Dr. Ruth Hummel, JMP Academic Programs
This is an exciting time to be teaching introductory data science and statistics! Interacting with graphical displays and statistical models helps students connect concepts and understand what the data are telling them. This interactivity helps bridge the gap between theory and decision-making from data, fosters intellectual curiosity and exploration of "what if" scenarios, and facilitates the communication of findings and results.
In this session we will use a case study to illustrate dynamic tools for data visualization and statistical modeling – specifically tree-based methods – and we will explore how these sorts of examples can lead to better comprehension and retention of statistical ideas, and to students who are more statistically and mathematically literate and more engaged in the exploration of data.
Learn more about JMP Statistical Discovery™ Software at http://www.jmp.com/360.