Add-Ons - User Community

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Tuesday, March 9, 2027

Choosing sample size is ultimately a risk management decision, but many practitioners rely on guesswork or rules of thumb. This workshop demystifies sample size and power by breaking calculations into their core components: uncertainty, effect size, risk tolerance, and decision goals. Learn practical strategies for determining inputs, setting acceptable risk, and evaluating tradeoffs across a variety of common testing scenarios. See how these ideas extend beyond simple hypothesis tests to experimental design, including the Power Analysis and Design and Anticipated Responses sections of Custom Design. Workshops are included in the price of your conference registration. Space is limited, so these sessions must be selected during your conference registration to confirm your participation.

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Tuesday, March 9, 2027

JMP is powerful on its own, but it becomes even more powerful when connected to the systems and tools you use every day. In this session, we explore ways to extend JMP beyond the desktop, including database connectors, API endpoint connections, JMP Marketplace extensions, Python integration, and other options for connecting JMP to your broader analytics ecosystem. Learn how to bring more data into JMP, automate workflows, and expand what you can accomplish with JMP. Workshops are included in the price of your conference registration. Space is limited, so these sessions must be selected during your conference registration to confirm your participation.

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Tuesday, March 9, 2027

Choosing a statistical model can feel overwhelming, especially when multiple options appear to “work.” This workshop provides a practical framework for selecting models based on the structure of your data, the question you’re trying to answer, and the decisions you need to make. Through applied examples, we compare common modeling approaches, discuss tradeoffs and assumptions, and focus on interpretation and communication – not just mathematical details. The goal is to help you feel more confident and intentional when modeling real-world data. We cover many model classes, including the JMP and JMP Pro options available from Fit Model, as well as those from the Predictive Modeling, Specialized Modeling, Screening, Multivariate Methods, and Clustering menus. Workshops are included in the price of your conference registration. Space is limited, so these sessions must be selected during your conference registration to confirm your participation. Please note: This workshop primarily uses JMP but shows some (minimal) JMP Pro features. We can provide access to a virtual lab to use on your laptop if you want to try these features but don’t have JMP Pro installed at the time of the workshop.

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Tuesday, March 9, 2027

Many analysts spend more time than necessary repeating common tasks or navigating the interface instead of focusing on insights. This workshop highlights practical ways to streamline your day‑to‑day work by customizing JMP to fit how you analyze data. Topics include platform presets, preferences, custom menus and toolbars, and powerful table operations for data manipulation and cleanup. Participants gain immediately usable tips that reduce friction, save time, and make JMP feel more personal and efficient. Workshops are included in the price of your conference registration. Space is limited, so these sessions must be selected during your conference registration to confirm your participation.

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Tuesday, March 9, 2027

Quality questions often start simply: Is my process stable? How can I summarize all my control charts? Can my process meet specifications? What changes when the response is multivariate? In this hands-on workshop, we connect common quality questions to the JMP platforms best suited to answer them. Rather than treating each platform as a separate tool, we build a practical decision framework for deciding when to use Control Chart Builder, Process Screening, Process Capability, and Multivariate Control Chart. Beginning with a brief review of the role of control charts for monitoring process stability, we then move to process capability. From there, we show how Process Screening can help prioritize many processes at once. The examples used emphasize the thought process behind platform selection, the assumptions each approach makes, and how to communicate results to technical and nontechnical stakeholders. By the end of the workshop, participants will understand how these JMP quality platforms complement one another and will leave with a clearer strategy for moving from exploratory screening to monitoring and capability assessment. Workshops are included in the price of your conference registration. Space is limited, so these sessions must be selected during your conference registration to confirm your participation.

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Tuesday, March 9, 2027

Not sure which DOE approach fits your study, or how to decide on a design? In this workshop, learn how to choose an experimental design based on the question you need to answer, the stage of your process, and the practical constraints you face. We look at common situations: narrowing a long list of possible inputs, confirming which factors really matter, finding settings that improve performance, and planning experiments when some factors are hard to change or resources are limited. Through discussion of key design strategies and hands-on JMP demonstrations, build a practical decision framework for matching DOE methods to real-world problems and leave more confident planning your next experiment. Workshops are included in the price of your conference registration. Space is limited, so these sessions must be selected during your conference registration to confirm your participation.

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