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...
JMPyFacade: Bridging JMP and Python for Seamless Engaging Analysis Presenter: Jarmo Hirvonen (Murata) We invite you to attend an insightful overview of latest Discovery Summit Poster Presentation from Jarmo Hirvonen. You can watch the poster in advance by clicking here. Following the overview, we'll have a lively discussion where you can share your thoughts and ask questions. Register here
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...
Do you need to make sense of sensor or other sequential measurement data where the responses are not single points, but a range of points presented as curves? Do you need to use that data to predict the likelihood of a system failure or maintain consistent power quality for a renewable energy or other systems? Would you like examples of how to use software to analyze the impact of, and interaction...
Jump into Graphing
Date: Wednesday, September 24
Time: 1:00 – 2:30 p.m. ET
Duration: 90 minutes
Registration: FREE
Hosted via Zoom
This online workshop is designed for any JMP user with an interest in data visualization. Only minimal experience in JMP (opening files, using menus, etc.) is required. Attendees learn about common graphs, principles of good graphs, and what to avoid.
Register now!
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Jump into Gauge Studies
Date: Wednesday, October 15
Time: 1:00 – 2:30 p.m. ET
Duration: 90 minutes
Registration: FREE
Hosted via Zoom
This online workshop is designed for intermediate to advanced users with at least one year of JMP experience who would like to dive deeper into quality. Attendees learn the basics of measurement system analysis.
Register now!
If you have any questions about thi...
Jump Start with JMP®
Date: Wednesday, November 5
Time: 1:00 – 2:30 p.m. ET
Duration: 90 minutes
Registration: FREE
Hosted via Zoom
This online workshop is for beginning JMP users. Learn how to explore and work with data in JMP through demonstrations and hands-on practices. Topics include importing data from Excel, graphical data exploration, data clean-up and manipulation, and automating processe...
Jump into Control Charting
Date: Wednesday, December 3
Time: 1:00 – 2:30 p.m. ET
Duration: 90 minutes
Registration: FREE
Hosted via Zoom
This online workshop is designed for intermediate to advanced users with at least one year of JMP experience who would like to dive deeper into quality. Attendees learn the basics of statistical process control.
Register now!
If you have any questions about ...
Jump into DOE
Date: Wednesday, December 10
Time: 1:00 – 2:30 p.m. ET
Duration: 90 minutes
Registration: FREE
Hosted via Zoom
This workshop is designed for intermediate to advanced JMP users who are familiar with basic statistical modeling (ANOVA and regression) and are interested in learning about design of experiments (DOE) in JMP. Attendees gain a deeper understanding of DOE through demonstrati...
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...
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...
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...
多くあるパラメータから特性値に影響を及ぼす要因はどれなのか？その要因はどれぐらい効果があるのか？ 収集されたデータを使って、要因分析をどのようにおこなっていくのかを説明するセミナーです。 目次 Part1. 要因分析の概要 Part2. 要因探索のフロー Part3. 要因探索における分析手法 Part4. JMPを使った要因探索の実施例 ※本セミナーは、2023年12月に実施したWebセミナー「JMP製品を用いた探索的な要因分析と予測」の内容をもとに、オンデマンド用に再構成したものです。 ※JMP 18.2を用いています。 Part1. 要因分析の概要（13分23秒） (view in My Videos) Part2. 要因探索のフロー（5分4秒） (view in My Videos) Part3. 要因探索における分析手法（16分33秒） (vie...
Helper Functions for Exploratory Data Analysis Presenter: Holger Specht (ams-OSRAM International GmbH) Data visualization with JMP is like navigating through a maze – both involve finding clarity through complexity. But with JMP, you’re not just solving a puzzle, you’re unlocking a whole new level of insights with data visualization and interactive features. Isn’t it cool how data can guide us t...
Video using JMP Pro18 was posted in May 2025. 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 te...
「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...
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 ...
Déverrouiller la puissance avancée de Graph Builder Graph Builder offre une interface de glisser-déposer avec des zones, des options de graphique facilement sélectionnables, des filtres interactifs et diverses façons de visualiser les statistiques de base de vos données. Vous pouvez changer le type de graphique, superposer plusieurs types de graphiques, afficher et rapporter plusieurs variables Y ...
Get JMP software free for academic use at jmp.com/student The American Statistical Association’s Guidelines for Assessment and Instruction in Statistics Education (GAISE) recommend that introductory statistics courses introduce students to multivariable thinking: reasoning about relationships between more than two variables. The JMP Student Edition’s interactive and visual tools can help stud...
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 ...