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Learning Goal

Part of: Investigate chance processes and develop, use, and evaluate probability models3 of 4 cluster items

Develop a probability model and use it to find probabilities of events

7.SP.C.7

7.SP.C.7 -- Develop a probability model and use it to find probabilities of events. Compare probabilities from a model to observed frequencies; if the agreement is not good, explain possible sources of discrepancy. 7.SP.C.7a -- Develop a uniform probability model by assigning equal probabilities to all outcomes, and use the model to determine probabilities of events. For example, if a student is selected at random from a class, find the probability that Jane will be selected and the probability that a girl will be selected. 7.SP.C.7b -- Develop a probability model (which may not be uniform) by observing frequencies in data generated from a chance process. For example, find the approximate probability that a spinning penny will land heads up or that a tossed paper cup will land open-end first based on observed frequencies.

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7.SP.C.7 -- Develop a probability model and use it to find probabilities of events. Compare probabilities from a model to observed frequencies; if the agreement is not good, explain possible sources of discrepancy.

7.SP.C.7a -- Develop a uniform probability model by assigning equal probabilities to all outcomes, and use the model to determine probabilities of events. For example, if a student is selected at random from a class, find the probability that Jane will be selected and the probability that a girl will be selected.

7.SP.C.7b -- Develop a probability model (which may not be uniform) by observing frequencies in data generated from a chance process. For example, find the approximate probability that a spinning penny will land heads up or that a tossed paper cup will land open-end first based on observed frequencies.

What you'll learn

  1. Define a probability model as an assignment of probabilities to all possible outcomes of a chance process
  2. State the two requirements of a probability model: each probability is between 0 and 1, and all probabilities sum to 1
  3. Develop a uniform probability model by assigning equal probabilities to all outcomes
  4. Use a uniform model to compute the probability of an event (a subset of outcomes)
  5. Develop a non-uniform probability model from observed frequency data
  6. Compare modeled probabilities to observed frequencies and explain discrepancies

Slides

Interactive presentations perfect for visual learners • Interactive presentation

Slide Video

Watch narrated slides play like a video lesson • Narrated slide playback

Exercises

Practice problems to build fluency and understanding • 1 exercises