Three training sessions on the use of the JMP statistical software will be held on Friday, March 14. JMP is a software system that includes comprehensive capabilities for statistical and graphical analysis of data for every academic field and most research needs. The three sessions are as follows:

• Session 1: 8:30-10:30 a.m. Friday, March 14

Getting started with JMP – hands on demo (navigating JMP, getting data into JMP, saving work, and data summary, visualization and filtering).

Register online at jmp.com/workshops/mst1.

• Session 2: 11 a.m.-1 p.m. Friday, March 14

Data analysis with JMP – hypothesis testing for means and proportions, linear and logistic regression, ANOVA, multivariate methods, and nonparametric statistics.

Register online at jmp.com/workshops/mst2.

• Session 3: 2-4 p.m. Friday, March 14

Data mining and modeling – Partition, neural, validation, model comparison and selection, and new modeling features in JMP 11 Pro.

Register online at jmp.com/workshops/mst3.

JMP can perform basic statistics to the most complex analyses a Ph.D. student may encounter. JMP runs on Windows and Macintosh operating systems and also functions as a point-and-click interface to SAS®, R, MATLAB and Excel.

JMP drives you through the statistical analysis workflow using point, click, drag and drop. It displays results as statistics and multiple graphs in the same window. In addition to the diverse set of tools JMP provides for analysis, you can easily subset, join and manipulate data tables in numerous ways, build summary tables using drag-and-drop and create 3-D and moving graphics to help understand and communicate the results of your analyses.

For more information, contact Dr. V.A. Samaranayake, Curators’ Teaching Professor of mathematics and statistics.