Moving from Minitab to JMP®: A Transition Guide, Version 2

By Kevin Potcner

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Kevin Potcner

JMP Academic Ambassador

Kevin Potcner is an Academic Ambassador for JMP. He has more than 25 years of experience teaching and consulting within industry and academia. In 2000, he began working at Minitab as a full-time employee and consultant; he moved to JMP in 2018. Potcner has held faculty positions at the Rochester Institute of Technology, University of Florida, and University of San Francisco; he is currently an instructor for California State University Data Science program. He holds a BS in printing sciences and an MS in applied statistics, both from the Rochester Institute of Technology. Connect with him on LinkedIn.

Easy-to-use statistical software has become an essential tool in nearly all businesses as more companies strive to have their employees make decisions that are based on data. Comprehensive statistical analyses, building sophisticated descriptive and predictive models, and mining data to discover insights are no longer just done by statisticians, but by those across many functional areas within an organization. Academia is experiencing a similar need. There has been a substantial increase in the number of programs and courses across a wide range of disciplines exposing students to the tools and techniques of the statistical sciences. Interactive point-and-click software can greatly reduce the barrier for students to develop the necessary skills, allowing them to enjoy the data exploration process without the need for programming.

This white paper explores two popular software packages – Minitab and JMP. Differences between the two are illustrated, with the goal of easing the transition as experienced Minitab users move to JMP. Focus is on the user interface, how tools are accessed, how analyses are performed, and the general workflow that a user follows to analyze data.

Minitab v19, released in June 2020, is the version featured in this white paper.

JMP and JMP Pro are GUI-based software, first developed by SAS in 1989 to support engineers, scientists, and researchers in applying the tools of the statistical sciences in a nonprogramming, highly interactive environment. JMP and JMP Pro are used across a wide range of industries and academic disciplines. JMP 16 and JMP Pro 16, released in March 2021, are the versions featured in this paper.

As this is a transition guide rather than a comprehensive coverage of the individual capabilities of each system, it does not include all the differences between the two. Visit jmp.com to learn more.

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