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Exploratory Data Analysis: An Introduction to Data Analysis Using SAS

Author : Patricia Cerrito

Publisher : Lulu.com

Page : 271 pages

File Size : 35,65 MB

Release : 2007-12-01

Category : Science

ISBN : 1435705424

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Book Description

This is an introductory text on how to investigate datasets. It is intended to be a practical text for those who need to research large datasets. Therefore, it does not follow the standard contents for more typical introductory statistics textbooks. When you complete the material, you will be able to work with your data using data visualization and regression in order to make sense of it, and to use your findings to make decisions. The book makes use of the statistical software, SAS, and its menu system SAS Enterprise Guide. This can be used as a stand alone text, or as a supplementary text to a more standard course. There are some datasets to accompany this text. ID# 1640751, Data for Exploratory Data Analysis.



Statistical Data Analysis Using SAS

Author : Mervyn G. Marasinghe

Publisher : Springer

Page : 688 pages

File Size : 45,74 MB

Release : 2018-04-12

Category : Computers

ISBN : 3319692399

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Book Description

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.



Data Analysis Using SAS

Author : C.Y. Joanne Peng

Publisher : SAGE Publications

Page : 641 pages

File Size : 12,75 MB

Release : 2008-08-28

Category : Education

ISBN : 1452211868

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Book Description

Data Analysis Using SAS offers a comprehensive core text focused on key concepts and techniques in quantitative data analysis using the most current SAS commands and programming language. The coverage of the text is more evenly balanced among statistical analysis, SAS programming, and data/file management than any available text on the market. It provides students with a hands-on, exercise-heavy method for learning basic to intermediate SAS commands while understanding how to apply statistics and reasoning to real-world problems. Designed to be used in order of teaching preference by instructor, the book is comprised of two primary sections: the first half of the text instructs students in techniques for data and file managements such as concatenating and merging files, conditional or repetitive processing of variables, and observations. The second half of the text goes into great depth on the most common statistical techniques and concepts - descriptive statistics, correlation, analysis of variance, and regression - used to analyze data in the social, behavioral, and health sciences using SAS commands. A student study at www.sagepub.com/pengstudy comes replete with a multitude of computer programs, their output, specific details on how to check assumptions, as well as all data sets used in the book. Data Analysis Using SAS is a complete resource for Data Analysis I and II, Statistics I and II, Quantitative Reasoning, and SAS Programming courses across the social and behavioral sciences and health - especially those that carry a lab component.



A Gentle Introduction to Statistics Using SAS Studio in the Cloud

Author : Ron Cody

Publisher : SAS Institute

Page : 324 pages

File Size : 46,45 MB

Release : 2021-05-07

Category : Computers

ISBN : 1954844476

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Book 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.



SAS for Data Analysis

Author : Mervyn G. Marasinghe

Publisher : Springer Science & Business Media

Page : 562 pages

File Size : 26,44 MB

Release : 2008-12-10

Category : Mathematics

ISBN : 038777372X

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Book Description

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.



Data Analytics with SAS

Author : Nishant Sidana

Publisher : BPB Publications

Page : 421 pages

File Size : 11,90 MB

Release : 2023-12-02

Category : Computers

ISBN : 9355515979

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Book Description

Analytics made easy with Base and Advance SAS KEY FEATURES ● Understand the concepts of analytics. ● Learn SAS tools and its components used for data analytics. ● Learn concepts and functions for data manipulation. ● Explore data exploration concepts and functions. ● Learn the power of SQL with SAS for data analytics. ● Learn how to visualize data with SAS and discover insights from it. ● Includes the examples with codes and output for understanding key functions. DESCRIPTION Data Analytics with SAS is an attempt to learn concepts of Data Analytics with SAS tool. Starting with the fundamentals, the book introduces you to SAS by explaining its architecture, components, libraries and graphical user interface. It then delves into abilities like manipulating and exploring data, where both basic and advanced techniques are covered. The book outlines concepts and functions for data manipulation. Data manipulation is important as without it, we cannot define data in a proper format. Moreover, data without a proper format and features cannot be used for further analysis. The book outlines concepts and functions of data exploration. Data exploration or Exploratory Data Analysis (EDA) is the first step in data analysis. It is a very critical step as it helps us get insights from data to understand past behaviors. To facilitate a practical learning experience with SAS, the book offers examples and code snippets. In conclusion, this comprehensive guidebook serves as a valuable resource for individuals interested in data analytics using SAS. It caters to both novices and seasoned users alike while preparing them for roles, within the field of Data Analytics. WHAT YOU WILL LEARN ● Get familiar with the functions for insightful data exploration. ● Shape and transform data using data manipulation functions. ● Improve efficiency of SAS Operations by combining power of SQL with SAS. ● Learn how to automate data analysis tasks and share insights across your team with SAS macros. ● Learn how to visualize your data with impact using a variety of data visualization functions. WHO THIS BOOK IS FOR This book is meant for Data Analysts, Data Engineers, Business Analysts, Data Scientists, Business Intelligence Experts, Data journalists, Market researchers, Financial analysts, Risk analysts and anyone who wants to pursue a career in Analytics. TABLE OF CONTENTS 1. Introduction to SAS Programming 2. Overview of SAS Components 3. Data Manipulation 4. Advanced Data Manipulation 5. SAS Functions and Options 6. Data Exploration-I 7. Data Exploration-II 8. Importing Raw Data Files 9. Advanced SAS: Proc SQL 10. Macro Programming for Faster Data Manipulation 11. Data Visualization



Categorical Data Analysis Using SAS, Third Edition

Author : Maura E. Stokes

Publisher : SAS Institute

Page : 589 pages

File Size : 27,8 MB

Release : 2012-07-31

Category : Computers

ISBN : 1612900909

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Book Description

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. This book is part of the SAS Press program.



SAS Essentials

Author : Alan C. Elliott

Publisher : John Wiley & Sons

Page : 528 pages

File Size : 32,82 MB

Release : 2015-08-17

Category : Education

ISBN : 111904216X

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Book Description

A step-by-step introduction to using SAS® statistical software as a foundational approach to data analysis and interpretation Presenting a straightforward introduction from the ground up, SAS® Essentials: Mastering SAS for Data Analytics, Second Edition illustrates SAS using hands-on learning techniques and numerous real-world examples. Keeping different experience levels in mind, the highly-qualified author team has developed the book over 20 years of teaching introductory SAS courses. Divided into two sections, the first part of the book provides an introduction to data manipulation, statistical techniques, and the SAS programming language. The second section is designed to introduce users to statistical analysis using SAS Procedures. Featuring self-contained chapters to enhance the learning process, the Second Edition also includes: Programming approaches for the most up-to-date version of the SAS platform including information on how to use the SAS University Edition Discussions to illustrate the concepts and highlight key fundamental computational skills that are utilized by business, government, and organizations alike New chapters on reporting results in tables and factor analysis Additional information on the DATA step for data management with an emphasis on importing data from other sources, combining data sets, and data cleaning Updated ANOVA and regression examples as well as other data analysis techniques A companion website with the discussed data sets, additional code, and related PowerPoint® slides SAS Essentials: Mastering SAS for Data Analytics, Second Edition is an ideal textbook for upper-undergraduate and graduate-level courses in statistics, data analytics, applied SAS programming, and statistical computer applications as well as an excellent supplement for statistical methodology courses. The book is an appropriate reference for researchers and academicians who require a basic introduction to SAS for statistical analysis and for preparation for the Basic SAS Certification Exam.



Quick Start to Data Analysis with SAS

Author : Frank C. DiIorio

Publisher : Duxbury Resource Center

Page : 328 pages

File Size : 31,88 MB

Release : 1996

Category : Computers

ISBN :

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Book Description

This book quickly teaches students the fundamentals of using the SAS system to manage and analyze research data. It is intended for research methods or statistics courses using the SAS System to manage and analyze data in departments of psychology, education, sociology, political science, public administration, statistics, other sciences, and engineering.



Exploratory Data Analysis

Author : Frederick Hartwig

Publisher : SAGE

Page : 88 pages

File Size : 26,69 MB

Release : 1979

Category : Electronic books

ISBN : 9780803913707

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Book Description

An introduction to the underlying principles, central concepts, and basic techniques for conducting and understanding exploratory data analysis - with numerous social science examples.