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NotesMath AITopic 4.7Expected value
Back to Math AI Topics
4.7.33 min read

Expected value

IB Mathematics: Applications and Interpretation · Unit 4

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Contents

  1. 1Calculate the average
  2. 2Expected value on the GDC
  3. 3Exam-style question

Expected value

Multiply each value by its probability, then add.
00.10
10.30.3
20.40.8
30.20.6

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Long-run average, not one result: E(X) = 1.7 means the average approaches 1.7 over many tries.

One try still gives a whole score: 0, 1, 2 or 3.

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Expected value on the GDC

A game has the probability distribution below. Calculate the expected score E(X) using your GDC. [2]

x02520
P(X = x)0.50.30.150.05

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Show your method: For a simple table, also know how to write the expected-value substitution by hand.

For the GDC example: E(X) = 0(0.5) + 2(0.3) + 5(0.15) + 20(0.05) = 2.35.

Separate question: find the unknown value

X has the probability distribution below. Given that E(X) = 1, find n. [3]

x−21n
P(X = x)0.40.450.15
IB-style questionFind[3 marks]

Given E(X) = 1, find n.

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Exam-style question

Try it, then check

A score is 0, 2 or 5 with probabilities 0.5, 0.3 and 0.2. Find E(X) and explain its meaning. [3]

Step by step

  1. Multiply each score by its chance, then add.

Final answer

Over many plays, the average score approaches 1.6. One play gives 0, 2 or 5, never 1.6.

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what E(X) represents in practical terms. [1 mark]

Related Math AI Topics

Continue learning with these related topics from the same unit:

4.1.1Population and Samples4.1.2Data Classification4.1.3Sampling Techniques4.1.4Data Reliability and Outliers
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Improve your exam techniqueCommand terms, paper structure, and mark-scheme tips for Math AI
Previous4.7.2Building probability distributionsNextFair games & expected money4.7.4

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