![]() ![]() (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. Minitab is a graphical user interface-based (GUI) statistical software program first developed in 1978 as a computing tool to support introductory statistics courses. 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. 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. Tabulating Data Construct tables of descriptive statistics.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. Mapping in Graph Builder Visualize data that correspond with geographical maps. Pareto Plots and Pie Charts Visualize and numerically summarize the distribution of categorical variables.īubble Plots Explore the relationship between two continuous variables and changes over time. Mosaic Plot and Contingency Table (Cross-tabs) Explore and display a relationship between two categorical variables. Run Charts (Line Graphs) Display changes in a continuous variable over time. Scatter Plots Explore and visualize the relationships between continuous variables. ![]() Histograms, Descriptive Stats and Stem and Leaf Visualize and numerically summarize the distribution of numerical variables.īar Charts and Frequency Distributions Visualize and numerically summarize the distribution of categorical variables.ĭot Plots Visualize the distribution of continuous variables.īox Plots Visualize and numerically summarize the distribution of continuous variables. (Examples: dotplots, line plots, box plots, bar charts, histograms, heat maps, smoothers, contour plots, time series plots, interactive geographic maps, mosaic plots) Interactive Graphing with Graph Builder Interactively create visualizations to explore and describe data. ![]()
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