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JMP software books
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JMP Start Statistics:: A Guide to Statistics and Data Analysis Using JMP, Fifth Edition
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JMP Essentials: An Illustrated Step-by-Step Guide for New Users
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Fundamentals of Predictive Analytics with JMP
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Practical Data Analysis with JMP
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JSL Companion: Applications of the JMP Scripting Language
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JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition
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Preliminary Edition of Statistics: Learning from Data (with Printed Access Card for JMP)nd Edition
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JMP Means Business: Statistical Models for Management
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JMP Start Statistics:: A Guide to Statistics and Data Analysis Using JMP, Fifth Edition
Publication Date: April 2, 2012
ISBN-10: 1612902049 | ISBN-13: 978-1612902043
Edition: 5
Description:
JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fifth Edition, is the perfect mix of software manual and statistics text. Authors John Sall, Ann Lehman, Mia Stephens, and Lee Creighton provide 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.
JMP Start Statistics, Fifth Edition, includes many new features of JMP 10, including an enhanced ability to manage a JMP session by easily tracking open and recently opened JMP tables; scripts, analyses, JMP projects, and other files; vastly expanded tools for instructors to demonstrate statistical concepts and interactive scripts to help students grasp difficult topics; Split-Plot designs with examples; examples of Graph Builder and Control Chart Builder; and new features that make the software easier to use.
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JMP Essentials: An Illustrated Step-by-Step Guide for New Users
Publication Date: July 8, 2010
ISBN-10: 1607644770 | ISBN-13: 978-1607644774
Description:
Time is a scarce commodity in today's business environment. Curt Hinrichs and Chuck Boiler's JMP Essentials: An Illustrated Step-by-Step Guide for New Users is designed for the new or occasional JMP user who needs to generate meaningful graphs or results quickly. The authors, drawing on their own extensive experience working with customers with little or no background in JMP, provide a good survey and just what new users typically need.
The format of the book is unique. It adopts a show-and-tell design with essential steps on the left-hand side and extensive illustrations on the right, which is very similar to the software's own philosophy of producing graphs alongside results. In most cases, each page or two-page spread 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 basic features and progress to more advanced ones. For new users, JMP Essentials is the most accessible and fastest reference available.
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Fundamentals of Predictive Analytics with JMP
Publication Date: May 15, 2013
ISBN-10: 1612904254 | ISBN-13: 978-1612904252
Description:
Fundamentals of Predictive Analytics with JMP bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining/predictive analytics. It provides the technical knowledge and problem-solving skills needed to perform real data multivariate analysis. Utilizing JMP 10 and JMP Pro, the book offers new and enhanced resources, including an add-in to Microsoft Excel, Graph Builder, and data mining capabilities.
Written for students in undergraduate and graduate-level statistics courses, this book first teaches students to recognize when it is appropriate to use the tool, to understand what variables and data are required, and to know what the results might be. Second, it teaches them how to interpret the results, followed by step-by-step instructions on how and where to perform and evaluate the analysis in JMP.
With the new emphasis on business intelligence, business analytics and predictive analytics, this book is invaluable to everyone who needs to expand their knowledge of statistics and apply real problem-solving analysis.
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Practical Data Analysis with JMP
Publication Date: August 30, 2010
ISBN-10: 1607644754 | ISBN-13: 978-
Description:
Being an effective analyst or a well-informed consumer of analyses requires that you know how to properly define the problem, apply suitable statistical techniques, and clearly and honestly communicate the results. Being a well-informed consumer of analyses requires the same skills so that you can recognize them in action. Robert Carver's Practical Data Analysis with JMP uses the powerful interactive and visual approach of JMP to introduce readers to the logic and methods of statistical thinking and data analysis. The book can stand on its own as a learning resource or be used to supplement a standard introduction-to-statistics textbook. It includes a myriad of examples and problems that rely on real sets of data, often 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, medicine, business, demography, among others, and include a number of international and historical examples.
Practical Data Analysis with JMP helps you begin to engage in statistical thinking, discriminate among some fundamental statistical techniques, and perform data analysis. It 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.
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JSL Companion: Applications of the JMP Scripting Language
Publication Date: February 20, 2012
ISBN-10: 1607648806 | ISBN-13: 978-1607648802
Description:
JSL Companion: Applications of the JMP Scripting Language provides novice scripters with a resource that helps them go beyond the basics of the JMP Scripting Language (JSL) and serves as a companion to writing applications. Taking a task-oriented approach rather than focusing on showing the syntax, the authors help users with much more than the basic task of capturing a script. The book starts with an introduction that is suitable for someone who is just beginning to learn JSL. It quickly moves to importing and saving data, working with variables, modifying data tables, and working with JMP data structures (lists, matrices, and associative arrays). Later chapters deal with JMP output, communicating with users, and customizing displays. The last two chapters cover writing flexible code and include several tips that help solve problems with which novice users often struggle.
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JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition
Publication Date: May 3, 2013
ISBN-10: 1612906036 | ISBN-13: 978-1612906034
Edition: 2
Description:
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 suitable for publication, perform a wide range of JMP analyses, interpret the results, and more.
Topics include
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screening data for errors
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selecting subsets
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computing the coefficient alpha reliability index (Cronbach's alpha) for a multiple-item scale
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performing bivariate analyses for all types of variables
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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.
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Preliminary Edition of Statistics: Learning from Data (with Printed Access Card for JMP)
Publication Date: January 1, 2013
ISBN-10: 1285049365 | ISBN-13: 978-1285049366
Edition: 1
Description:
STATISTICS: LEARNING FROM DATA, by respected and successful author Roxy Peck, resolves common problems faced by learners of elementary statistics with an innovative approach. Peck tackles the areas learners struggle with most--probability, hypothesis testing, and selecting an appropriate method of analysis--unlike any book on the market. Probability coverage is based on current research that shows how users best learn the subject. Two unique chapters, one on statistical inference and another on learning from experiment data, address two common areas of confusion: choosing a particular inference method and using inference methods with experimental data. Supported by learning objectives, real-data examples and exercises, and technology notes, this brand new book guides readers in gaining conceptual understanding, mechanical proficiency, and the ability to put knowledge into practice.
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JMP Means Business: Statistical Models for Management
Publication Date: June 30, 2010
ISBN-10: 1599942992 | ISBN-13: 978-1599942995
Description:
JMP Means Business: Statistical Models for Management, by Josef Schmee and Jane Oppenlander, covers basic methods and models of classical statistics. Designed for business and MBA students, as well as industry professionals who need to use and interpret statistics, JMP Means Business covers data collection, descriptive statistics, distributions, confidence intervals and hypothesis tests, analysis of variance, contingency tables, simple and multiple regression, and exponential smoothing of time series. The easy-to-use format includes verbal and graphical explanations and promotes standard problem-solving techniques, with a limited use of formulas. Examples from business and industry serve to introduce each topic. Each example starts with a problem definition and data requirements, followed by a step-by-step analysis with JMP. Relevant output from this analysis is used to explain each method and to provide the basis for interpretation. Each chapter ends with a summary and a collection of problems for further study.
See the JMP Website for more details: www.jmp.com
For more information:
Hans de Roos
(012) 346 4823
We do not generally keep these books in stock but you are welcome to inquire.
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