1/31/2024 0 Comments Minitab probability plotChanges such as removing/adding variables to a model, switching the role of a variable and subsetting the data can be done directly from the analysis output without the need to rerun an analysis. This allows the user to interact directly with the analysis output. All the analysis output created, including what’s created across different platforms, are dynamically linked to each other and to the data table. When performing an analysis in JMP, the output is presented in an interactive window. While there are some similarities between Minitab and JMP, there are some fundamental differences that are important for one who is transitioning to JMP should know.ġ. Minitab v19, released in June 2020, is the version featured in this white paper.Īs this is a transition guide rather than a comprehensive coverage of their individual capabilities, we are unable to cover all the differences between the two in this white paper. It gained much popularity in industry during the mid-to-late ‘90s as companies that were engaged in quality initiatives such as Six Sigma began using statistical techniques to improve the quality of their processes and products. Minitab is a graphical user interface-based (GUI) statistical software program first developed in 1978 as a computing tool to support introductory statistics courses. Interactive point-and-click software can greatly reduce the barrior for students to develop the necessary skills and enjoy the data exploration process without the need for programming. 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. Comprehensive statistical analyses, building of 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. (Note: You can jump directly to a particular section by clicking on the hyperlinks above.)Įasy to use statistical software has become a essential tool in almost all businesses as more companies seek to have their employees basing decisions on data. The full text of the white paper appears below. JMP 16 and JMP Pro 16, released in March 2021, are the versions featured in this paper.Īs this is a transition guide rather than a comprehensive coverage of their individual capabilities, we are unable to cover all the differences between the two in this white paper. JMP and JMP Pro are used across a wide range of industries and academic disciplines. JMP and JMP Pro are also 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. Minitab v19, released in June 2020, is the version featured in this white paper. 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. ![]() Differences between the two will be illustrated with the goal of easing the transition for experienced Minitab users to move over to JMP. This white paper explores two popular software packages – Minitab and JMP. Interactive point-and-click software can greatly reduce the barrier for students to develop the necessary skills and enjoy the data exploration process without the need for programming. ![]() Easy to use statistical software has become a essential tool in almost all businesses as more companies seek to have their employees basing decisions on data.
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