| SOCR
News, Events, Announcements |
2009
SOCR Continuing Education Workshop |
Probability & Statistics EBook |
It's online, therefore it exists! | RSS |
The goals of the Statistics Online Computational Resource
(SOCR) are to design, validate and freely disseminate knowledge. Our Resource specifically provides portable online aids for probability and statistics education, technology based instruction and statistical computing. SOCR tools and resources include a repository of interactive applets, computational and graphing tools, instructional and course materials.
| The core SOCR educational and computational components include: Distributions (interactive graphs and calculators), Experiments (virtual computer-generated analogs of popular games and processes), Analyses (collection of common web-accessible tools for statistical data analysis), Games (interfaces and simulations to real-life processes), Modeler (tools for distribution, polynomial and spectral model-fitting and simulation), Graphs, Plots and Charts (comprehensive web-based tools for exploratory data analysis), Additional Tools (other statistical tools and resources), SOCR Wiki (collaborative Wiki resource), Educational Materials and Hands-on Activities (varieties of SOCR educational materials), SOCR Statistical Consulting and Statistical Computing Libraries. |
SOCR Navigators![]() SOCR Interactive Viewer Hyperbolic Wheel Viewer SOCR 3D Carousel Viewer |
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How to use the SOCR Resources?
There are three major types of SOCR
users: educators, students and tool developers. Course
instructors and teachers will find the SOCR class notes
and interactive tools useful for student motivation, concept demonstrations and for enhancing
their technology based pedagogical approaches to any study of variation
and uncertainty. Students and trainees
may find the SOCR class notes, analyses, computational and graphing
tools extremely useful in their learning/practicing pursuits. Model
developers, software programmers and other engineering, biomedical and applied researchers may find the light-weight plug-in oriented
SOCR computational libraries and infrastructure useful in their
algorithm designs and research efforts. The three types of SOCR resources are:
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