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NotesMath AITopic 4.7Archived variance lesson (withdrawn)
Back to Math AI Topics
4.7.993 min read

Archived variance lesson (withdrawn)

IB Mathematics: Applications and Interpretation · Unit 4

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Contents

  1. 1Withdrawn lesson
  2. 2Withdrawn lesson
  3. 3Withdrawn lesson
  4. 4Withdrawn lesson
  5. 5Exam-style question

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Exam-style question

Use the skills together: This original question combines building a distribution, expected gain, a fair fee, expected losses and two independent plays.

A game uses two fair coins. The prize is 0 dollars for no heads, 4 dollars for one head and 8 dollars for two heads. A player pays 3 dollars to play.

(a) Find the probability distribution of the player’s net gain X. [3]

(b) Find E(X) and interpret your answer. [2]

(c) Find the entry fee that makes the game fair. [2]

(d) The game is played 60 times. Find the expected number of losses. [2]

(e) Two plays are independent. Find the probability that the total prize is 8 dollars. [3]

(a) What do you gain or lose?

You pay 3 dollars to play: X = prize − 3 dollars.

A negative X means you lose money.
Coin resultPrizeX: prize − cost
TT: no heads0 dollars0 − 3 = −3 dollars
HT: one head4 dollars4 − 3 = 1 dollar
TH: one head4 dollars4 − 3 = 1 dollar
HH: two heads8 dollars8 − 3 = 5 dollars

4 equally likely results: each has probability 1/4. HT and TH both give X = 1, so add their chances: 1/4 + 1/4 = 1/2.

X: gain or lossResults giving this XProbability
−3 dollarsTT
1 dollarHT or TH
5 dollarsHH

(b) Average gain

Find E(X) and explain what it means.

Step by step

  1. (b) Multiply each net gain by its probability and add.
  2. Interpret: the player gains an average of 1 dollar per game in the long run.

Final answer

Over many games, the player gains an average of 1 dollar per game.

(c) A fair entry fee

What should the player pay so the game is fair?

Step by step

  1. The four equally likely results pay $0, $4, $4 and $8. Add the prizes and divide by 4.
  2. On average you receive $4. Pay $4 to leave no average gain or loss.

Final answer

Fair entry fee: $4.

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(d) Expected losses

Using the original 3-dollar entry fee, how many losses do we expect in 60 games?

Step by step

  1. You lose money only with TT: you pay 3 dollars and win nothing. TT is 1 of the 4 equally likely results.
  2. The chance of losing is 1/4. Take one quarter of 60 games.

Final answer

Expect 15 losses on average. A particular set of 60 games could have more or fewer.

(e) Total prize from two plays

Find the chance that the two prizes add to 8 dollars.

Step by step

  1. There are three ways to make $8: $0 then $8, $4 then $4, or $8 then $0.
  2. For each pair, multiply the two chances. The plays are independent.
  3. Add the chances of these three different ways.

Final answer

Probability = 3/8 = 0.375.

Check what the question asks: A prize is before the entry fee. A gain is after the fee.

In part (e), the total is a prize total, so use prizes 0, 4 and 8.

IB Exam Questions on Archived variance lesson (withdrawn)

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How Archived variance lesson (withdrawn) 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 Archived variance lesson (withdrawn).

    AO1
  • Describe

    Give a detailed account of processes or features in Archived variance lesson (withdrawn).

    AO2
  • Explain

    Give reasons WHY — cause and effect within Archived variance lesson (withdrawn).

    AO3
  • Evaluate

    Weigh strengths AND limitations of approaches in Archived variance lesson (withdrawn).

    AO3
  • Discuss

    Present arguments FOR and AGAINST with a balanced conclusion.

    AO3

See the full IB Command Terms guide

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
View all Math AI topics
Improve your exam techniqueCommand terms, paper structure, and mark-scheme tips for Math AI
Previous4.7.6Repeated trials & expected outcomesNextBinomial Distribution4.8.1

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