JMP Start Statistics

Author: John Sall
Publisher: SAS Institute
ISBN: 1629608769
Format: PDF, Docs
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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.

Building Better Models with JMP Pro

Author: Jim Grayson
Publisher: SAS Institute
ISBN: 1629599565
Format: PDF, Kindle
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Building Better Models with JMP® Pro provides an example-based introduction to business analytics, with a proven process that guides you in the application of modeling tools and concepts. It gives you the "what, why, and how" of using JMP® Pro for building and applying analytic models. This book is designed for business analysts, managers, and practitioners who may not have a solid statistical background, but need to be able to readily apply analytic methods to solve business problems. In addition, this book will greatly benefit faculty members who teach any of the following subjects at the lower to upper graduate level: predictive modeling, data mining, and business analytics. Novice to advanced users in business statistics, business analytics, and predictive modeling will find that it provides a peek inside the black box of algorithms and the methods used. Topics include: regression, logistic regression, classification and regression trees, neural networks, model cross-validation, model comparison and selection, and data reduction techniques. Full of rich examples, Building Better Models with JMP Pro is an applied book on business analytics and modeling that introduces a simple methodology for managing and executing analytics projects. No prior experience with JMP is needed. Make more informed decisions from your data using this newest JMP book.

Visual Six Sigma

Author: Ian Cox
Publisher: John Wiley & Sons
ISBN: 1119222257
Format: PDF, Mobi
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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.

JMP for Basic Univariate and Multivariate Statistics

Author: Ann Lehman
Publisher: SAS Institute
ISBN: 1612906036
Format: PDF, ePub, Docs
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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.

Ein sizilianischer Sommer

Author: Elizabeth McGregor
Publisher: BASTEI LÜBBE
ISBN: 3838757467
Format: PDF, Mobi
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Gerade als der Schriftsteller Nick erste Erfolge feiert, erfährt seine Frau Zeph, dass ihr Mann sie betrogen hat. Zeph ist am Boden zerstört und verlässt Nick. Sie zieht mit ihrem kleinen Sohn zu ihrer Mutter Cora, um dort Abstand zu gewinnen. Dort findet sie ein altes sizilianisches Tagebuch, das von einer romantischen Liebe erzählt, von der heimlichen Liebe ihrer Mutter zu einem sizilianischen Dichter. Zeph sieht ihre Vergangenheit nun in einem neuen Licht und muss sich bald fragen: Wie sehr können wir den Menschen trauen, die wir lieben?

Data Management and Analysis Using JMP

Author: Jane E Oppenlander
Publisher: SAS Institute
ISBN: 1629605409
Format: PDF, Mobi
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A holistic, step-by-step approach to analyzing health care data! Written for both beginner and intermediate JMP users working in or studying health care, Data Management and Analysis Using JMP: Health Care Case Studies bridges the gap between taking traditional statistics courses and successfully applying statistical analysis in the workplace. Authors Jane Oppenlander and Patricia Schaffer begin by illustrating techniques to prepare data for analysis, followed by presenting effective methods to summarize, visualize, and analyze data. The statistical analysis methods covered in the book are the foundational techniques commonly applied to meet regulatory, operational, budgeting, and research needs in the health care field. This example-driven book shows practitioners how to solve real-world problems by using an approach that includes problem definition, data management, selecting the appropriate analysis methods, step-by-step JMP instructions, and interpreting statistical results in context. Practical strategies for selecting appropriate statistical methods, remediating data anomalies, and interpreting statistical results in the domain context are emphasized. The cases presented in Data Management and Analysis Using JMP use multiple statistical methods. A progression of methods--from univariate to multivariate--is employed, illustrating a logical approach to problem-solving. Much of the data used in these cases is open source and drawn from a variety of health care settings. The book offers a welcome guide to working professionals as well as students studying statistics in health care-related fields.

Analyzing and Interpreting Continuous Data Using JMP

Author: José G. Ramírez
Publisher: SAS Institute
ISBN: 1599948818
Format: PDF, ePub, Mobi
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Annotation Based on real-world applications, Analyzing and Interpreting Continuous Data Using JMP: A Step-by-Step Guide, written by Jose Ramirez and Brenda Ramirez, combines statistical instructions with a powerful and popular software platform to solve common problems in engineering and science. In the many case studies provided, the authors clearly set up the problem, explain how the data were collected, show the analysis using JMP, interpret the output in a user-friendly way, and then draw conclusions and make recommendations. This step-by-step format enables users new to statistics or JMP to learn as they go, but the book will also be helpful to those with some familiarity with statistics and JMP.

Statistical Analysis for Business Using JMP

Author: Willbann D. Terpening
Publisher: SAS Institute
ISBN: 1607644282
Format: PDF, Kindle
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Statistical Analysis for Business Using JMP: A Student's Guide by Willbann D. Terpening is a complete and thorough introduction to business statistics using JMP. While the book is designed for introductory business statistics courses at the undergraduate or MBA level, industry professionals wanting to brush up on their knowledge of statistics and those wanting an introduction to using JMP for statistical analysis will also find it useful. The book starts with an introduction to using JMP in statistical analysis, basic descriptive statistics and graphical analysis, and the fundamentals of inferential statistics. It then covers more advanced topics in inferential statistics organized around the analysis platforms of JMP. Topics include the effects of a qualitative variable on a quantitative variable (two group tests and analysis of variance), the effects of a qualitative variable on a qualitative variable (chi-square and contingency tables), the effects of a quantitative variable on a quantitative variable (simple regression and correlation), and the effects of a quantitative variable on a qualitative variable (logistic and multinomial regression). The final chapter provides an introduction to multivariate statistics and multiple regression.

JMP 8 Statistics and Graphics Guide

Author: SAS Institute
Publisher: SAS Institute
ISBN: 1599949237
Format: PDF, Kindle
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The JMP 8 Statistics and Graphics Guide documents the JMP 8 statistical platforms, overviews statistical methods, and describes JMP 8 report windows and options. This two-volume set covers univariate analysis, capability analyses, model fitting, bivariate scatterplot, one-way ANOVA, contingency tables analysis, simple logistic regression, paired data, standard least squares, generalized linear models, stepwise and logistic regression, nonlinear regression, multiple response fitting, analyzing screening designs, correlations and multivariate techniques, principal components, clustering, partial least squares, neural nets, categorical response analysis, choice modeling, discriminant analysis, lifetime distribution, reliability and survival analysis, recurrence analysis, recursive partitioning, time series analysis, Gaussian processes, item response theory, and more. Also included are instructions for using charts overlay plots, interactive data visualization, surface and contour plots, control charts, variability charts, Ishikawa diagrams, bubble plots, three-dimensional scatterplots, scatterplot matrices, Pareto plots, ternary plots, tree maps, and more.