Statistics With Jmp

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Statistics with JMP

Author : Peter Goos,David Meintrup
Publisher : John Wiley & Sons
Page : 370 pages
File Size : 47,8 Mb
Release : 2015-05-04
Category : Mathematics
ISBN : 9781119035701

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Statistics with JMP by Peter Goos,David Meintrup Pdf

Peter Goos, Department of Statistics, University of Leuven, Faculty of Bio-Science Engineering and University of Antwerp, Faculty of Applied Economics, Belgium David Meintrup, Department of Mathematics and Statistics, University of Applied Sciences Ingolstadt, Faculty of Mechanical Engineering, Germany Thorough presentation of introductory statistics and probability theory, with numerous examples and applications using JMP JMP: Graphs, Descriptive Statistics and Probability provides an accessible and thorough overview of the most important descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. The authors distinguish their approach from many modern textbooks on descriptive statistics and probability theory by offering a combination of theoretical and mathematical depth, and clear and detailed explanations of concepts. Throughout the book, the user-friendly, interactive statistical software package JMP is used for calculations, the computation of probabilities and the creation of figures. The examples are explained in detail, and accompanied by step-by-step instructions and screenshots. The reader will therefore develop an understanding of both the statistical theory and its applications. Traditional graphs such as needle charts, histograms and pie charts are included, as well as the more modern mosaic plots, bubble plots and heat maps. The authors discuss probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions, and the exponential, normal and lognormal densities. They use numerous examples throughout to illustrate these distributions and densities. Key features: Introduces each concept with practical examples and demonstrations in JMP. Provides the statistical theory including detailed mathematical derivations. Presents illustrative examples in each chapter accompanied by step-by-step instructions and screenshots to help develop the reader’s understanding of both the statistical theory and its applications. A supporting website with data sets and other teaching materials. This book is equally aimed at students in engineering, economics and natural sciences who take classes in statistics as well as at masters/advanced students in applied statistics and probability theory. For teachers of applied statistics, this book provides a rich resource of course material, examples and applications.

JMP Start Statistics

Author : John Sall,Mia L. Stephens,Ann Lehman,Sheila Loring
Publisher : SAS Institute
Page : 660 pages
File Size : 50,7 Mb
Release : 2017-02-21
Category : Computers
ISBN : 9781629608761

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JMP Start Statistics by John Sall,Mia L. Stephens,Ann Lehman,Sheila Loring Pdf

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 Start Statistics

Author : John Sall,Ann Lehman
Publisher : Duxbury Resource Center
Page : 0 pages
File Size : 45,8 Mb
Release : 1996
Category : Comptuer graphics
ISBN : 0534265650

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JMP Start Statistics by John Sall,Ann Lehman Pdf

This complete data-analysis program combines outstanding graphics and amazing data analytics. JMP-IN's spreadsheets, data tables, and graphing capabilities are designed to help the student learn important statistics concepts while it handles all calculations.

Analyzing and Interpreting Continuous Data Using JMP

Author : José G.. Ramírez,Brenda S.. Ramírez,Sas Institute
Publisher : SAS Press
Page : 474 pages
File Size : 50,6 Mb
Release : 2009
Category : Computers
ISBN : 159994488X

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Analyzing and Interpreting Continuous Data Using JMP by José G.. Ramírez,Brenda S.. Ramírez,Sas Institute Pdf

Based on real-world applications, this resource combines statistical instructions with a powerful and popular software platform to solve common problems in engineering and science. This step-by-step format enables users new to statistics or JMP to learn as they go.

Biostatistics Using JMP

Author : Trevor Bihl
Publisher : SAS Institute
Page : 356 pages
File Size : 40,9 Mb
Release : 2017-10-03
Category : Computers
ISBN : 9781635262414

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Biostatistics Using JMP by Trevor Bihl Pdf

Analyze your biostatistics data with JMP! Trevor Bihl's Biostatistics Using JMP: A Practical Guide provides a practical introduction on using JMP, the interactive statistical discovery software, to solve biostatistical problems. Providing extensive breadth, from summary statistics to neural networks, this essential volume offers a comprehensive, step-by-step guide to using JMP to handle your data. The first biostatistical book to focus on software, Biostatistics Using JMP discusses such topics as data visualization, data wrangling, data cleaning, histograms, box plots, Pareto plots, scatter plots, hypothesis tests, confidence intervals, analysis of variance, regression, curve fitting, clustering, classification, discriminant analysis, neural networks, decision trees, logistic regression, survival analysis, control charts, and metaanalysis. Written for university students, professors, those who perform biological/biomedical experiments, laboratory managers, and research scientists, Biostatistics Using JMP provides a practical approach to using JMP to solve your biostatistical problems.

Statistics and Probability with Applications for Engineers and Scientists

Author : Bhisham C. Gupta,Irwin Guttman
Publisher : John Wiley & Sons
Page : 896 pages
File Size : 44,7 Mb
Release : 2013-04-29
Category : Mathematics
ISBN : 9781118464045

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Statistics and Probability with Applications for Engineers and Scientists by Bhisham C. Gupta,Irwin Guttman Pdf

Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.

Practical Data Analysis with JMP, Third Edition

Author : Robert Carver
Publisher : SAS Institute
Page : 510 pages
File Size : 55,7 Mb
Release : 2019-10-18
Category : Computers
ISBN : 9781642956122

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Practical Data Analysis with JMP, Third Edition by Robert Carver Pdf

Master the concepts and techniques of statistical analysis using JMP Practical Data Analysis with JMP, Third Edition, highlights the powerful interactive and visual approach of JMP to introduce readers to statistical thinking and data analysis. It helps you choose the best technique for the problem at hand by using real-world cases. It also illustrates best-practice workflow throughout the entire investigative cycle, from asking valuable questions through data acquisition, preparation, analysis, interpretation, and communication of findings. The book can stand on its own as a learning resource for professionals, or it can be used to supplement a college-level textbook for an introductory statistics course. It includes varied examples and problems using real sets of data. Each chapter typically starts with an important or interesting research question that an investigator has pursued. Reflecting the broad applicability of statistical reasoning, the problems come from a wide variety of disciplines, including engineering, life sciences, business, and economics, as well as international and historical examples. Application Scenarios at the end of each chapter challenge you to use your knowledge and skills with data sets that go beyond mere repetition of chapter examples. New in the third edition, chapters have been updated to demonstrate the enhanced capabilities of JMP, including projects, Graph Builder, Query Builder, and Formula Depot.

Market Data Analysis Using JMP

Author : Walter R. Paczkowski
Publisher : SAS Institute
Page : 378 pages
File Size : 47,5 Mb
Release : 2016-12-19
Category : Computers
ISBN : 9781629604879

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Market Data Analysis Using JMP by Walter R. Paczkowski Pdf

With the powerful interactive and visual functionality of JMP, you can dynamically analyze market data to transform it into actionable and useful information with clear, concise, and insightful reports and displays. Market Data Analysis Using JMP is a unique example-driven book because it has a specific application focus: market data analysis. A working knowledge of JMP will help you turn your market data into vital knowledge that will help you succeed in a highly competitive, fast-moving, and dynamic business world. This book can be used as a stand-alone resource for working professionals, or as a supplement to a business school course in market data research. Anyone who works with market data will benefit from reading and studying this book, then using JMP to apply the dynamic analytical concepts to their market data. After reading this book, you will be able to quickly and effortlessly use JMP to: prepare market data for analysis use and interpret sophisticated statistical methods build choice models estimate regression models to turn data into useful and actionable information Market Data Analysis Using JMP will teach you how to use dynamic graphics to illustrate your market data analysis and explore the vast possibilities that your data can offer!

Fundamentals of Predictive Analytics with JMP, Second Edition

Author : Ron Klimberg,B. D. McCullough
Publisher : SAS Institute
Page : 532 pages
File Size : 50,8 Mb
Release : 2017-12-19
Category : Mathematics
ISBN : 9781629608013

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Fundamentals of Predictive Analytics with JMP, Second Edition by Ron Klimberg,B. D. McCullough Pdf

Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions from data and models, this updated and expanded second edition of Fundamentals of Predictive Analytics with JMP(R) bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the theoretical foundation, this book gives you the technical knowledge and problem-solving skills that you need to perform real-world multivariate data analysis. First, this book teaches you to recognize when it is appropriate to use a tool, what variables and data are required, and what the results might be. Second, it teaches you how to interpret the results and then, step-by-step, how and where to perform and evaluate the analysis in JMP . Using JMP 13 and JMP 13 Pro, this book offers the following new and enhanced features in an example-driven format: an add-in for Microsoft Excel Graph Builder dirty data visualization regression ANOVA logistic regression principal component analysis LASSO elastic net cluster analysis decision trees k-nearest neighbors neural networks bootstrap forests boosted trees text mining association rules model comparison With today’s emphasis on business intelligence, business analytics, and predictive analytics, this second edition is invaluable to anyone who needs to expand his or her knowledge of statistics and to apply real-world, problem-solving analysis. This book is part of the SAS Press program.

Practical Data Analysis with JMP

Author : Robert Carver,SAS Institute
Publisher : SAS Press
Page : 0 pages
File Size : 46,7 Mb
Release : 2010
Category : JMP (Computer file)
ISBN : 1607644754

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Practical Data Analysis with JMP by Robert Carver,SAS Institute Pdf

"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 or be used to supplement a standard introduction-to-statistics textbook.

JMP Start Statistics

Author : John Sall,Lee Creighton,Ann Lehman
Publisher : Duxbury Resource Center
Page : 0 pages
File Size : 41,6 Mb
Release : 2005
Category : Computer graphics
ISBN : 0534997473

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JMP Start Statistics by John Sall,Lee Creighton,Ann Lehman Pdf

The third edition of this guide to using JMP statistical software, and its student version, JMP IN, is updated to feature version 5.1 of JMP IN, and contains a rewritten chapter on Time Series, focusing on ARIMA models. There are also more exercises for this edition. The book is a mix of software manual and statistics text, and can be used as a teaching text and as a supplement to a standard statistical text. A few of the techniques covered are not found in most introductory courses but are accessible using JMP IN, such as logistic regression and correspondence analysis. Sall is affiliated with SAS Institute. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com).

Elementary Statistics Using JMP

Author : Sandra D. Schlotzhauer
Publisher : SAS Press
Page : 458 pages
File Size : 46,7 Mb
Release : 2007
Category : Computers
ISBN : 1599943751

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Elementary Statistics Using JMP by Sandra D. Schlotzhauer Pdf

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.

Data Management and Analysis Using JMP

Author : Jane E Oppenlander,Patricia Schaffer
Publisher : SAS Institute
Page : 250 pages
File Size : 52,5 Mb
Release : 2017-10-17
Category : Computers
ISBN : 9781629605401

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Data Management and Analysis Using JMP by Jane E Oppenlander,Patricia Schaffer Pdf

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.

Preparing Data for Analysis with JMP

Author : Robert Carver
Publisher : SAS Institute
Page : 216 pages
File Size : 41,9 Mb
Release : 2017-05-01
Category : Computers
ISBN : 9781635261486

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Preparing Data for Analysis with JMP by Robert Carver Pdf

Access and clean up data easily using JMP®! Data acquisition and preparation commonly consume approximately 75% of the effort and time of total data analysis. JMP provides many visual, intuitive, and even innovative data-preparation capabilities that enable you to make the most of your organization's data. Preparing Data for Analysis with JMP® is organized within a framework of statistical investigations and model-building and illustrates the new data-handling features in JMP, such as the Query Builder. Useful to students and programmers with little or no JMP experience, or those looking to learn the new data-management features and techniques, it uses a practical approach to getting started with plenty of examples. Using step-by-step demonstrations and screenshots, this book walks you through the most commonly used data-management techniques that also include lots of tips on how to avoid common problems. With this book, you will learn how to: Manage database operations using the JMP Query Builder Get data into JMP from other formats, such as Excel, csv, SAS, HTML, JSON, and the web Identify and avoid problems with the help of JMP’s visual and automated data-exploration tools Consolidate data from multiple sources with Query Builder for tables Deal with common issues and repairs that include the following tasks: reshaping tables (stack/unstack) managing missing data with techniques such as imputation and Principal Components Analysis cleaning and correcting dirty data computing new variables transforming variables for modelling reconciling time and date Subset and filter your data Save data tables for exchange with other platforms

JMP for Basic Univariate and Multivariate Statistics

Author : Ann Lehman,Norm O'Rourke,Larry Hatcher,Edward Stepanski
Publisher : SAS Institute
Page : 559 pages
File Size : 49,5 Mb
Release : 2013
Category : Computers
ISBN : 9781612906034

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JMP for Basic Univariate and Multivariate Statistics by Ann Lehman,Norm O'Rourke,Larry Hatcher,Edward Stepanski Pdf

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.