
CBEE Club hosts JMP Statistical Software presentation Jan 21st 6-7pm KEC 1001/hybrid option - Food provided Register in Handshake<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Foregonstate.joinhandshake.com%2Fevents%2F1677442%2Fshare_preview&data=05%7C02%7CCbee-jobs%40engr.oregonstate.edu%7C343f33c6adb841f311a808dd37098d75%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638727236363459802%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=oKMGnDZDrK1PEZlE7wAm5BSmLRG%2B6T%2FUNWLBq2DBGl0%3D&reserved=0> Introduction to JMP(r) Statistical Software for Chemical Engineering Applications A Statistical Scientist from JMP(r) will provide an introductory presentation on using JMP. Topics will include: Importing and preparing data for analysis * Exploring univariate and multidimensional data through interactive visualizations * Peforming comparative statistical analyses to determine impact a factor has on a response * Statistical models for describing relationships and predicting outcomes * Introduction to designing and analyzing experiments * Techniques for understanding highly dimensional data JMP(r) is an easy-to-use, standalone statistics and graphics software developed by SAS Institute. It includes comprehensive capabilities for every academic field, and its interactive point-and-click interface and linked analyses and graphics make it ideal for research and for use in the classroom, from the introductory to the advanced levels. JMP(r) runs on Windows and Macintosh operating systems and also functions as an interface to SAS(r), R, Python, MATLAB and Excel. JMP(r) is available for free to all faculty and students. Download at jmp.com/student<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.jmp.com%2Fen_us%2Facademic%2Fjmp-student-edition.html%3Futm_source%3Dstudent%26utm_medium%3Dredirect&data=05%7C02%7CCbee-jobs%40engr.oregonstate.edu%7C343f33c6adb841f311a808dd37098d75%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638727236363662330%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=7jmJKCdm4ypcqCt9qSCesvOynDOIlscQ3hxg4nhaxN8%3D&reserved=0>. Presented by: Kevin Potcner is a statistical scientist from JMP Statistical Discovery Software. His primary function is to support the academic community in the use of JMP in teaching and research. He has 25+ years of consulting and teaching experience guiding engineers, scientists, and business professionals in data-driven decision making. Kevin has worked in a wide range of industries including automotive, biotech, chemical, consumer goods, healthcare, financial services, food & beverage, medical device, pharmaceutical, semiconductor, among others. Kevin has held teaching positions at The Rochester Institute of Technology, University of Florida, University of San Francisco, California State University - Fullerton, and California Science & Technology University. Kevin holds a BS in Printing Sciences and an MS in Applied Statistics both from The Rochester Institute of Technology. Josefine Fleetwood (She/Her), Employer Relations Manager Oregon State University | College of Engineering School of Chemical, Biological and Environmental Engineering School of Nuclear Science and Engineering Department of Biological and Ecological Engineering 116 Johnson Hall - Room 112 541-737-7286 Josefine.fleetwood@oregonstate.edu<mailto:Josefine.fleetwood@oregonstate.edu>