A Novel Hands-On Way to Teach Introductory Statistics
Description
We plan to present the novel approach to teaching intro-Stat classes. This technique has been implemented at FAU for several years and based on a few thousand students, it was very well received. We greatly simplified the material by eliminating much of redundant and tedious computations by hand, as well as formula memorization. Instead, via Excel, we introduce the hands-on data analysis on real data. And we do this on the very first week! As the semester progresses, we add the necessary computer skills as well as Statistical tools; as needed. By the completion of semester, the students learn to effortlessly open and manipulate data files containing tens of thousands data point, to perform multiple regression as well as t-tests.
Date of Event
January 19, 2016 12:00-1:00 PM
Location
Mailman-Hollywood Auditorium
NSU News Release Link
http://cnso.nova.edu/news/articles/introductory-statistics.html
A Novel Hands-On Way to Teach Introductory Statistics
Mailman-Hollywood Auditorium
We plan to present the novel approach to teaching intro-Stat classes. This technique has been implemented at FAU for several years and based on a few thousand students, it was very well received. We greatly simplified the material by eliminating much of redundant and tedious computations by hand, as well as formula memorization. Instead, via Excel, we introduce the hands-on data analysis on real data. And we do this on the very first week! As the semester progresses, we add the necessary computer skills as well as Statistical tools; as needed. By the completion of semester, the students learn to effortlessly open and manipulate data files containing tens of thousands data point, to perform multiple regression as well as t-tests.
https://nsuworks.nova.edu/mathematics_colloquium/ay_2015-2016/events/11
Presenter Bio
Dragan Radulovic, Ph.D. is a Professor in the Department of Mathematical Sciences at Florida Atlantic University. He completed his Ph.D. at the University of Connecticut and subsequently, was appointed to a Post-Doc in Applied Mathematics at Princeton University until 2001.