Build a dice-sum distribution and apply a binomial model to repeated throws.

Build a dice-sum distribution and apply a binomial model to repeated throws.

12 marks
ProbabilityQuestionBank.pdf

Two fair \(4\)-sided dice, one red and one green, are thrown. For each die, the faces are labelled \(1, 2, 3, 4\). The score for each die is the number which lands face down.

  1. List the pairs of scores that give a sum of \(6\).

    [3]
    Sum\(2\)\(3\)\(4\)\(5\)\(6\)\(7\)\(8\)
    Probability\(p\)\(q\)\(\frac{3}{16}\)\(\frac{4}{16}\)\(\frac{3}{16}\)\(r\)\(\frac{1}{16}\)
  2. Find the value of \(p\), of \(q\), and of \(r\). Fred plays a game. He throws two fair \(4\)-sided dice four times. He wins a prize if the sum is \(5\) on three or more throws.

    [3]
  3. Find the probability that Fred wins a prize.[6]

Solution:

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Answer:On each throw \(P(\text{sum}\hspace{0.5em}5)=\frac4{16}=\frac14\). Therefore \(P(Y\ge3)=\binom43(\frac14)^3(\frac34)+(\frac14)^4=0.05078\).

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