DP Math AI · HL / SL · Statistics and Probability

SL 4.7—Discrete random variables

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Notes

What is a Discrete Random Variable?

Discrete Random Variable: A variable whose value is determined by the outcome of a random experiment, and which can only take a countable set of specific, separate values , typically whole numbers.

Think of a discrete random variable as a quantity that jumps between distinct values rather than flowing continuously. You can list all its possible outcomes.

Examples of discrete random variables:

  • The number shown when rolling a fair six-sided die: X∈{1,2,3,4,5,6}
  • The number of heads in 5 coin flips: X∈{0,1,2,3,4,5}
  • The number of goals scored in a football match: X∈{0,1,2,3,...}

Contrast with continuous random variables (not covered here): those can take any value in a range, like height or temperature.

Exam Tip

A quick test: Can you list all the possible values? If yes, it's discrete. If the variable can take any value within an interval (like 1.732... or π), it's continuous.

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8 more sections in this topic

← Previous topicSL 4.6—Venn diagramsNext topic →SL 4.8—Binomial distribution
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