Technology-Enhanced Probability and Statistics Education Using the Statistics Online Computational Resource

Author(s)
Nicolas
Christou
Lecturer
UCLA
Ivo
Dinov
Asst Prof
UCLA
Ryan
Rosario
UCLA
Session Information
The Cutting Edge
Regular Session (50 minutes)
July 22, 2010 - 10:30am
Piedmont Room
The Statistics Online Computational Resource (www.SOCR.ucla.edu) provides online aids for probability and statistics education. We will demonstrate a new Java-based infrastructure, SOCR Motion Charts which freely accessible on the web at www.socr.ucla.edu/SOCR_MotionCharts. Statistical inference based on confidence intervals presents significant challenges in AP statistics and undergraduate probability and statistics education. To address these issues, we developed a pair of applets available freely at www.socr.ucla.edu/htmls/exp/CI_Experiment.html. Spatial data are encountered in many disciplines and their visualization on georeferenced maps enhances the analysis of the data. We will discuss examples on environmental spatial data using the new SOCR applet and R packages.