SOCR Abstract
We
will describe the
philosophy, design, implementation and utilization of the Statistical
Online Computational Resource (SOCR) for undergraduate and graduate
education. Classical Probability
and statistics instruction can be significantly enhanced by employing
interactive, contemporary, computational, visualizational and graphical
tools, in and out of class. We have developed one such suite of tools
(SOCR) that consists of virtual experiments, distribution models,
games, statistical analysis tools and other additional models
(e.g.,
curve fittings, parameter estimates, probability tables, etc.)
All of these tools are designed in a modern object oriented fashion and implemented as look-alike Java applets. The SOCR resources may be accessed by students from any Java-enabled computer.I will discuss how these tools have been used in my graduate and undergraduate classes to demonstrate statistical concepts, experimental properties, analytic methods and data manipulations (e.g., visualization).
Over the past 3 years many statistics faculty and students have been involved in the development of the SOCR suite of tools (see the SOCR acknowledgments).
SOCR Topics
All of these tools are designed in a modern object oriented fashion and implemented as look-alike Java applets. The SOCR resources may be accessed by students from any Java-enabled computer.I will discuss how these tools have been used in my graduate and undergraduate classes to demonstrate statistical concepts, experimental properties, analytic methods and data manipulations (e.g., visualization).
Over the past 3 years many statistics faculty and students have been involved in the development of the SOCR suite of tools (see the SOCR acknowledgments).
