Elementary Statistics Using SAS

Author: Sandra D. Schlotzhauer

Publisher: SAS Institute

ISBN: 9781607644262

Category: Computers

Page: 560

View: 7538

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.

Elementary Statistics Using JMP

Author: Sandra D. Schlotzhauer

Publisher: SAS Institute

ISBN: 1599944286

Category: Computers

Page: 475

View: 7568

Learn how to perform basic statistical analyses using the powerful JMP software. Elementary Statistics Using JMP bridges the gap between statistics texts and JMP documentation. Author Sandra Schlotzhauer opens with an explanation of the basics of JMP data tables, demonstrating how to use JMP for descriptive statistics and graphs. The author continues with a lucid discussion of fundamental statistical concepts, including normality and hypothesis testing. Using a step-by-step approach, she shows analyses for comparing two groups, comparing multiple groups, fitting regression equations, and exploring contingency tables. For each analysis, the author clearly explains assumptions, the statistical approach, the JMP steps and results, and how to make conclusions from the results. Statistical methods include: *histograms, box plots, descriptive statistics, stem-and-leaf plots *mosaic plots, bar charts, and treemaps *t-tests and Wilcoxon tests to compare two independent or paired groups *one-way ANOVA and Kruskal-Wallis tests, and selected multiple comparison techniques *Pearson and Spearman correlation coefficients *regression models for lines, curves, and multiple variables *residuals plots and lack-of-fit tests for regression *Chi-square tests, Fisher's Exact test, and measures of association for contingency tables. Understand how to interpret both the graphs and text reports, as well as how to customize JMP results to meet your needs. Packed with examples from a broad range of industries, this text is ideal for novice to intermediate JMP users. Prior statistical knowledge, JMP experience, or programming skills are not required.

Step-by-Step Basic Statistics Using SAS

Student Guide

Author: Larry Hatcher

Publisher: SAS Institute

ISBN: 9781590471487

Category: Computers

Page: 710

View: 5615

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. Reinforce what you've learned by completing the exercises in the companion text, Step-by-Step Basic Statistics Using SAS: Exercises. 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. Reinforce what you've learned by completing the exercises in the companion text, Step-by-Step Basic Statistics Using SAS: Exercises.

SAS System for Elementary Statistical Analysis

Author: Sandra D. Schlotzhauer,Ramon C. Littell

Publisher: SAS Institute

ISBN: 9781580250184

Category: Computers

Page: 440

View: 4620

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.

Teaching Elementary Statistics with JMP

Author: Chris Olsen,Sas Institute

Publisher: Sas Inst

ISBN: 9781607646686

Category: Computers

Page: 201

View: 9602

Includes bibliographical references and index.

Basic Statistics Using SAS Enterprise Guide

A Primer

Author: Geoff Der,Brian Everitt

Publisher: SAS Institute

ISBN: 1599947153

Category: Computers

Page: 240

View: 2698

This example-rich guide shows you how to conduct a wide range of statistical analyses with no SAS programming required. For each analysis, one or more real data sets, a brief introduction of the technique, and a clear explanation of the SAS Enterprise Guide output are provided.

Validating Clinical Trial Data Reporting with SAS

Author: Carol I. Matthews,Brian C. Shilling

Publisher: SAS Institute

ISBN: 1599941287

Category: Computers

Page: 206

View: 2898

This indispensable guide focuses on validating programs written to support the clinical trial process from after the data collection stage to generating reports and submitting data and output to the Food and Drug Administration.

Common Statistical Methods for Clinical Research with SAS Examples

Author: Glenn A. Walker

Publisher: SAS Institute

ISBN: 9781590470404

Category: Computers

Page: 464

View: 6721

This updated edition provides clinical researchers with an invaluable aid for understanding the statistical methods cited most frequently in clinical protocols, statistical analysis plans, clinical and statistical reports, and medical journals. The text is written in a way that takes the non-statistician through each test using examples, yet substantive details are presented that benefit even the most experienced data analysts.


Author: N.A

Publisher: N.A


Category: Experimental design

Page: N.A

View: 5878

Statistik-Workshop für Programmierer

Author: Allen B. Downey

Publisher: O'Reilly Germany

ISBN: 3868993436

Category: Computers

Page: 160

View: 4620

Wenn Sie programmieren können, beherrschen Sie bereits Techniken, um aus Daten Wissen zu extrahieren. Diese kompakte Einführung in die Statistik zeigt Ihnen, wie Sie rechnergestützt, anstatt auf mathematischem Weg Datenanalysen mit Python durchführen können. Praktischer Programmier-Workshop statt grauer Theorie: Das Buch führt Sie anhand eines durchgängigen Fallbeispiels durch eine vollständige Datenanalyse -- von der Datensammlung über die Berechnung statistischer Kennwerte und Identifikation von Mustern bis hin zum Testen statistischer Hypothesen. Gleichzeitig werden Sie mit statistischen Verteilungen, den Regeln der Wahrscheinlichkeitsrechnung, Visualisierungsmöglichkeiten und vielen anderen Arbeitstechniken und Konzepten vertraut gemacht. Statistik-Konzepte zum Ausprobieren: Entwickeln Sie über das Schreiben und Testen von Code ein Verständnis für die Grundlagen von Wahrscheinlichkeitsrechnung und Statistik: Überprüfen Sie das Verhalten statistischer Merkmale durch Zufallsexperimente, zum Beispiel indem Sie Stichproben aus unterschiedlichen Verteilungen ziehen. Nutzen Sie Simulationen, um Konzepte zu verstehen, die auf mathematischem Weg nur schwer zugänglich sind. Lernen Sie etwas über Themen, die in Einführungen üblicherweise nicht vermittelt werden, beispielsweise über die Bayessche Schätzung. Nutzen Sie Python zur Bereinigung und Aufbereitung von Rohdaten aus nahezu beliebigen Quellen. Beantworten Sie mit den Mitteln der Inferenzstatistik Fragestellungen zu realen Daten.

JMP Essentials

An Illustrated Step-by-Step Guide for New Users, Second Edition

Author: Curt Hinrichs,Chuck Boiler

Publisher: SAS Institute

ISBN: 1629592889

Category: Mathematics

Page: 358

View: 4568

Grasp essential steps in order to generate meaningful results quickly with JMP. JMP Essentials: An Illustrated Step-by-Step Guide for New Users, Second Edition is designed for the new or occasional JMP user who needs to generate meaningful graphs or results quickly. Drawing on their own experience working with these customers, the authors provide essential steps for what new users typically need to carry out with JMP. This newest edition has all new instructions and screen shots reflecting the latest release of JMP software. In addition, it has eight new detailed sections and 10 new subsections that include creating maps, filtering data, creating dashboards, and working with Excel data, all of which highlight new, useful and basic level enhancements to JMP. The format of the book is unique. It adopts a show-and-tell design with essential step-by-step instructions and corresponding screen illustrations, which help users quickly see how to generate the desired results. In most cases, each section completes a JMP task, which maximizes the book's utility as a reference. In addition, each chapter contains a family of features that are carefully crafted to first introduce you to basic features and then on to more advanced ones. JMP Essentials: An Illustrated Step-by-Step Guide for New Users, Second Edition is the quickest and most accessible reference book available. This is part of the SAS Press program.

SAS language guide for personal computers, Version 6 edition

Author: SAS Institute

Publisher: N.A


Category: Computers

Page: 429

View: 4551

The SAS Language Guide for Personal Computers is one of a set of three manuals documenting base SAS sofware on microcomputers. The other books in the set are SAS introductory Guide for Personal Computers and SAS Procedures Guide for Personal Computers. This manual, SAS Language Guide for Personal Computers, contains the fundamentals of the SAS System: an introduction to the DATA and PROC steps, the syntax and use of SAS statements, and system files and options. Whether you are a new or experienced SAS user, we encourage you to read the SAS Introductory Guide dor Personal Computers as you begin to use SAS software on your PC. Then, dependings on your application, you can quickly advance to this book and the procedures. After you have become familiar with the syntax of the SAS language, you may want to use fill-in-the-blank menu screens as a shortcut to writing some of your SAS programs. See the SAS introductory Guide for Personal Computers for details.

Think Like a Programmer - Deutsche Ausgabe

Typische Programmieraufgaben kreativ lösen am Beispiel von C++

Author: V. Anton Spraul

Publisher: MITP-Verlags GmbH & Co. KG

ISBN: 3826692780

Category: Computers

Page: 304

View: 2448

Typische Programmieraufgaben kreativ lösen am Beispiel von C++ Von der Aufgabe zur Lösung – so gehen Sie vor Probleme analysieren und schrittweise bearbeiten Systematisches Vorgehen lernen und anwenden Aus dem Inhalt: Strategien zur Problemlösung Eingabeverarbeitung Statusverfolgung Arrays Zeiger und dynamische Speicherverwaltung Klassen Rekursion Wiederverwendung von Code Rekursive und iterative Programmierung Denken wie ein Programmierer Die Herausforderung beim Programmieren besteht nicht im Erlernen der Syntax einer bestimmten Sprache, sondern in der Fähigkeit, auf kreative Art Probleme zu lösen. In diesem einzigartigen Buch widmet sich der Autor V. Anton Spraul genau jenen Fähigkeiten, die in normalen Lehrbüchern eher nicht behandelt werden: die Fähigkeit, wie ein Programmierer zu denken und Aufgaben zu lösen. In den einzelnen Kapiteln behandelt er jeweils verschiedene Programmierkonzepte wie beispielsweise Klassen, Zeiger und Rekursion, und fordert den Leser mit erweiterbaren Übungen zur praktischen Anwendung des Gelernten auf. Sie lernen unter anderem: Probleme in diskrete Einzelteile zerlegen, die sich leichter lösen lassen Funktionen, Klassen und Bibliotheken möglichst effizient nutzen und wiederholt verwenden die perfekte Datenstruktur für eine Aufgabenstellung auswählen anspruchsvollere Programmiertechniken wie Rekursion und dynamischen Speicher einsetzen Ihre Gendanken ordnen und Strategien entwickeln, um bestimmte Problemkategorien in Angriff zu nehmen Die Beispiele im Buch werden mit C++ gelöst, die dargestellten kreativen Problemlösungskonzepte gehen aber weit über die einzelnen Programmiersprachen und oft sogar über den Bereich der Informatik hinaus. Denn wie die fähigsten Programmierer wissen, handelt es sich beim Schreiben herausragender Quelltexte um kreative Kunst und der erste Schritt auf dem Weg zum eigenen Meisterwerk besteht darin, wie ein Programmierer zu denken. Über den Autor: V. Anton Spraul hat über 15 Jahre lang Vorlesungen über die Grundlagen der Programmierung und Informatik gehalten. In diesem Buch fasst er die von ihm dabei perfektionierten Verfahren zusammen. Er ist auch Autor von »Computer Science Made Simple«.

Amstat News

Author: N.A

Publisher: N.A


Category: Statistics

Page: N.A

View: 2926

SAS System for Mixed Models

Author: Ramon C. Littell,George A. Milliken,Walter W. Stroup,Russell D. Wolfinger

Publisher: SAS Institute

ISBN: 9781555447793

Category: Computers

Page: 633

View: 4575

At last! A comprehensive, applications-oriented mixed models guide for data analysis. Discover the latest capabilities available for a wide range of applications featuring the MIXED procedure in SAS/STAT software.

Clinical Nursing Research

A Guide to Undertaking and Using Research in Nursing Practice

Author: Anna Marie Lieske

Publisher: Aspen Publishers

ISBN: 9780871892515

Category: Medical

Page: 296

View: 7974

SAS System for Regression

Author: Rudolf Jakob Freund,Ramon C. Littell

Publisher: SAS Press

ISBN: 9781580257251

Category: Computers

Page: 236

View: 2085

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.

Statistik II für Dummies

Author: Deborah J. Rumsey

Publisher: John Wiley & Sons

ISBN: 3527669248

Category: Mathematics

Page: 372

View: 6159

Vom Absolutrang bis zum Zweifach-Varianzanalysemodell – alles, was Sie über weiterführende Statistik wissen sollten Es gibt Qualen, große Qualen und Statistik, so sehen es viele Studenten. Mit diesem Buch lernen Sie weiterführende Statistik so leicht wie möglich. Deborah Rumsey zeigt Ihnen, wie Sie Varianzanalysen und Chi-Quadrat-Tests berechnen, wie Sie mit Regressionen arbeiten, ein Modell erstellen, Korrelationen bilden, nichtparametrische Prozeduren durchführen und vieles mehr. Aber auch die Grundlagen der Statistik bleiben nicht außen vor und deshalb erklärt Ihnen die Autorin, was Sie zu Mittelwerten, Vertrauensintervallen und Co wissen sollten. So lernen Sie die Methoden, die Sie brauchen, und erhalten das Handwerkszeug, um erfolgreich Ihre Statistikprüfungen zu bestehen. Sie erfahren: • Wie Sie mit multiplen Regressionen umgehen • Was es mit dem Vorzeichentest und dem Vorzeichenrangtest auf sich hat • Wie Sie sich innerhalb der statistischen Techniken zurechtfinden • Was das richtige Regressionsmodell für Ihre Analyse ist • Wie Regression und ANOVA zusammenhängen

A Step-By-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition

Author: Norm O'Rourke,Larry Hatcher

Publisher: SAS Institute

ISBN: 1599942305

Category: Computers

Page: 444

View: 8483

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 users?even 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.SAS Products and Releases: 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, 8.2, 8.1, 8.01, 8.00, 8.0, 7.01, 6.12, 6.11, 6.10, 6.09, 6.08, 6.07, 6.06, 6.04, 6.03, 6.02, 12.1 Operating Systems: All

Customer Segmentation and Clustering Using SAS Enterprise Miner, Second Edition

Author: Randy Collica

Publisher: SAS Institute

ISBN: 1612900925

Category: Mathematics

Page: 378

View: 2840

In Customer Segmentation and Clustering Using SAS Enterprise Miner, Second Edition, Randy Collica employs SAS Enterprise Miner and the most commonly available techniques for customer relationship management (CRM). You will learn how to segment customers more intelligently and to achieve, or at least get closer to, the one-to-one customer relationship that today's businesses want. Step-by-step examples and exercises clearly illustrate the concepts of segmentation and clustering in the context of CRM. The book is divided into four parts. Part 1 reviews the basics of segmentation and clustering at an introductory level, providing examples from a variety of industries. Part 2 offers an in-depth treatment of segmentation with practical topics such as when and how to update your models and clustering with many attributes. Part 3 goes beyond traditional segmentation practices to introduce recommended strategies for clustering product affinities, handling missing data, and incorporating textual records into your predictive model with SAS Text Miner software. Part 4 takes segmentation to a new level with advanced techniques such as clustering of product associations, developing segmentation scoring models from customer survey data, combining segmentations using ensemble segmentation, and segmentation of customer transactions. Updates to the second edition include four new chapters in Part 4, Chapters 13-16, that introduce new and advanced analytic techniques that can be valuable in many customer segmentation applications. In addition, Chapter 9 has a new section on using the Imputation node in SAS Enterprise Miner to accomplish missing data imputation, compared to PROC MI used in earlier sections of Chapter 9. Also included are business insights and motivations for selection settings and analytical decisions on many of the examples included in this second edition. This straightforward guide will appeal to anyone who seeks to better understand customers or prospective customers. Additionally, professors and students will find the book well suited for a business data mining analytics course in an MBA program or related course of study. You should understand basic statistics, but no prior knowledge of data mining or SAS Enterprise Miner is required. This book is part of the SAS Press program.