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...
In biostatistics, survival analysis is a collection of statistical methods for analyzing the time it takes for some event of interest to occur (i.e., time-to-event data). For example, a study of disease progression might assess time to patient mortality or recovery. Survival analysis helps researchers understand how the probability of a biological or medical event changes over time and how that pr...
With the JMP Student Edition, academic researchers get no-cost access to all JMP Pro capabilities, such as Python integration and more advanced tools for building machine learning models. This webinar will demonstrate advanced analytical applications for researchers in Chemistry, Chemical Engineering, Materials Science, and related fields by enhancing JMP Student Edition’s native features with fr...
Do you need to identify routine (common-cause) and abnormal (special cause) process variation over time? Are you tasked with comparing how well a process is performing compared to its given spec limits or after a process is changed? Are you responsible for understanding stability and capability metrics for a large number of processes across time? In this case study we use process information to...
Do you want to uncover patterns and relationships in your data? Do you need to interpret graphs to support decision-making? In this session we show how to: Create, interact with and interpret a variety of graphs.Visually explore multiple variables.Identify key drivers of yield.Track changes over time. Suggested prerequisites: Familiarity with understanding the main attributes of JMP data table...
If there’s one caveat that most of us remember about linear regression, it’s this: Regression assumes normality. More specifically, ordinary least squares regression assumes that the response (aka. dependent) variable follows a normal distribution. But what if our data violate this assumption (e.g., our response variable is highly skewed or consists of only integer values), potentially causing us...
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 survey...
Do you have a complex manufacturing process with many steps and tools that could contribute to poor yield or reduced quality? Do you have historical data about your yields that is tedious or time consuming to analyze and understand? Are you tasked with applying your understanding of your tools and processes to improve future yields? Are you facing production delays with causes that are hard to pi...
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 appli...
Are you responsible for making decisions about chemical processes or products based on large amounts of messy data? Is your data in multiple formats received from samples or from inline or offline laboratory equipment? Do you need to relate measurements made on a chemical system to a state or property of the system? Are you a chemical analyst on a team that needs to assure, improve or match the qu...
「カテゴリカル」プラットフォームでは、アンケートや消費者調査などのさまざまな設問形式(単一回答、複数回答など)に対応した集計、分析を実行できます。 本動画では、ある企業研修に対するアンケートデータ(架空のもの)を用い、「カテゴリカル」を用いて集計、分析する方法を説明します。 ※本動画は、動画作成時点の最新バージョン「JMP 18.2」を用いています。 目次 イントロダクション Part 1. データの準備 Part 2. 「カテゴリカル」を用いた単一回答、複数回答の集計、分析 Part 3. 「カテゴリカル」を用いたクロス集計、グループ間の比較 イントロダクション(4分47秒) (view in My Videos) Part 1. データの準備 (15分36秒) カテゴリカルデータを集計、分析する際に知っておくべきデータの準備方法について説明します。 列に尺度を指定多...
(view in My Videos) Additional Reliability Resources Life Distribution Blog Post Reliability Club
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 distribuciones (3:27)Explorar relaciones (3:06)Generar un tablero (2:04)Guardar y automatizar el trabajo (1:41)Compartir resultados dinámicos (1:53)Publicar resultados (3:18)
Al colocar sus informes en un navegador, usted puede compartir sus resultados con cualquier persona, incluso si ellos no tienen JMP. Aprender más
Aprenda a guardar scripts en una tabla de datos y como exportar a Excel o PowerPoint. Aprender más
Obtenga una imagen completa utilizando el flujo de trabajo completo para crear paneles de control de manera rápida y sencilla. Aprender más
Una vez que aprenda a construir mejores modelos, utilice el perfilador de predicción de JMP para compararlos y contrastarlos. Aprender más
Familiarícese con el menú del triángulo rojo, vea cómo se vinculan los gráficos y las tablas de datos y descubra cómo seleccionar puntos para ocultar/excluir. Aprender más
Aprenda cómo crear y personalizar gráficas y tablas interactivas. Aprender más
Aprenda a importar datos de Excel, modificar las propiedades de las columnas y guardar sus datos en JMP. Aprender más
Video using JMP 18 was posted in May 2025. Are you a subject matter expert with information buried in unstructured text, such as free-response fields from surveys, incident reports, product reviews, or warranty records? Do you want to determine and understand the value and relevancy of patterns found in the text? Do you want to assure you will interpret the text information accurately to add ins...
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 ...
JMP 18 and JMP Pro 18 offer many new capabilities . See a video of some of the key new capabilites and download the Journal to try some of the techniques yourself in JMP 18. Note, for several capabilites you will need JMP Pro 18. Watch the whole video below, or click on titles in the bullet list to see only the segments on the topic in the list. (view in My Videos) See how to use: New capabi...
JMP offers many linear modeling options. See the available Fit Model capabilities and learn when and how to use the ones that are most useful for continuous, categorical and/or complex data sets where there may be more predictors than observations.
(view in My Videos)
See how to:
Understand basic regressionUse Standard Least Squares
Understand that basic assumptions are that response is normal ...