![]() ![]()
JMP runs on Windows and Macintosh operating systems and also functions as a point-and-click interface to SAS®, R, MATLAB and Excel. ![]() JMP can perform basic statistics to the most complex analyses a Ph.D. Register online at jmp.com/workshops/mst3. Register online at jmp.com/workshops/mst2.ĭata mining and modeling – Partition, neural, validation, model comparison and selection, and new modeling features in JMP 11 Pro. Session 2: 11 a.m.-1 p.m. Friday, March 14ĭata 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/mst1. Getting started with JMP – hands on demo (navigating JMP, getting data into JMP, saving work, and data summary, visualization and filtering). ![]() #LOGISTIC REGRESSION JMP SOFTWARE#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 aim of this school on statistics is to provide a thorough training in statistics using the user-friendly JMP software, starting with data visualization and ending with multivariate statistics.Three training sessions on the use of the JMP statistical software will be held on Friday, March 14. We believe that statistics training should be hands-on from start to finish, and that the explanation of theoretical concepts, demonstrations and hands-on exercises should be intertwined throughout. As we believe that the JMP software is the ideal software for exploring data, visualizing it and analyzing it statistically, we will use that software for the entire summer school. If a logistic regression (done on JMP) ends up not looking sigmoidal, does this mean that it is not appropriate to use this model to test for statistical. With JMP’s interactive capabilities, learning and using statistics becomes fun for applied researchers and statisticians alike. Moreover, JMP is available freely or inexpensively for academic researchers. #LOGISTIC REGRESSION JMP LICENSE#A free student license is included in various textbooks on statistics (for instance, in the books by Peter Goos and David Meintrup on Graphs, Descriptive Statistics and Probability and on Hypothesis Testing, ANOVA and Regression). Prior experience with JMP is not required to attend to course.Īnalysis of variance (ANOVA) and linear regression are the two most fundamental statistical models used in numerous applications. This course will provide everything that is needed to understand and apply ANOVA and linear regression models.Įvery scientist, engineer or economist who works with data will most likely encounter these modeling techniques in his area of expertise. We will start with introducing three key concepts of statistical inference: point estimators, confidence intervals, and hypothesis tests. Next we will study a wide range of examples of hypothesis tests, reaching from tests for one and two populations to nonparametric tests. For more than two populations, we will introduce the analysis of variance, investigate its use and limitations. #LOGISTIC REGRESSION JMP HOW TO##Jmp logistic regression how toįinally, we will turn our attention to linear regression models and how to apply them to given data sets. All parts of this course will be accompanied by examples, case studies, and exercises that will be performed with the highly interactive and user-friendly software JMP. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |