JMP offers a variety of ways to interactively examine and model the relationship between an output variable (response) and one or more input variables (factors). It also offers tools for explanatory modeling to determine which variables help explain a response. See how to: Identify and interpret statistics for the distribution of data, including 1-sample t-test, capability and tolerance interval...
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Designed experiments are powerful, structured tests that reveal how your factors truly drive the responses you care about. Using Easy DOE Guided Mode, you can build and explore experiments effortlessly using an intuitive sequence of tabs, interactive profilers, and automated reports. Whether you're new to DOE or a seasoned pro, this session will give you tools to explore your processes, make infor...
Do you find yourself repeatedly performing the same data analysis steps—importing, cleaning, transforming, and visualizing—every time you receive new data? Are you looking for a way to make your analyses consistent, reproducible, and easier to share with your team—without writing code? Do you want to automate and streamline your analysis process, enabling you to focus more on insight? See how to: ...
When the data you need to analyze resides in a database, JMP provides point-and-click tools to retrieve that data simply, flexibly, and repeatably. See how to: Connect to databases via ODBC.Use the point-and-click Query Builder to import tables and perform more complex queries.Give your users the ability to specify time ranges or other subset criteria for database pulls.Connect to other data sourc...
JMP lets you identify vulnerabilities and make reliability lifetime predictions on your products and components. See how to analyze non-repairable systems. See how to: Understand the kinds of problems are addressed by reliability tools.Consider issues addressed by reliability analysis.Understand censoring used in analysis.Plan the test.Analyze reliability with or without multiple failure causes.A...
Model validation, a method of determining if a predictive model is generalizable to new data, is critical when using models to help make decisions. Data can be partitioned into sets before modeling to avoid overfitting. Part of the original data is used to estimate parameters and the rest of the data is used to tune or evaluate the parameters. JMP Pro incorporates validation into some of its model...
A process that is off target, too variable or out of control can result in delays, rework, or defects, which in turn often lead to higher costs and unsatisfied customers. Because of this, it’s important to understand and quantify the sources of variation within a process. See how to: Distinguish between common cause and special cause variationAssess the health of a process, whether it’s for a few ...
Graph Builder makes it easy to interactively add map images and boundaries to graphs to give visual context to geospatial data and integrate them into your analyses. You can also create custom files that map locations, product designs and other forms that contain locations relevant to understanding the quality of your product or process. See how to: Use map shapes built into JMPUse latitude and l...
EMEA Mastering JMP in English Gain analytical speed: develop an experimental strategy for maximum impact. Master the basics of design of experimentsLearn from previous trials with Bayesian optimizationWhich approach to use, and when?
Accelerated Life Testing (ALT) is required to evaluate product reliability for parts that need to perform well for long periods. Due to low failure rates at use conditions, parts must be tested at high stress levels in order to generate failures in a reasonable amount of time. Devices requiring such reliability analyses include medical devices, semiconductor circuits, aviation equipment and more....