JMP en español - Vídeos cortos
Ver es comprender con JMP. Software estadístico para explorar datos de forma dinámica. Importar datos (3:42) Limpiar datos (5:11) Visualizar y resumir datos (4:02) Explorar distribuci...
Ver es comprender con JMP. Software estadístico para explorar datos de forma dinámica. Importar datos (3:42) Limpiar datos (5:11) Visualizar y resumir datos (4:02) Explorar distribuci...
This activity can stand alone and also is a companion activity to the Mastering JMP session Disentangling and Organizing Wide Data. This hands-on activity allows you to practice using Explore ...
This activity can stand alone and also is a companion activity to the Mastering JMP session Disentangling and Organizing Wide Data. This hands-on activity allows you to practice using...
Attention all Manufacturing Engineers! This is a companion activity to the Mastering JMP session Getting a Handle on Optimizing Day-to-Day Process Manufacturing Operations. &...
Stability analysis and shelf life estimation are common tasks in the pharmaceutical and biotechnology industries. It is a form of degradation analysis. This series illustrates how JMP can be used to ...
Likelihood is seen in many places in JMP reports. But, what does it mean? These videos introduce the likelihood function, and then show how JMP uses the likelihood function for estimation, inference ...
This hands-on activity allows you to practice using Workflow Builder to import data from Excel, reshape the data table in JMP, then build a graph using Graph Builder. The instructions are below and...
Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The ...
Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The ...
Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The ...
Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The ...
Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The ...
Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The ...
Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The ...
This series of videos covers reliability analysis of repairable systems. You'll learn about descriptive and inferential statistics for reliability using both the Recurrence and Reliability Growth pla...
All of the model fits in the JMP Pro Functional Data Explorer platform rely on basis function expansion, a method for capturing non-linear relationships using a set of indepe...
A Wavelet model is a type of basis function model that is useful for data that contain a lot of peaks. This option requires data to be on an evenly spaced grid. If data is not evenly spaced...
This series of videos contain solutions to the capstone practices from Statistical Decisions using ANOVA and Regression. The course data can be found at Statistical Decisions Using ANOVA and Regressi...
This workshop was presented at Discovery Summit Americas 2023 and Discovery Summit Europe 2024. There are nine videos in this deeper dive, both lecture and JMP demonstrations. You can view these in o...
This free recorded course covers stability analysis across product phases. The demonstrations were recorded in an older version of JMP, but the concepts and principles for assessing product stability...
Statistical Thinking for Industrial Problem Solving is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The course is comprise...
High correlation in predictor variables can harm your linear regression model. This problem is called collinearity or multi-collinearity. The first video is an overview of collinearity, ho...
To import from the OSIsoft Pi Server, you must have the PI Web Server deployed and running and the PI Asset Framework installed and configured. See how to open the JMP OSIsoft PI interface...
These hands-on activities allow you to practice building graphs in JMP using Graph Builder. The data files for the activity are in the zip file attached to this post. Extract the data in Graph Builde...
These hands-on activities allow you to practice importing data from Excel into JMP using the Excel Import Wizard. The data files for the activity are in the zip file attached to this post. Extract th...
REGISTER HERE Teaching time series analysis and forecasting involves establishing foundational concepts, such as stationarity and autocorrelation, as well as teaching one or more specific analysis techniques. JMP Student Edition’s interactive time series tools can help you make these concepts and techniques more approachable to students. This webinar will guide you in using JMP Student Edition t...
If you teach with JMP Student Edition, don’t miss JMP’s wide range of freely available teaching resources that you can use to enrich your course. This webinar, the first of a two-part series, reviews several JMP teaching resources and how to use them effectively, including: The Learning Library: A collection of quick video tutorials and one-page guides that teach students how to use JMP (so you...
Video using JMP 19 was posted in October 2025. Do you want to efficiently and interactively explore data to uncover patterns and see relationships between variables? Are you looking for simple, informative graphical reports to start conversations on how to proceed with analyses related to a work or research challenge? Do you seek powerful graphics to summarize findings? Graph Builder is a versati...
Video using JMP 19 was posted in October 2025. Bayesian Optimization accelerates industrial R&D and lowers the barrier to entry. It saves time and resources by learning from observed response values while using the project goals to recommend the settings to test next. See how to use JMP Pro Bayesian optimization tools to go beyond the limitations of traditional DOE, where augmentation is based ...
2025年9月にリリースされた最新バージョン「JMP 19」の新機能を紹介します。 本ページでは、その中から「データテーブル」「インポート・エクスポート」「ユーザーインターフェース」に関する機能を、項目ごとに紹介します。 目次 1. データテーブルの新機能 その1: タグ、フィルタービュー 2. データテーブルの新機能 その2: 列グループ・スクリプトの階層化など 3.「強制する値」列プロパティ : 回答がないカテゴリも表示 4. データコネクタ:さまざまなデータソースに直接接続 5. 画像列をExcelにエクスポート 6. JMPテーマ、ダークモード表示 7. JMP ノートブック 8. JSL、関数 ※注意:本動画は、JMP 19.0.0 で作成しております。今後のバージョンアップによって、操作方法等が変更される可能性があります。 1. データテーブルの新機能 その1...
If you teach with JMP Student Edition, you should be aware of some lesser known features that can help you use the software more effectively with your students. Want to customize the statistical outputs that your students see? Need a better way of sharing JMP files and analyses with the class? This webinar presents tips and tricks for these and other needs that instructors commonly face. Topics...
JMP Student Edition is a full-featured version of JMP statistical software available to faculty, students, and academic researchers at no-cost. If you are looking for statistical software to use in your course, or if you plan to teach with JMP Student Edition and need an overview of the software, then this webinar is for you. Topics include: Why teach with JMP Student Edition?How to access JMP ...
Structural equation modeling (SEM) is a general-purpose modeling framework that is useful for testing theories about complex interrelationships between variables, both observed and latent. For example, SEM could be applied to employee survey data to test competing theories about how motivation, stress, leadership, compensation, and job satisfaction influence one another. While traditionally ap...
In analyzing data from quantitative studies, researchers often run into a common statistical challenge: The observations aren’t independent from one another. For example, if an ecology study is conducted across multiple geographic locations, observations may not be independent due to uncontrolled environmental factors that differed across locations. Or if a survey study involves repeatedly sur...
Get JMP software free for academic use at jmp.com/student Semiconductor engineering is a data intensive process. Engineers need to visualize and analyze vast amounts of data to improve yield, identify and rectify drifts or failures, monitor process health, and more. JMP statistical software, used widely in the semiconductor industry, is a strong tool for teaching students in semiconductor ...
Get JMP software free for academic use at jmp.com/student Design of experiments (DOE) is used extensively in industry to understand cause and effect in complex systems, making DOE a critical skill for the modern science or engineering student. JMP's world-class suite of DOE tools is used extensively in industry, and JMP's visual, no-code interface makes its DOE tools great for teaching, too. ...
Get JMP software free for academic use at jmp.com/student Modern industrial processes can be very complex and require use of statistical quality control (SQC) methods for monitoring process behavior and maintaining outputs within specification. For many engineering students, learning SQC methods is central to preparing for the challenges they will face in their careers. This webinar demonstra...
Get JMP software free for academic use at jmp.com/student Consumer researchers use specialized quantitative methods for understanding consumer preferences and behaviors. In an increasingly data-driven world, students in business and marketing are likely to encounter – or even apply – such methods at some point in their careers. This webinar reviews JMP tools and tips for teaching several cons...
Get JMP software free for academic use at jmp.com/student Real-world data can be highly multivariate, and students in statistics, data science, and the physical and social sciences should be equipped to analyze such data with appropriate multivariate statistical methods. JMP software can make learning multivariate methods more accessible and engaging to students through its interactive, no-co...
Get JMP software free for academic use at jmp.com/student Real-world data can be highly multivariate, and students in statistics, data science, and the physical and social sciences should be equipped to analyze such data with appropriate multivariate analysis methods. JMP statistical software can make multivariate methods more accessible and engaging to students through its interactive, no-co...
Get JMP software free for academic use at jmp.com/student Univariate statistics and probability form a foundation for students' understanding of more complex statistical concepts. This webinar provides the knowledge you need to teach this important topic with JMP. Topics include: Describing variables through graphical and numerical summariesStatistical inference for categorial and continuous ...
Get JMP software free for academic use at jmp.com/student Whether you’re new to teaching with JMP statistical software or you just need a refresher on the fundamentals, this webinar reviews everything you need to know to start teaching with JMP effectively. Topics include: Navigating the JMP interfaceCore graphing and analysis toolsImporting data, saving and sharing resultsJMP Academic’s li...
Get JMP software free for academic use at jmp.com/student JMP and Python are great complements to one another: JMP offers wide data visualization and analysis capabilities in an easy, visual, point-and-click interface, and Python brings a versatile set of additional capabilities. As of JMP 18, users have greatly improved options for integrating Python into their JMP workflow. This webinar rev...
Get JMP software free for academic use at jmp.com/student Following on the previous webinar, Designing and Analyzing Experiments, Pt. 1: An Introduction, this webinar introduces a selection of intermediate and advanced concepts and techniques in the design of experiments (DOE) and how to apply them in JMP. Topics include: Statistically optimal designs that are custom-built to unique experim...
Get JMP software free for academic use at jmp.com/student Design of experiments (DOE) is a foundational statistical skill in science and engineering. Using DOE, researchers can develop efficient plans for collecting data to reveal causal relationships between factors and responses. This webinar, intended for those with little-to-no DOE background, introduces fundamental DOE techniques and how...
Get JMP software free for academic use at jmp.com/student Survey data is ubiquitous in social science, business, and healthcare research, and its analysis poses special considerations and challenges. This webinar reviews fundamental survey analysis techniques and how to implement them in JMP, including: Preparing survey data for analysis (e.g., recoding response levels, handling multiple-res...
Get JMP software free for academic use at jmp.com/student Academic researchers often need to determine whether their quantitative data support certain conclusions. Did the experimental treatment have the predicted effect? Are these two measures correlated with each other? Does the probability of some event or outcome depend on certain factors? A researcher can answer many questions like these...
Get JMP software free for academic use at jmp.com/student JMP 18 and JMP Pro 18 are being released in Spring 2024, bringing a host of new features useful to academics, whether for teaching or research. This webinar provides an overview of new features before demonstrating several in detail, including: An improved new user experience The Columns Manager for easier data management Platform P...
Get JMP software free for academic use at jmp.com/student Each new data set we encounter brings with it the need for initial data exploration. Before building models or running tests, we need to summarize the data numerically and graphically, screen for patterns or anomalies, and ensure that the data are suitable for further analysis. Put more generally, we need to "get to know" our data. In ...