JMP Start Statistics

A Guide to Statistics and Data Analysis Using JMP, Sixth Edition
Author: John Sall,Mia L. Stephens,Ann Lehman,Sheila Loring
Publisher: SAS Institute
ISBN: 1629608769
Category: Computers
Page: 660
View: 1802

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This book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises. Updated for JMP 13, JMP Start Statistics, Sixth Edition includes many new features, including: The redesigned Formula Editor. New and improved ways to create formulas in JMP directly from the data table or dialogs. Interface updates, including improved menu layout. Updates and enhancements in many analysis platforms. New ways to get data into JMP and to save and share JMP results. Many new features that make it easier to use JMP.

JMP for Basic Univariate and Multivariate Statistics

Methods for Researchers and Social Scientists, Second Edition
Author: Ann Lehman,Norm O'Rourke,Larry Hatcher,Edward Stepanski
Publisher: SAS Institute
ISBN: 1612906036
Category: Computers
Page: 558
View: 3416

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Learn how to manage JMP data and perform the statistical analyses most commonly used in research in the social sciences and other fields with JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition. Updated for JMP 10 and including new features on the statistical platforms, this book offers clearly written instructions to guide you through the basic concepts of research and data analysis, enabling you to easily perform statistical analyses and solve problems in real-world research. Step by step, you'll discover how to obtain descriptive and inferential statistics, summarize results clearly in a way that is suitable for publication, perform a wide range of JMP analyses, interpret the results, and more. Topics include screening data for errors selecting subsets computing the coefficient alpha reliability index (Cronbach's alpha) for a multiple-item scale performing bivariate analyses for all types of variables performing a one-way analysis of variance (ANOVA), multiple regression, and a one-way multivariate analysis of variance (MANOVA) Advanced topics include analyzing models with interactions and repeated measures. There is also comprehensive coverage of principle components with emphasis on graphical interpretation. This user-friendly book introduces researchers and students of the social sciences to JMP and to elementary statistical procedures, while the more advanced statistical procedures that are presented make it an invaluable reference guide for experienced researchers as well.

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: 2066

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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.

Visual Six Sigma

Making Data Analysis Lean
Author: Ian Cox,Marie A. Gaudard,Mia L. Stephens
Publisher: John Wiley & Sons
ISBN: 1119222257
Category: Business & Economics
Page: 576
View: 328

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Streamline data analysis with an intuitive, visual Six Sigma strategy Visual Six Sigma provides the statistical techniques that help you get more information from your data. A unique emphasis on the visual allows you to take a more active role in data-driven decision making, so you can leverage your contextual knowledge to pose relevant questions and make more sound decisions. You'll learn dynamic visualization and exploratory data analysis techniques that help you identify occurrences and sources of variation, and the strategies and processes that make Six Sigma work for your organization. The Six Sigma strategy helps you identify and remove causes of defects and errors in manufacturing and business processes; the more pragmatic Visual approach opens the strategy beyond the realms of statisticians to provide value to all business leaders amid the growing need for more accessible quality management tools. See where, why, and how your data varies Find clues to underlying behavior in your data Identify key models and drivers Build your own Six-Sigma experience Whether your work involves a Six Sigma improvement project, a design project, a data-mining inquiry, or a scientific study, this practical breakthrough guide equips you with the skills and understanding to get more from your data. With intuitive, easy-to-use tools and clear explanations, Visual Six Sigma is a roadmap to putting this strategy to work for your company.

Statistical Case Studies

A Collaboration Between Academe and Industry (Student Edition)
Author: Roxy Peck,Larry D. Haugh,Arnold Goodman
Publisher: SIAM
ISBN: 9780898719741
Category: Statistics
Page: 181
View: 4791

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Statisticians know that the clean data sets that appear in textbook problems have little to do with real-life industry data. To better prepare their students for all types of statistical careers, academic statisticians now strive to use data sets from real-life statistical problems. This book contains 20 case studies that use actual data sets that have not been simplified for classroom use. Each case study is a collaboration between statisticians from academe and from business, industry, or government.

Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction


Author: Khosrow-Pour, D.B.A., Mehdi
Publisher: IGI Global
ISBN: 1522573690
Category: Computers
Page: 1221
View: 2435

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As modern technologies continue to develop and evolve, the ability of users to adapt with new systems becomes a paramount concern. Research into new ways for humans to make use of advanced computers and other such technologies through artificial intelligence and computer simulation is necessary to fully realize the potential of tools in the 21st century. Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction provides emerging research in advanced trends in robotics, AI, simulation, and human-computer interaction. Readers will learn about the positive applications of artificial intelligence and human-computer interaction in various disciples such as business and medicine. This book is a valuable resource for IT professionals, researchers, computer scientists, and researchers invested in assistive technologies, artificial intelligence, robotics, and computer simulation.

People in Nature

Wildlife Conservation in South and Central America
Author: Kirsten M. Silvius,Richard E. Bodmer,José M. V. Fragoso
Publisher: Columbia University Press
ISBN: 0231502087
Category: Nature
Page: 464
View: 7624

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This book reviews wildlife management and conservation in Central and South America. The book discusses the threats to biodiversity in this area including habitat fragmentation, development, ranching, tourism as well as hunting. The book contains contributions from many local Latin American authors who work there daily and are exposed to the numerous and unique issues that need to be taken into account when talking about conservation in Central and South America.

Statistics with JMP

Graphs, Descriptive Statistics and Probability
Author: Peter Goos,David Meintrup
Publisher: John Wiley & Sons
ISBN: 1119035708
Category: Mathematics
Page: 368
View: 6009

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"Provides a comprehensive and rigorous presentation of descriptive statistics and probability theory that has been extensively classroom tested"--

Visualizing Statistical Models And Concepts


Author: R.W. Farebrother,Michael Schyns
Publisher: CRC Press
ISBN: 9780203908990
Category: Mathematics
Page: 280
View: 3092

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Examines classic algorithms, geometric diagrams, and mechanical principles for enhancing visualization of statistical estimation procedures and mathematical concepts in physics, engineering, and computer programming.

Introduction to Design of Experiments with JMP Examples


Author: Jacques Goupy,Lee Creighton
Publisher: Sas Inst
ISBN: 9781599944227
Category: Computers
Page: 448
View: 2886

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Illustrated with numerous real-world examples borrowed from a broad base of industries, this updated edition employs a gentle, progressive approach to using designed experiments. It covers basic ideas, terminology, and the application of techniques necessary to conduct a study using the design of experiments (DOE) framework.

Statistik für Dummies


Author: Deborah J. Rumsey
Publisher: John Wiley & Sons
ISBN: 3527692762
Category: Education
Page: 355
View: 4539

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Statistik ist ganz sicher kein beliebtes, aber ein notwendiges und auch nï¿1⁄2tzliches Thema. Deborah Rumsey erklï¿1⁄2rt Ihnen in diesem Buch die notwendigen Grundbegriffe, erlï¿1⁄2utert die wichtigsten statistischen Konzepte und schafft einen Bezug zwischen Theorie und Praxis. Dabei kommt Sie fast ohne Formeln aus. Sie lernen die verschiedenen grafischen Darstellungsmï¿1⁄2glichkeiten von statistischem Material kennen und erfahren, wie Sie Ihre Ergebnisse richtig auswerten. Egal ob Mittelwert, Bias, Standardabweichung oder Konfidenzintervall, schon bald kann Ihnen keiner mehr etwas vormachen.

Modern Industrial Statistics

with applications in R, MINITAB and JMP
Author: Ron S. Kenett,Shelemyahu Zacks,Daniele Amberti
Publisher: John Wiley & Sons
ISBN: 1118763696
Category: Mathematics
Page: 592
View: 5756

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Fully revised and updated, this book combines a theoretical background with examples and references to R, MINITAB and JMP, enabling practitioners to find state-of-the-art material on both foundation and implementation tools to support their work. Topics addressed include computer-intensive data analysis, acceptance sampling, univariate and multivariate statistical process control, design of experiments, quality by design, and reliability using classical and Bayesian methods. The book can be used for workshops or courses on acceptance sampling, statistical process control, design of experiments, and reliability. Graduate and post-graduate students in the areas of statistical quality and engineering, as well as industrial statisticians, researchers and practitioners in these fields will all benefit from the comprehensive combination of theoretical and practical information provided in this single volume. Modern Industrial Statistics: With applications in R, MINITAB and JMP: Combines a practical approach with theoretical foundations and computational support. Provides examples in R using a dedicated package called MISTAT, and also refers to MINITAB and JMP. Includes exercises at the end of each chapter to aid learning and test knowledge. Provides over 40 data sets representing real-life case studies. Is complemented by a comprehensive website providing an introduction to R, and installations of JMP scripts and MINITAB macros, including effective tutorials with introductory material: www.wiley.com/go/modern_industrial_statistics.

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: 2414

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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.

Practical Data Analysis with JMP, Second Edition


Author: Robert Carver
Publisher: SAS Institute
ISBN: 1629592641
Category: Computers
Page: 486
View: 1087

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Understand the concepts and techniques of analysis while learning to reason statistically. Being an effective analyst requires that you know how to properly define a problem and apply suitable statistical techniques, as well as clearly and honestly communicate the results with information-rich visualizations and precise language. Being a well-informed consumer of analyses requires the same set of skills so that you can recognize credible, actionable research when you see it. Robert Carver's Practical Data Analysis with JMP, Second Edition uses the powerful interactive and visual approach of JMP to introduce readers to the logic and methods of statistical thinking and data analysis. It enables you to discriminate among and to use fundamental techniques of analysis, enabling you to engage in statistical thinking by analyzing real-world problems. “Application Scenarios” at the end of each chapter challenge you to put your knowledge and skills to use with data sets that go beyond mere repetition of chapter examples, and three new review chapters help readers integrate ideas and techniques. In addition, the scope and sequence of the chapters have been updated with more coverage of data management and analysis of data. The book can stand on its own as a learning resource for professionals or be used to supplement a standard college-level introduction-to-statistics textbook. It includes varied examples and problems that rely on real sets of data, typically starting with an important or interesting research question that an investigator has pursued. Reflective of the broad applicability of statistical reasoning, the problems come from a wide variety of disciplines, including engineering, life sciences, business, economics, among Practical Data Analysis with JMP, Second Edition introduces you to the major platforms and essential features of JMP and will leave you with a sufficient background and the confidence to continue your exploration independently. This book is part of the SAS Press program.

SAS for linear models

a guide to the ANOVA and GLM procedures
Author: Rudolf Jakob Freund,Ramon C. Littell
Publisher: N.A
ISBN: N.A
Category: Computers
Page: 231
View: 6350

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Some basic statistics: a review; Elements of a SAS program; Regression; Statistical background; Implementing GLM for regression; Other topics; Creating data; Multicollinearity; Analysis of means; One- and two-sample tests and statistics; Comparison of several means: the analysis of variance; Analysis-of-variance models of less than full rank; The dummy-variable model; Two-way structure; Higher-order structures; Nested structure; Proper error terms; Estimable functions; Examples of special applications; Covariance and the heterogeneity of slopes; A one-way structure; Two-way structure without interaction; Two-way structure with interaction; Heterogeneity of slopes; Multivariate linear models; A one-way structure; A two-factor factorial; Multivariate analysis of covariance.

Regression

Modelle, Methoden und Anwendungen
Author: Ludwig Fahrmeir,Thomas Kneib,Stefan Lang
Publisher: Springer-Verlag
ISBN: 3642018378
Category: Business & Economics
Page: 502
View: 9576

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In dem Band beschreiben die Autoren erstmals klassische Regressionsansätze und moderne nicht- und semiparametrische Methoden in einer integrierten und anwendungsorientierten Form. Um Lesern die Analyse eigener Fragestellungen zu ermöglichen, demonstrieren sie die praktische Anwendung der Konzepte und Methoden anhand ausführlicher Fallstudien. Geeignet für Studierende der Statistik sowie für Wissenschaftler und Praktiker, zum Beispiel in den Wirtschafts- und Sozialwissenschaften, der Bioinformatik und -statistik, Ökonometrie und Epidemiologie.

Die Generative Grammatik: Syntaktische Grundannahmen und Analyseverfahren


Author: Michael Möllmann
Publisher: GRIN Verlag
ISBN: 3638692671
Category:
Page: 56
View: 8220

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Studienarbeit aus dem Jahr 2004 im Fachbereich Sprachwissenschaft / Sprachforschung (fachubergreifend), Note: sehr gut, Heinrich-Heine-Universitat Dusseldorf, Veranstaltung: Einfuhrung in die Syntax, 6 Quellen im Literaturverzeichnis, Sprache: Deutsch, Abstract: In dieser Arbeit beschaftige ich mich mit dem Modell der Generativen Grammatik. Da die Syntax eine wesentliche Komponente einer Grammatik ist, liegt der Schwerpunkt meiner Ausarbeitungen auf den syntaktischen Grundannahmen und Analyseverfahren der Generativen Grammatik, welche massgeblich von Avram Noam Chomsky entwickelt wurden. Um einen ersten Einblick in die Generative Theorie zu erhalten, gehe ich zunachst auf die elementaren Entwicklungsstadien der Generativen Grammatik ein. Auch wird mit der Problematik des Spracherwerbs respektive der Universalgrammatik ein wichtiger Ansatzpunkt besagter Grammatiktheorie dargestellt. In meinen weiteren Ausfuhrungen zeige ich mit u. a. der Konstituentenstrukturanalyse, X-Bar- und Kasus-Theorie die elementaren Module der Generativen Grammatik auf und nehme anschliessend auf die Interaktion dieser syntaktischen Module Bezu

Using JMP Student Edition 14


Author: SAS Institute
Publisher: SAS Institute
ISBN: 1635268745
Category: Computers
Page: 724
View: 905

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Using JMP Student Edition is the official user guide for JMP Student Edition, the streamlined edition of JMP for first year statistics students. Clearly written, with easy-to-follow, step-by-step instructions, this book provides engaging illustrations and concept overviews. Chapters cover JMP basics such as importing data, creating formulas, creating graphs with Graph Builder, and performing univariate and bivariate data analysis. More complex analyses are covered, including Partition, Multiple Regression, Time Series, Design of Experiments, Variability Gauge Charts, and Quality Control, and more. JMP Student Edition software is available from major textbook publishers when packaged with their textbooks for course use.