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Probability models
Probability models
Probability models
Probability models
Probability models
Probability models
Probability models
Probability models
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Probability models

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  • 1. AIM: Probability Models Do Now 1
  • 2. Anticipatory SetToday we will create a Probability Model for spinning apenny and tossing a paper cup. A Probability Model is amathematical representation of a random phenomenon,which includes the sample space and the probabilityassociated with each event.Sample Space of Spinning a Penny:Sample Space of Tossing a Paper Cup: 2
  • 3. Predicted Probabilities associated with Spinning a Penny:Predicted Probabilities associated with Tossing a Paper Cup: 3
  • 4. Questions:1.) Explain your predicted probabilities associatedwith Spinning a Penny.2.) Explain your predicted probabilities associatedwith Tossing a Paper Cup. 4
  • 5. 5
  • 6. Experimental Probabilities associated with Spinning a Penny:Experimental Probabilities associated with Tossing a PaperCup: 6
  • 7. Questions:1.) How did your predicted probabilities compare with theexperimental probabilities?2.) What are the key differences between a penny and a cup thateffects the probability models?3.) How would you re-design the cup to increase the likelihood ofthe cup landing open-end down. 7
  • 8. Coin Flip Unfair? Coin Flipper 8

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