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Vocabulary
experimental probabilitytheoretical probabilitysimple eventscompound eventsdatasample spaces
Skills
  • determine experimental probability (using data) #dok2
  • determine theoretical probability (using sample spaces) #dok2
  • distinguish between experimental and theoretical probability (interpretation and computation) #dok2
  • analyze probabilities related to simple and compound events (using data and sample spaces) #dok3
  • solve problems involving probabilities for simple and compound events (application of both methods) #dok3
Learning Targets
  • I can calculate experimental probability using data from trials. #dok2
  • I can find theoretical probability using sample spaces. #dok2
  • I can explain the difference between experimental and theoretical probability. #dok2
  • I can compare experimental and theoretical probabilities of simple events to find similarities and differences. #dok3
  • I can analyze the probability of compound events using both experimental data and theoretical prediction. #dok3
  • I can solve real-world problems involving the probability of simple and compound events. #dok3
Big Ideas
  • Probability can be determined using both experiments (data) and theoretical reasoning (sample spaces).
  • There may be differences between experimental and theoretical probabilities, especially with limited trials.
Essential Questions
  • How are experimental and theoretical probability similar and different?
  • How do you use data from experiments to estimate probability?
  • How do you use sample spaces to calculate theoretical probability?
  • Why might experimental probability not match theoretical probability?
  • How can probability help us make predictions about real-world events?