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Vocabulary
experimental probabilitiestheoretical probabilitiessimple eventscompound eventsdatasample spaces
Skills
  • determine (experimental probabilities for simple and compound events) #dok2
  • determine (theoretical probabilities for simple and compound events) #dok2
  • analyze (data and sample spaces related to events) #dok2
  • compare (experimental and theoretical probabilities) #dok2
Learning Targets
  • I can determine the experimental probability of a simple or compound event using data and sample spaces. #dok2
  • I can determine the theoretical probability of a simple or compound event using data and sample spaces. #dok2
  • I can analyze data and sample spaces to solve probability problems for simple and compound events. #dok2
  • I can compare experimental and theoretical probabilities for a given event. #dok2
Big Ideas
  • Experimental and theoretical probabilities are used to predict and describe the likelihood of events in real-world and mathematical situations.
  • Using data, sample spaces, and mathematical reasoning provides the basis for determining probabilities of simple and compound events.
Essential Questions
  • How are experimental probability and theoretical probability alike and different?
  • Why is it important to use both data and mathematical reasoning when calculating probabilities?
  • How can sample spaces help me find the probability of simple and compound events?
  • What can I learn by comparing experimental and theoretical probabilities of an event?
  • In what situations might experimental probability differ from theoretical probability, and why?