Discrete and Continuous Probability · Statistics and Probability

Discrete Random Variables

Developing probability distributions for experiments with countable outcomes and calculating expected values.

Key Questions

  1. 1How does the expected value of a distribution differ from the simple average of a data set?
  2. 2Why must the sum of all probabilities in a discrete distribution equal exactly one?
  3. 3How can we use variance to measure the risk or spread of a random process?

ACARA Content Descriptions

AC9MSM01
Year: Year 12
Subject: Mathematics
Unit: Discrete and Continuous Probability
Period: Statistics and Probability

Suggested Methodologies

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