JMP Academic - Teaching Multivariable Thinking in Intro Statistics
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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 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
Recorded Sep. 25, 2024. Register for upcoming live JMP Academic webinars at https://www.jmp.com/academic-webinars.
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JMP Academic resources: https://www.jmp.com/academic