Posted on Thursday, April 26, 2018
The Mathematics & Science Division at Babson College Invites you to a
Presentation “Multivariate Thinking and the Introductory Statistics and
Data Science Course: Preparing Students to make Sense of a world of
Observational Data” on Monday, April 30, 2018.
Nicholas
Horton, professor of statistics at Amherst College will give a
presentation titled “Multivariate Thinking and the Introductory Statistics
and Data Science Course: Preparing Students to make Sense of a world
of Observational Data” at Babson College.
For more information, please contact Babak Zafari (bzafari@babson.edu).
Abstract:
We live in a world of ever expanding “found” (or observational) data.
To make decisions and disentangle complex relationships, students need
a solid background in design and confounding. The revised “Guidelines
for Assessment and Instruction in Statistical Education (GAISE)
College Report” enunciated the importance of multivariate thinking as
a way to move beyond bivariate thinking. But how do such learning
outcomes compete with other aspects of statistics knowledge (e.g.,
inference and p-values) in introductory courses that are already
overfull. In this talk I will offer some reflections and guidance
about how we might move forward with specific implications for
introductory statistics and data science courses.
