Whether its JMP IN's ability to handle unlimited data sets, interactive graphics, or its intuitive interface, JMP IN is the most exciting academic software innovation for statistics in years. In fact, with JMP IN, there is no limit on the size of problems students can solve!
Its spreadsheet, data table, and numerous graphing capabilities help students gain important insights about data while JMP IN handles all the calculations. JMP IN is the student version of Jmp -- the preferred professional statistical software in business and industry. It combines classical statistics with state-of-the-art interactive graphics that cover many functions simultaneously -- including spinning plots, hi-plots, and scatter plot matrices, making it easier for students to identify structure and spot outliers. JMP IN, Version 3.2 also includes updates and maintenance upgrades to keep it on a parallel track with the software's professional version.
-- Unlimited power with ability to handle unlimited data sets -- its analytic power places no artificial limit on the size of the data that needs to be analyzed
-- Menu-driven interactive graphics so students can move easily from one window to the next with point-and-click technology
-- The interactive linking of graphs, data tables, and analysis platforms so users can get close to their data and spot things they might not notice with conventional approaches
-- A menu system that allows users to examine data from many angles, running several analyses at the same time to see how one variable compares to another
-- A helpful handbook (Jmp Start Statistics by John Sail and Ann Lehman) that explains the software and its approach to modern statisticalanalysis; includes dozens of realistic examples throughout
"synopsis" may belong to another edition of this title.
SAS Institute Inc. is in Cary North Carolina the Product Manager is Dr. Ann Lehman.
A highly visual package that bundles powerful computational algorithms with a modern, interactive display of the data. It’s hard to blunder when the pictures show so well how well the data match the model.
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