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JMP software books
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Elementary Statistics Using JMP
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JMP 7 Documentation Set (4 books) English
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JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fourth Edition
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JMP for Basic Univariate and Multivariate Statistics: A Step-by-Step Guide
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Regression Using JMP
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Measurement, Analysis, and Control Using JMP: Quality Techniques for Manufacturing
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Statistics for Experimenters: Design, Innovation, and Discovery, 2nd Edition
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Elementary Statistics Using JMP
By: Sandra Schlotzhauer, Publisher: SAS Publishing
ISBN: 978-1-59994-375-6
Description:
Learn how to perform basic statistical analyses using the powerful JMP software. This reader-friendly guide 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:
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histograms, box plots, descriptive statistics, stem-and-leaf plots
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mosaic plots, bar charts, and treemaps
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t-tests and Wilcoxon tests to compare two independent or paired groups
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one-way ANOVA and Kruskal-Wallis tests, and selected multiple comparison techniques
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Pearson and Spearman correlation coefficients
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regression models for lines, curves, and multiple variables
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residuals plots and lack-of-fit tests for regression
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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.
Includes a free CD-ROM with the example data sets and JMP tips.
SAS Products and Releases:
JMP software: 7.0, 6.0
Operating Systems: Linux, MACINTOSH, WX64_E, WX64_SV, Windows
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JMP 7 Documentation Set (4 books) English
Publisher: SAS Publishing
ISBN: 978-1-59994-419-7
Description:
This set of documentation for JMP 7 is designed for JMP 7 users and others who are interested in learning in-depth statistics and exploratory data analysis as implemented in JMP. The set includes the following four titles: 1) JMP User Guide provides complete documentation for all JMP menus, an explanation of data table manipulation, and a description of the formula editor. It includes instructions for performing common tasks such as manipulating files, transforming data table columns, and cutting and pasting JMP data, statistical text reports, and graphical displays. 2) JMP Statistics and Graphics Guide documents the JMP 7 statistical platforms, overviews statistical methods, and describes JMP 7 report windows and options. 3) JMP Scripting Guide documents the use of JMP's powerful scripting language. It contains tutorials, examples, a description of the language elements, and programming basics. It also describes how to manipulate data tables, platforms, displays, and matrices using the scripting language. 4) JMP Design of Experiments guide contains information about the JMP Design of Experiments (DOE platform) including JMP's custom designer, screening designs, mixture designs, and more.
SAS Products and Releases:
JMP software: 7.0
Operating Systems: Linux, MACINTOSH, Windows
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JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fourth Edition
By: John Sall, Lee Creighton, and Ann Lehman; Publisher: SAS Press
ISBN: 978-1-59994-572-9
Description:
JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fourth Edition, is a complete and orderly introduction to analyzing data using JMP statistical discovery software from SAS. A mix of software manual and statistics text, this book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use JMP's intuitive interface for data analysis. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises. This book is a great tool for statistics students or practitioners needing a software-related statistics review.
SAS Products and Releases:
JMP software: 7.01, 7.0
Operating Systems: Linux, MACINTOSH, WX64_E, WX64_SV, Windows
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JMP for Basic Univariate and Multivariate Statistics: A Step-by-Step Guide
By: Ann Lehman, Norm O'Rourke, Larry Hatcher, and Edward Stepanski; Publisher: SAS Press
ISBN: 978-1-59047-576-8
Description:
Doing statistics in JMP has never been easier! 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: A Step-by-Step Guide. Clearly written instructions 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, perform a wide range of JMP analyses, interpret the results, and more. Topics include: screening data for errors and selecting subsets with the JMP Distribution platform, 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), performing a multiple regression, and using the JMP Fit Model platform to perform a one-way multivariate analysis of variance (MANOVA). This user-friendly book introduces researchers and students of the social sciences to JMP and to elementary statistical procedures, while more advanced statistical procedures that are presented make it an invaluable reference guide for experienced researchers as well.
SAS Products and Releases:
JMP software: 7.01, 7.0, 6.0, 5.1, 5.01, 5.0
Operating Systems: MACINTOSH, Windows
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Regression Using JMP
By: Rudolf Freund, Ramon Littell, and Lee Creighton; Publisher: SAS Press and John Wiley Sons Inc.
ISBN: 978-1-59047-160-9
Description:
Filled with examples, Regression Using JMP introduces you to the basics of regression analysis using JMP software. You will learn how to perform regression analyses using a wide variety of models, including linear and nonlinear models. Taking a tutorial approach, the authors cover the customary Fit Y by X and Fit Model platforms, as well as the new features and capabilities of JMP Version 5. Output is covered in helpful detail. Thorough discussion of the following is also presented: confidence limits, examples using JMP scripting language, polynomial and smoothing models, regression in the context of linear model methodology, and diagnosis of and remedies for data problems including outliers and collinearity. Statistical consultants familiar with regression analysis and basic JMP concepts will appreciate the conversational, "what to look for" and "what if" scenarios presented. Non-statisticians with a working knowledge of statistical concepts will learn how to use JMP successfully for data analysis.
SAS Products and Releases:
JMP software: 7.01, 7.0, 6.0, 5.1, 5.01, 5.0
Operating Systems: Linux, MACINTOSH, WX64_E, WX64_SV, Windows
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Measurement, Analysis, and Control Using JMP: Quality Techniques for Manufacturing
By: Jack Reece, Publisher: SAS Press
ISBN: 978-1-59047-885-1
Description:
For a manufacturing activity to remain competitive, engineers must rigorously apply statistics methodologies that enable them to understand the sources and consequences of uncontrolled process variation. In this example-rich text, author Jack Reece explains simple comparative statistics and demonstrates how to use JMP to examine raw data graphically and to generate regression models involving fixed and random effects.
The following major topics are addressed:
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Characterizing the measurement process
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Analyzing process performance
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Developing appropriate control mechanisms for monitoring measurement and performance
Although many of the examples rely on case studies, largely in the semiconductor manufacturing area, the principles described and the methods used apply generally to the study of any process or manufacturing activity. This book assumes that the reader has some knowledge of JMP software, but does not assume extensive statistical knowledge.
SAS Products and Releases:
JMP software: 7.0, 6.0
Operating Systems: Linux, MACINTOSH, WX64_E, WX64_SV, Windows
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Statistics for Experimenters: Design, Innovation, and Discovery, 2nd Edition
By: George Box, Stuart Hunter, and William Hunter; Publisher: John Wiley Sons Inc.
ISBN: 978-0-471-71813-0
Description:
Rewritten and updated, this new edition of Statistics for Experimenters adopts the same approaches as the landmark first edition by teaching with examples, readily understood graphics, and the appropriate use of computers. Catalyzing innovation, problem solving, and discovery, the second edition provides experimenters with the scientific and statistical tools needed to maximize the knowledge gained from research data, illustrating how these tools may best be utilized during all stages of the investigative process. The authors' practical approach starts with a problem that needs to be solved and then examines the appropriate statistical methods of design and analysis. Providing even greater accessibility for its users, the second edition is thoroughly revised and updated to reflect the changes in techniques and technologies since the publication of the classic first edition. Among the new topics included are graphical analysis of variance; computer analysis of complex designs; simplification by transformation; hands-on experimentation using response service methods; further development of robust product and process design using split-plot arrangements and minimization of error transmission; introduction to process control; forecasting and time series illustrations demonstrating how multi-response problems can be solved using the concepts of active and inert factor spaces and canonical spaces; and Bayesian approaches to model selection and sequential experimentation. Concepts related to using SAS and JMP are addressed, but examples are not included.
SAS Products and Releases:
JMP software: 7.01, 7.0, 6.0, 5.1, 5.01, 5.0
SAS/STAT: 9.1.3, 9.1.2, 9.1, 9.0, 8.2, 8.1, 8.01, 8.0
Operating Systems: 64-bit Enabled AIX, 64-bit Enabled HP-UX, 64-bit Enabled Solaris, ABI+ for Intel Architecture, AIX, HP-UX, HP-UX IPF, IRIX, Linux, Linux on Itanium, MACINTOSH, Microsoft Windows for IPF, OS/2, OpenVMS Alpha, OpenVMS VAX, Solaris, Solaris for x64, Tru64 UNIX, VM/CMS, WX64_E, WX64_SV, Windows, Windows NT Workstation, z/OS
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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