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Learning Goal

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Develop a theoretical probability distribution

Start lessonBegins with Theoretical distribution and counting · Slides

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HSS.MD.A.3

**HSS.MD.A.3**: (+) Develop a probability distribution for a random variable defined for a sample space in which theoretical probabilities can be calculated; find the expected value. For example, find the theoretical probability distribution for the number of correct answers obtained by guessing on all five questions of a multiple-choice test where each question has four choices, and find the expected grade under various grading schemes.

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HSS.MD.A.3: (+) Develop a probability distribution for a random variable defined for a sample space in which theoretical probabilities can be calculated; find the expected value. For example, find the theoretical probability distribution for the number of correct answers obtained by guessing on all five questions of a multiple-choice test where each question has four choices, and find the expected grade under various grading schemes.

What you'll learn

  1. Develop a theoretical probability distribution for a discrete random variable when the outcome probabilities can be computed from a model
  2. Use the multiplication rule for independent events and counting (combinations) to find P(X = k) for each value
  3. Verify the developed distribution sums to 1 and graph it as a probability histogram
  4. Compute the expected value of the developed distribution
  5. Convert the distribution to a payoff under different grading or scoring schemes and compare the resulting expected values

Slides

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1

Theoretical distribution and counting

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2

Validate graph and grading schemes

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Practice

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