Academic Webinar – Teaching Multivariable Thinking in Intro Statistics

According to the American Statistical Association’s Guidelines for Assessment and Instruction in Statistics Education (GAISE) reports, introductory stats courses should introduce students to multivariable thinking: thinking about interrelationships of many variables and what those relationships mean. Fostering students' multivariable thinking in intro statistics can be challenging, but JMP’s interactive and visual tools can help.

This webinar demonstrates JMP techniques for fostering multivariable thinking without requiring advanced statistical analyses. Topics will include:

• Exploring complex and multidimensional data through intuitive interactive graphs
• Intuitive ways to teach a range of important multivariate concepts (e.g., grouping observations based on multiple variables, combining many variables into a new summary variable)
• Dynamic visualizations to describe changes over time
• Relevant teaching tips and resources from the JMP Academic team

Get JMP free for academic teaching and research at www.jmp.com/student.