LIVE WEBINAR
Modernize Your Statistical Workflows
Date: Thursday, Dec. 3
Time: 2 p.m. ET | 11 a.m. PT
Duration: 30 minutes
Registration: FREE
See familiar statistical workflows through a more interactive lens.
How quickly can data move from initial exploration to informed decisions? The statistical questions may already be clear. The opportunity lies in how data is explored and analyses are connected.
Join this focused 30-minute session for a real-world investigation from start to finish. Explore distributions and variation, assess process performance, compare conditions, and determine what to investigate next.
See how familiar statistical methods work together in an interactive workflow, connecting data exploration with decision making and future study planning.
In this webinar, learn how to:
- Understand distributions, assess normality, and evaluate transformations.
- Monitor process behavior using control charts and capability analysis.
- Evaluate whether conditions are meaningfully different or practically equivalent.
- Plan future studies using power analysis, sample size calculations, and design of experiments (DOE).
Whether evaluating analytical tools or seeking a more connected approach to statistical analysis, this session offers a clearer picture of how familiar workflows translate into a more interactive analytical experience and where new possibilities emerge.
About the Presenter
William Corley,
Senior Associate Systems Engineer
William Corley holds a B.S. in biomedical engineering from the University of North Carolina at Chapel Hill, with a focus on medical devices and imaging. He brings extensive experience in clinical data management, analytics validation, and user acceptance testing, providing a strong foundation for translating complex data into actionable insights. Corley has also contributed to the development of JMP extensions that expand capabilities for exploratory analysis. In his current role, he delivers technical support for JMP, with a particular passion for using data visualization to spur innovation in pharmaceutical and life sciences applications.