Step By Step Basic Statistics Using Sas
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Step By Step Basic Statistics Using Sas
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Author : Larry Hatcher
language : en
Publisher:
Release Date : 2003
Step By Step Basic Statistics Using Sas written by Larry Hatcher and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.
Step By Step Basic Statistics Using Sas
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Author : Larry Hatcher
language : en
Publisher: SAS Press
Release Date : 2003
Step By Step Basic Statistics Using Sas written by Larry Hatcher and has been published by SAS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Mathematical statistics categories.
Student guide addresses how to use the SAS windowing environment, how to create SAS data sets, basic descriptive statistics; correlation and regression; t tests; analysis of variance (ANOVA), and the chi-square test of independence. Apply what you've learned with exercises in the companion text. Student guide addresses how to use the SAS windowing environment, how to create SAS data sets, basic descriptive statistics; correlation and regression; t tests; analysis of variance (ANOVA), and the chi-square test of independence. Apply what you've learned with exercises in the companion text.
Step By Step Basic Statistics Using Sas
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Author : Larry Hatcher
language : en
Publisher:
Release Date : 2003-04-02
Step By Step Basic Statistics Using Sas written by Larry Hatcher and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-04-02 with Computers categories.
Larry Hatcher's Step-by-Step Basic Statistics Using SAS: Student Guide first introduces you to SAS software, then leads you through a variety of elementary statistical analyses that are commonly used in the social and behavioral sciences. With SAS, you can focus more on conceptual issues in statistical analysis and less on the mechanics of performing mathematical operations by hand. Main topics include how to use the SAS windowing environment to write and submit SAS programs; how to create SAS data sets and modify the variables that they contain; basic descriptive statistics (measures of central tendency and variability, frequency tables, and graphs); correlation and regression; t tests (single-sample, independent and paired samples); analysis of variance (ANOVA), both one-way and factorial; and the chi-square test of independence. Even if you are new to statistics and computers, you soon will be recording research data, writing SAS programs, and interpreting the results. Reinforce what you've learned by completing the exercises in the companion text, Step-by-Step Basic Statistics Using SAS: Exercises.
A Handbook Of Statistical Graphics Using Sas Ods
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Author : Geoff Der
language : en
Publisher: CRC Press
Release Date : 2014-08-15
A Handbook Of Statistical Graphics Using Sas Ods written by Geoff Der and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-15 with Mathematics categories.
Easily Use SAS to Produce Your Graphics Diagrams, plots, and other types of graphics are indispensable components in nearly all phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the diagnosis of the chosen models once they have been fitted to the data. Harnessing the full graphics capabilities of SAS, A Handbook of Statistical Graphics Using SAS ODS covers essential graphical methods needed in every statistician’s toolkit. It explains how to implement the methods using SAS 9.4. The handbook shows how to use SAS to create many types of statistical graphics for exploring data and diagnosing fitted models. It uses SAS’s newer ODS graphics throughout as this system offers a number of advantages, including ease of use, high quality of results, consistent appearance, and convenient semiautomatic graphs from the statistical procedures. Each chapter deals graphically with several sets of example data from a wide variety of areas, such as epidemiology, medicine, and psychology. These examples illustrate the use of graphic displays to give an overview of data, to suggest possible hypotheses for testing new data, and to interpret fitted statistical models. The SAS programs and data sets are available online.
Business Statistics Made Easy In Sas
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Author : Gregory Lee
language : en
Publisher: SAS Institute
Release Date : 2015-10-30
Business Statistics Made Easy In Sas written by Gregory Lee and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-30 with Business & Economics categories.
Learn or refresh core statistical methods for business with SAS® and approach real business analytics issues and techniques using a practical approach that avoids complex mathematics and instead employs easy-to-follow explanations. Business Statistics Made Easy in SAS® is designed as a user-friendly, practice-oriented, introductory text to teach businesspeople, students, and others core statistical concepts and applications. It begins with absolute core principles and takes you through an overview of statistics, data and data collection, an introduction to SAS®, and basic statistics (descriptive statistics and basic associational statistics). The book also provides an overview of statistical modeling, effect size, statistical significance and power testing, basics of linear regression, introduction to comparison of means, basics of chi-square tests for categories, extrapolating statistics to business outcomes, and some topical issues in statistics, such as big data, simulation, machine learning, and data warehousing. The book steers away from complex mathematical-based explanations, and it also avoids basing explanations on the traditional build-up of distributions, probability theory and the like, which tend to lose the practice-oriented reader. Instead, it teaches the core ideas of statistics through methods such as careful, intuitive written explanations, easy-to-follow diagrams, step-by-step technique implementation, and interesting metaphors. With no previous SAS experience necessary, Business Statistics Made Easy in SAS® is an ideal introduction for beginners. It is suitable for introductory undergraduate classes, postgraduate courses such as MBA refresher classes, and for the business practitioner. It is compatible with SAS® University Edition.
A Step By Step Approach To Using The Sas System For Factor Analysis And Structural Equation Modeling
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Author : Larry Hatcher
language : en
Publisher: SAS Press
Release Date : 1994
A Step By Step Approach To Using The Sas System For Factor Analysis And Structural Equation Modeling written by Larry Hatcher and has been published by SAS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
Using easy-to-comprehend terms and uncomplicated examples, author Larry Hatcher walks you, step-by-step, through this introduction to using SAS software for performing advanced statistical procedures in social science research and interpreting the results. Part one of the book discusses exploratory factor analysis at an easily understood, introductory level. Part two instructs the reader on how to use the CALIS procedure to perform confirmatory factor analysis, path analysis with manifest variables, and path analysis with latent variables. This book includes appendices that give basic instruction in using SAS software.
A Step By Step Approach To Using Sas For Factor Analysis And Structural Equation Modeling
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Author : Larry Hatcher
language : en
Publisher: SAS Institute
Release Date : 2013-03-01
A Step By Step Approach To Using Sas For Factor Analysis And Structural Equation Modeling written by Larry Hatcher and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-01 with Computers categories.
Annotation Structural equation modeling (SEM) has become one of the most important statistical procedures in the social and behavioral sciences. This easy-to-understand guide makes SEM accessible to all userseven those whose training in statistics is limited or who have never used SAS. It gently guides users through the basics of using SAS and shows how to perform some of the most sophisticated data-analysis procedures used by researchers: exploratory factor analysis, path analysis, confirmatory factor analysis, and structural equation modeling. It shows how to perform analyses with user-friendly PROC CALIS, and offers solutions for problems often encountered in real-world research. This second edition contains new material on sample-size estimation for path analysis and structural equation modeling. In a single user-friendly volume, students and researchers will find all the information they need in order to master SAS basics before moving on to factor analysis, path analysis, and other advanced statistical procedures.
Elementary Statistics Using Sas
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Author : Sandra D. Schlotzhauer
language : en
Publisher: SAS Institute
Release Date : 2015-05-05
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 2015-05-05 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. This book is part of the SAS Press program.
Step By Step Basic Statistics Using Sas
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Author : Larry Hatcher
language : en
Publisher:
Release Date : 2003-04-02
Step By Step Basic Statistics Using Sas written by Larry Hatcher and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-04-02 with Computers categories.
With Larry Hatcher's Step-by-Step Basic Statistics Using SAS: Exercises, you apply what you learned in the companion text, Step-by-Step Basic Statistics Using SAS: Student Guide. Using the instruction provided, you soon will be creating data sets and performing statistical analyses to investigate specific research questions. The exercise data is inspired by studies in the social and behavioral sciences, so your analyses and findings mirror real research. Each chapter presents two opportunities to explore the results of the analyses and to practice writing summary reports. For the first exercise, a complete solution is provided, including the SAS program, output, and analysis report, as well as tables and figures. For the second exercise, you supply the solution.
Time Series Analysis Using Sas Enterprise Guide
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Author : Timina Liu
language : en
Publisher: Springer Nature
Release Date : 2020-02-19
Time Series Analysis Using Sas Enterprise Guide written by Timina Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-19 with Computers categories.
This is the first book to present time series analysis using the SAS Enterprise Guide software. It includes some starting background and theory to various time series analysis techniques, and demonstrates the data analysis process and the final results via step-by-step extensive illustrations of the SAS Enterprise Guide software. This book is a practical guide to time series analyses in SAS Enterprise Guide, and is valuable resource that benefits a wide variety of sectors.