JMP LOGISTIC REGRESSION SOFTWARE
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.
JMP LOGISTIC REGRESSION HOW TO
Finally, we will turn our attention to linear regression models and how to apply them to given data sets. For more than two populations, we will introduce the analysis of variance, investigate its use and limitations. 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.
Next we will study a wide range of examples of hypothesis tests, reaching from tests for one and two populations to nonparametric tests.
We will start with introducing three key concepts of statistical inference: point estimators, confidence intervals, and hypothesis tests. This course will provide everything that is needed to understand and apply ANOVA and linear regression models. Every scientist, engineer or economist who works with data will most likely encounter these modeling techniques in his area of expertise. 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. 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). Moreover, JMP is available freely or inexpensively for academic researchers. With JMP’s interactive capabilities, learning and using statistics becomes fun for applied researchers and statisticians alike. 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. 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. 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.
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