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John played Game A four times and tells us that he has won a total of €8 - Leaving Cert Mathematics - Question 3 - 2014

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John played Game A four times and tells us that he has won a total of €8. In how many different ways could he have done this? To spin either arrow once, the player... show full transcript

Worked Solution & Example Answer:John played Game A four times and tells us that he has won a total of €8 - Leaving Cert Mathematics - Question 3 - 2014

Step 1

John played Game A four times and tells us that he has won a total of €8. In how many different ways could he have done this?

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Answer

To find the number of ways John can win a total of €8 after playing Game A four times, we can list the possible combinations of winnings. The possible outcomes are:

  1. 5, 3, 0, 0
  2. 3, 5, 0, 0
  3. 0, 5, 3, 0
  4. 0, 3, 5, 0
  5. 0, 0, 5, 3
  6. 3, 0, 5, 0
  7. 2, 2, 2, 2

By analyzing these outcomes, we can see that there are 12 ways in total for John to achieve €8.

Step 2

To spin either arrow once, the player pays €3. Which game of chance would you expect to be more successful in raising funds for the charity? Give a reason for your answer.

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Answer

To determine which game is more successful for raising funds, we need to calculate the expected outcomes for each game:

  • For Game A:

    E(X)=0(16)+3(16)+5(16)+6(16)=146=2.33E(X) = 0(\frac{1}{6}) + 3(\frac{1}{6}) + 5(\frac{1}{6}) + 6(\frac{1}{6}) = \frac{14}{6} = 2.33

  • For Game B:

    E(X)=0(16)+1(16)+2(16)+3(16)+4(16)=106=1.67E(X) = 0(\frac{1}{6}) + 1(\frac{1}{6}) + 2(\frac{1}{6}) + 3(\frac{1}{6}) + 4(\frac{1}{6}) = \frac{10}{6} = 1.67

Based on the calculations, Game A yields a higher expected payout, thus is more successful in raising funds for the charity.

Step 3

Mary plays Game B six times. Find the probability that the arrow stops in the €4 sector exactly twice.

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Answer

To find the probability that the arrow stops in the €4 sector exactly twice when playing Game B six times, we can use the binomial probability formula:

P(X=k)=(nk)pk(1p)nkP(X = k) = \binom{n}{k} p^k (1-p)^{n-k}

Where:

  • (n) = total number of trials (6 spins)
  • (k) = number of successful outcomes (2 stops in €4 sector)
  • (p) = probability of success ( rac{1}{6})
  • (1 - p) = probability of failure ( rac{5}{6})

Substituting the values, we get:

P(stops in €4 sector exactly twice)=(62)(16)2(56)4=15×(136)×(6251296)=0.2P(stops \ in \ €4 \ sector \ exactly \ twice) = \binom{6}{2} (\frac{1}{6})^2 (\frac{5}{6})^{4} = 15 \times (\frac{1}{36}) \times (\frac{625}{1296}) = 0.2

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