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ANALYZE LEARNERS
• Class of 16-18 year olds
• There are 20 students
• 8 girls and 12 boys
OBJECTIVE
• Students maximize success
• Using stats
• Observe examples, design their own game
show, and practice the mathematical strategies
behind them
• 90% Mastery
DAY BY DAY
• Monday – Definitions/Theoretical v.
Experimental Probability
• Tuesday – Binomial Distribution
• Wednesday – Break into groups with assigned
game shows, present games from that game
show
• Thursday – Identify the necessary distribution
• Friday – Play these games presented in class
with students maximizing their earnings by
using statistics
TECHNOLOGY
• Wikispace
• Digital Imaging
• Youtube
• Twitter
• Facebook
• Zello
• Blogs
• Poster
• Podcast
WORKS CITED
1. Plinko Probability. (n.d.). Retrieved May 3, 2015, from
http://phet.colorado.edu/en/simulation/plinko-probability
2. (n.d.) Retrieved May 4, 2015, from
http://www.ncssm.edu/courses/math/TCMConf/TCM2003/talks%202003/
GAMESHOW1_carltonmort.pdf

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Ci 350 unit plan

  • 1.
  • 2. ANALYZE LEARNERS • Class of 16-18 year olds • There are 20 students • 8 girls and 12 boys
  • 3. OBJECTIVE • Students maximize success • Using stats • Observe examples, design their own game show, and practice the mathematical strategies behind them • 90% Mastery
  • 4. DAY BY DAY • Monday – Definitions/Theoretical v. Experimental Probability • Tuesday – Binomial Distribution • Wednesday – Break into groups with assigned game shows, present games from that game show • Thursday – Identify the necessary distribution • Friday – Play these games presented in class with students maximizing their earnings by using statistics
  • 5. TECHNOLOGY • Wikispace • Digital Imaging • Youtube • Twitter • Facebook • Zello • Blogs • Poster • Podcast
  • 6. WORKS CITED 1. Plinko Probability. (n.d.). Retrieved May 3, 2015, from http://phet.colorado.edu/en/simulation/plinko-probability 2. (n.d.) Retrieved May 4, 2015, from http://www.ncssm.edu/courses/math/TCMConf/TCM2003/talks%202003/ GAMESHOW1_carltonmort.pdf