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NotesMath AA HLTopic 4.7Building probability distributions
Back to Math AA HL Topics
4.7.21 min read

Building probability distributions (Math AA HL)

IB Mathematics: Analysis and Approaches · Unit 4

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Contents

  1. 1Count coin outcomes
  2. 2Two dice: keep the larger number
  3. 3A coin and a die
  4. 4Exam-style question

Build a distribution from 3 coin tosses

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Two dice: keep the larger number

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A coin and a die

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The same method works for wheels: Grey: keep the number. Gold: add the bonus. Example: a score of 3 can come from grey + 3 or gold + 1 when the bonus is 2. Count the matching pairs, then divide by the total number of pairs.

Exam-style question

Try it, then check

Toss two fair coins. X counts heads. Build its distribution. [3]

Step by step

  1. List all equally likely outcomes: TT, HT, TH, HH.
  2. Group by heads: 0 from TT; 1 from HT or TH; 2 from HH.

Final answer

P(X=0)=1/4, P(X=1)=1/2, P(X=2)=1/4. Their sum is 1.

IB Exam Questions on Building probability distributions

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How Building probability distributions Appears in IB Exams

Examiners use specific command terms when asking about this topic. Here's what to expect:

  • Define

    Give the precise meaning of key terms related to Building probability distributions.

    AO1
  • Describe

    Give a detailed account of processes or features in Building probability distributions.

    AO2
  • Explain

    Give reasons WHY — cause and effect within Building probability distributions.

    AO3
  • Evaluate

    Weigh strengths AND limitations of approaches in Building probability distributions.

    AO3
  • Discuss

    Present arguments FOR and AGAINST with a balanced conclusion.

    AO3

See the full IB Command Terms guide

Related Math AA HL Topics

Continue learning with these related topics from the same unit:

4.1.1Populations & samples4.1.2Sampling techniques4.10.1Prediction4.11.1Conditional probability
View all Math AA HL topics
Improve your exam techniqueCommand terms, paper structure, and mark-scheme tips for Math AA HL
Previous4.7.1Discrete random variables & probability distributionsNextExpected value4.7.3

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