PROC REG and diagnosing and providing remedies for data problems, including outliers and multicollinearity. Examples feature numerous SAS procedures including REG, PLOT, GPLOT, NLIN, RSREG, AUTOREG, PRINCOMP, and others. A helpful discussion of theory is supplied where necessary. Some knowledge of both regression and SAS are assumed. The updated third edition includes revisions, updated material, and new material. You'll find information on using SAS/INSIGHT software, regression with a binary response with emphasis on PROC LOGISTIC, and nonparametric regression (smoothing) using moving averages and PROC LOESS. Additionally, updated material throughout the book includes high-resolution PROC REG graphics output, data sets by the OUTEST option described and illustrated, and using PROC SCORE to predict another data set.
A Step By Step Approach To Using The Sas System For Univariate And Multivariate Statistics
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Author : Larry Hatcher
language : en
Publisher: Books by Users Press
Release Date : 1994
A Step By Step Approach To Using The Sas System For Univariate And Multivariate Statistics written by Larry Hatcher and has been published by Books by Users Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Mathamatical statistics categories.
Researchers and students of the Social Sciences will find this book a user-friendly introduction to both the SAS System and elementary statistical procedures. Its clear presentation of more advanced statistical procedures makes it an invaluable reference guide for more experienced researchers as well. Step by step, this book guides you through the basic concepts of research and data analysis, to data input, and on to ANOVA and MANOVA. Book jacket.
A Step By Step Approach To Using Sas For Univariate And Multivariate Statistics
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Author : Norm O'Rourke
language : en
Publisher: Wiley-SAS
Release Date : 2005-08-12
A Step By Step Approach To Using Sas For Univariate And Multivariate Statistics written by Norm O'Rourke and has been published by Wiley-SAS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-12 with Mathematics categories.
One in a series of books co-published with SAS, this book provides a user-friendly introduction to both the SAS system and elementary statistical procedures for researchers and students in the Social Sciences. This Second Edition, updated to cover version 9 of the SAS software, guides readers step by step through the basic concepts of research and data analysis, to data input, and on to ANOVA (analysis of variance) and MANOVA (multivariate analysis of variance).
Sas For Data Analysis
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Author : Mervyn G. Marasinghe
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-10
Sas For Data Analysis written by Mervyn G. Marasinghe and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-10 with Mathematics categories.
This book is intended for use as the textbook in a second course in applied statistics that covers topics in multiple regression and analysis of variance at an intermediate level. Generally, students enrolled in such courses are p- marily graduate majors or advanced undergraduate students from a variety of disciplines. These students typically have taken an introductory-level s- tistical methods course that requires the use a software system such as SAS for performing statistical analysis. Thus students are expected to have an - derstanding of basic concepts of statistical inference such as estimation and hypothesis testing. Understandably, adequate time is not available in a ?rst course in stat- tical methods to cover the use of a software system adequately in the amount of time available for instruction. The aim of this book is to teach how to use the SAS system for data analysis. The SAS language is introduced at a level of sophistication not found in most introductory SAS books. Important features such as SAS data step programming, pointers, and line-hold spe- ?ers are described in detail. The powerful graphics support available in SAS is emphasized throughout, and many worked SAS program examples contain graphic components.
Sas Programming For Elementary Statistics
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Author : Carla L. Goad
language : en
Publisher: CRC Press
Release Date : 2020-12-08
Sas Programming For Elementary Statistics written by Carla L. Goad and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-08 with Mathematics categories.
SAS for Elementary Statistics: Getting Started provides an introduction to SAS programming for those who have experience with introductory statistical methods. It is also an excellent programming supplement for an introductory statistics course. It is appropriate for the beginning programmer with no prior SAS experience and the researcher who would like to refresh SAS programming skills. These lessons are those the author has found successful in the classroom. Strengths of this book include the following: Examples are easy to follow and understand. Chapters have user-friendly text and objectives. Each chapter has clear objectives with SAS syntax and output results given. Objectives are stated as tasks with detailed step-by-step instructions. Programming notes based on the author's experience occur throughout the book. The author assists the reader in making sense of the error messages in the SAS log. Brief reviews of statistical methods are included in chapters accompanying the corresponding SAS procedures. Easy transition from user terminology to SAS terminology is provided. The ability to select or suppress results using Output Delivery System (ODS) is made simple. Reading and writing to external files are among the most used SAS skills, and these concepts are clearly presented. The IMPORT and EXPORT procedures and ODS are used to accomplish these tasks. Statistical Graphics procedures and SAS/GRAPH can be quite challenging to learn, but these are presented in a very achievable format. Basic graph construction is first introduced then readers learn how to add color, pattern, and other enhancements to graphics images.
Statistical Data Analysis Using Sas
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Author : Mervyn G. Marasinghe
language : en
Publisher: Springer
Release Date : 2018-04-12
Statistical Data Analysis Using Sas written by Mervyn G. Marasinghe and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-12 with Computers categories.
The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for advanced undergraduate and graduate students in statistics, data science, and disciplines involving analyzing data. The book begins with an introduction beyond the basics of SAS, illustrated with non-trivial, real-world, worked examples. It proceeds to SAS programming and applications, SAS graphics, statistical analysis of regression models, analysis of variance models, analysis of variance with random and mixed effects models, and then takes the discussion beyond regression and analysis of variance to conclude. Pedagogically, the authors introduce theory and methodological basis topic by topic, present a problem as an application, followed by a SAS analysis of the data provided and a discussion of results. The text focuses on applied statistical problems and methods. Key features include: end of chapter exercises, downloadable SAS code and data sets, and advanced material suitable for a second course in applied statistics with every method explained using SAS analysis to illustrate a real-world problem. New to this edition: • Covers SAS v9.2 and incorporates new commands • Uses SAS ODS (output delivery system) for reproduction of tables and graphics output • Presents new commands needed to produce ODS output • All chapters rewritten for clarity • New and updated examples throughout • All SAS outputs are new and updated, including graphics • More exercises and problems • Completely new chapter on analysis of nonlinear and generalized linear models • Completely new appendix Mervyn G. Marasinghe, PhD, is Associate Professor Emeritus of Statistics at Iowa State University, where he has taught courses in statistical methods and statistical computing. Kenneth J. Koehler, PhD, is University Professor of Statistics at Iowa State University, where he teaches courses in statistical methodology at both graduate and undergraduate levels and primarily uses SAS to supplement his teaching.
Categorical Data Analysis Using Sas Third Edition
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Author : Gary G. Koch
language : en
Publisher: Sas Inst
Release Date : 2012
Categorical Data Analysis Using Sas Third Edition written by Gary G. Koch and has been published by Sas Inst this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
Statisticians and researchers will find Categorical Data Analysis Using SAS, Third Edition, by Maura Stokes, Charles Davis, and Gary Koch, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS. Practical examples from a broad range of applications illustrate the use of the FREQ, LOGISTIC, GENMOD, NPAR1WAY, and CATMOD procedures in a variety of analyses. Topics discussed include assessing association in contingency tables and sets of tables, logistic regression and conditional logistic regression, weighted least squares modeling, repeated measurements analyses, loglinear models, generalized estimating equations, and bioassay analysis. The third edition updates the use of SAS/STAT software to SAS/STAT 12.1 and incorporates ODS Graphics. Many additional SAS statements and options are employed, and graphs such as effect plots, odds ratio plots, regression diagnostic plots, and agreement plots are discussed. The material has also been revised and reorganized to reflect the evolution of categorical data analysis strategies. Additional techniques include such topics as exact Poisson regression, partial proportional odds models, Newcombe confidence intervals, incidence density ratios, and so on.SAS Products and Releases: Base SAS: 9.3_M1, 9.3, 9.21_M3, 9.21_M2, 9.21_M1, 9.21, 9.2, 9.1.3, 9.1.2, 9.1, 9.0 SAS/STAT: 9.3_M1, 9.3, 9.22, 9.21_M1, 9.21, 9.2, 9.1.3, 9.1.2, 9.1, 9.0 Operating Systems: All
Foundations Of Statistical Analyses And Applications With Sas
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Author : Michael Falk
language : en
Publisher: Birkhäuser
Release Date : 2012-12-06
Foundations Of Statistical Analyses And Applications With Sas written by Michael Falk and has been published by Birkhäuser this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
This book links up the theory of a selection of statistical procedures used in general practice with their application to real world data sets using the statistical software package SAS (Statistical Analysis System). These applications are intended to illustrate the theory and to provide, simultaneously, the ability to use the knowledge effectively and readily in execution.