SOCR Events CMC 2010

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! 2010 [http://www.cmc-math.org/activities/conferences.html CMC Meetings] || [http://www.cmc-math.org/activities/south_conference.html Paul Springs, CMC-South, 11/06/10] || [http://www.cmc-math.org/activities/north_conference.html Asilomar, CMC-North, 12/04/10]
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! 2010 [http://www.cmc-math.org/activities/conferences.html CMC Meetings] || [http://www.cmc-math.org/activities/south_conference.html Paul Springs, CMC-South] || [http://www.cmc-math.org/activities/north_conference.html Asilomar, CMC-North]
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| Place || [http://www.palmspringscc.com/ Palm Springs Convention Center] || [http://www.visitasilomar.com/ Asilomar Conference Center, Pacific Grove, CA]
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| '''Date''' || 11/06/10 || 12/04/10
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| '''Place''' || [http://www.palmspringscc.com/ Palm Springs Convention Center] || [http://www.visitasilomar.com/ Asilomar Conference Center, Pacific Grove, CA]
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Revision as of 23:48, 31 August 2010

Contents

SOCR News - SOCR Session at the 2010 California Math Council (CMC) Conference

Logistics

2010 CMC Meetings Paul Springs, CMC-South Asilomar, CMC-North
Date 11/06/10 12/04/10
Place Palm Springs Convention Center Asilomar Conference Center, Pacific Grove, CA

SOCR Presentation

  • Title: Interactive Statistics Education using Web-based SOCR Data, Tools, Activities, and Resources.
  • Abstract: This webinar will present data, tools, materials and the pedagogical approach of the Statistics Online Computational Resource (SOCR) for technology-enhanced probability and statistics education. Following a review of the different types of SOCR online resources, we will go over two specific classroom utilization examples. The first one provides a hands-on demonstration of a statistical concept (CLT) using interactive virtual experiments and simulations. The second example will showcase the use of SOCR resources to address interesting social, health, environmental, scientific, and engineering challenges. In this case, we'll focus on the Ozone pollution in California, formulate health-related hypotheses, identify appropriate data and employ web-based exploratory and statistical data analysis tools.

Summary





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