| Segment | Description | Who's On Air |
|
Welcome |
The Monologue | |
| Featured Program |
In this episode of Meet the Author, Anne Milley interviews world-renowned behavioral scientist Vic Strecher. A professor at the University of Michigan School of Public Health and Director for Innovation and Social Entrepreneurship, Vic shares with us the incredible physical and mental benefits of living a life of purpose, especially important in today’s COVID-19 era. Drawing from personal experience, his extensive research, and his book. Life on Purpose: How Living for What Matters Most Changes Everything, Vic also discusses how to set goals around the things that matter most in our lives and strategies for bringing full energy to fuel your purpose. A 30-year user of JMP, Vic concludes with commentary around the critical role statistical analysis plays in his work.
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@anne_milley |
| Resource Spotlight |
Did you know that JMP offers not one, not two, but three blogs to expand your knowledge of JMP and other data analysis topics? In this episode of Resource Spotlight, Customer Care Manager Jeff Perkinson is joined by JMP Social Media Manager Arati Mejdal to give you an extensive tour of the JMP blog site. Part of the JMP Community, the site includes JMPer Cable, a technical blog for JMP users of all levels; the JMP Blog, covering a broad range of data-inspired topics; and JMP Challenge, a new blog dedicted to scripting challenges. Dive in!
|
@Jeff_Perkinson |
| Ask the Data Doctor |
Brady Brady, AKA the Data Doctor, is back to talk about all things Recode. A great tool for cleaning up messy data, Brady gives us a detailed look at the Recode platform in JMP 15. In addition to high-level discussions of some common Recode tasks, Brady hits on some lesser known and advanced features of the tool.
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@brady_brady |
| Have You Tried |
Frequently, raw data is coded in a non-informative way. For example, a person's gender might be coded with an M for male and an F for female. In this episode of Have You Tried, JMP’s Ryan DeWitt shows us how to use the Value Labels option to apply new values, preview and apply more useful labels to your reports and visualizations.
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@ryandewitt |
| Featured Program |
Combinatorial Testing: Using covering arrays to validate software systems While most break room conversations revolve around current events or the latest family drama, Research Statistician Developers Ryan Lekivetz and his colleague, Joseph Morgan, can’t stop talking about arrays. In this featured presentation, Ryan Lekivetz, part of SAS’ DOE team, explains the use of covering arrays as an experimental design for validating software systems. Ryan introduces a number of ways of efficiently testing complex engineered systems… to force a fault to induce a failure. Critically important in software, the concepts apply to any industry where an efficient, disciplined approach to testing is critical.
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@joseph_morgan |
| Stats Snack |
Chelsea Parlett presents P-values In this episode of Stat Snack, Chelsea Parlett-Pelleriti, a PhD student in Computation and Data Science at Chapman University and a regular contributor to the JMP Community, introduces us to the 3 P’s of P-Value. Learn what a P-value tells you about probability, how it can be a little perplexing, and how, while useful, can sometimes give you only part of the picture.
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@Chelsea-Parlett |
| JMP In Action |
In this JMP in Action segment, JMP Systems Engineer Robert Anderson takes us through two alternative approaches to optimizing a process or product: maximized designability and simulation experiment. First, Robert demonstrates how to build a model and to view and manipulate it within the Predication Profiler. Next, Robert show you how JMP can run a series of simulations on critical factors to allow you to identify the settings that minimize the defect rate. Finally, should you want to try simulation experiments on your own, Robert shares where to go to get more information.
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@robert_anderson |
| Tip of the Day |
Organizing a Messy Data Table with Groups Though we hate to admit it, sometimes our data tables can be downright messy. Fortunately, with JMP you can easily organize a messy data table with Groups. In this Tip of the Day, Pete and Mary show you how you can quickly highlight and name related columns to clean up your data. You’ll also see how to enable the “Lock Data Table” function to secure your data, should you wish to share it with others.
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@Peter_Hersh |
| Closing | The Last 5 | @julian |