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Middle School Statistics Webinar Series – Grade 6

January 23 @ 4:00 pm - 5:30 pm

The most recent California Mathematics Content Standards have incorporated statistics and probability standards in grades 6-12. The Guidelines for Assessment and Instruction in Statistics Education (GAISE) framework state that every high school graduate should be able to use sound statistical reasoning to intelligently cope with the requirements of citizenship. Data collection design, exploration of data, and the interpretation of results should be emphasized in statistics education for statistical literacy. This webinar series will cover the middle school statistics standards from the California Mathematics Framework.

Dates

Grade 6 Statistics Webinar Tuesday, Jan 23 4-5:30pm
Grade 7 Statistics Webinar Tuesday, Feb 20 4-5:30pm
Grade 8 Statistics Webinar Tuesday, Mar 20 4-5:30pm

Topics presented will include:

  • Understanding of the statistical reasoning process
  • The idea of variability
  • Building student understanding of probability by investigating the relative frequency of outcomes from repeated observations of random events.
  • Building statistical models to explore the relationship between two variablesThis webinar is intended to provide teachers with

This webinar is intended to provide teachers with the pedagogical strategies that will support their students in becoming proficient statistical thinkers.
Goals of webinar series

  • Examine the GAISE Framework to understand the statistical reasoning process
  • Engage in a statistical tasks for middle school students
  • Discuss the implications for classroom instruction including opportunities for collection and analysis of real-world data that is culturally relevant for middle school students.

Fee

$65 per individual session; 3 session discounted rate $180

Register

Register

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Details

Date:
January 23
Time:
4:00 pm - 5:30 pm
Event Categories:
,
Website:
https://commerce.cashnet.com/CENTERXEVENTS?itemcode=40070XE-OSU

Venue

Webinar

Organizer

Ann Park
Email:
apark@gseis.ucla.edu