JMP Pro 16 for Students JMP Pro 16.2 Updater for Mac – Must have JMP 16 installed first JMP Pro 15.1 for Students JMP Pro 16 for Mac JMP Pro 16.2 Updater for Students JMP Pro 15.1 for Windows JMP Pro 16.2 Updater for Faculty and Staff JMP Pro 16 for Students JMP Pro 16.2 Updater for Windows – Must have JMP 16 installed first JMP (pronounced “jump”) Pro is statistical software made by SAS that enables users to easily explore and visualize data using a variety of tools for statistical analysis and interactive graphing. While JMP Pro is easy to learn and helps the user learn about statistics, SAS has a steep learning curve and requires more expertise.Faculty, Staff (academic use only), and Students Description But if you are out for a drive to go exploring, you might find it best to drive a small car, or even a sports car like JMP.”Ĭompared to SAS, JMP Pro is easier to install, takes up less hard drive space, and requires less RAM. The JMP Pro user guide explains it like this, “When you are looking for an information delivery vehicle, sometimes you need a truck that can haul anything, every day, like SAS. JMP Pro provides a streamlined alternative for smaller jobs using the most popular types of analysis. SAS remains the best choice of software if you need to handle large amounts of data or want maximum flexibility in terms of programming and statistical analysis. Stata users will also appreciate and easily adjust to using JMP Pro. SAS users will appreciate the advanced graphing capabilities integrated into JMP Pro software. SPSS users will find JMP Pro ’s graphical “point and click” user interface familiar and easy to use. What if I am used to using SPSS, SAS, or Stata? JMP Pro assists the user in choosing correct analytic procedures and in interpreting results. Therefore, it is an ideal statistics package for students. While JMP Pro is capable of advanced analytics, the software assumes that the user only has a very basic background in statistics. JMP Pro can be used for research, development, and quality control applications and includes analytics for Six Sigma® and the design of experiments.
0 kommentar(er)
