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In an archery competition, the team consisting of John, David, and Mike will win 1st prize if at least two of them hit the bullseye with their last arrows - Leaving Cert Mathematics - Question 5 - 2016

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In an archery competition, the team consisting of John, David, and Mike will win 1st prize if at least two of them hit the bullseye with their last arrows. From past... show full transcript

Worked Solution & Example Answer:In an archery competition, the team consisting of John, David, and Mike will win 1st prize if at least two of them hit the bullseye with their last arrows - Leaving Cert Mathematics - Question 5 - 2016

Step 1

Complete the table below to show all the ways in which they could win 1st prize.

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Answer

To win 1st prize, at least two out of the three participants must hit the bullseye.

  1. Identify Possible Outcomes:

    • John (J), David (D), and Mike (M). Each can either Hit (✓) or Miss (×).
  2. Analyze Each Way:

    • Way 1: J ✓, D ✓, M × (2 hits)
    • Way 2: J ✓, D ×, M ✓ (2 hits)
    • Way 3: J ✓, D ×, M × (1 hit but does not work)
    • Way 4: J ×, D ✓, M ✓ (2 hits)
  3. Fill the Table:

    • Way 1: J ✓, D ✓, M ×
    • Way 2: J ✓, D ×, M ✓
    • Way 4: J ×, D ✓, M ✓
    • Way 3 is not valid since less than 2 hits.
    • Therefore, the completed table is:
Way 1Way 2Way 4
John
David
Mike

Step 2

Hence or otherwise find the probability that they will win the competition.

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Answer

To find the probability they will win the competition:

  1. Calculate Probabilities:
    • Probability of hitting the target:
      • John: P(J)=15P(J) = \frac{1}{5}, Miss: P(J)=1P(J)=45P(J') = 1 - P(J) = \frac{4}{5}.
      • David: P(D)=13P(D) = \frac{1}{3}, Miss: P(D)=1P(D)=23P(D') = 1 - P(D) = \frac{2}{3}.
      • Mike: P(M)=14P(M) = \frac{1}{4}, Miss: P(M)=1P(M)=34P(M') = 1 - P(M) = \frac{3}{4}.
  2. Probability of Winning:
    • Winning outcomes:
      • Way 1: P(Way1)=P(J)P(D)P(M)P(Way 1) = P(J)\cdot P(D)\cdot P(M')
      • Way 2: P(Way2)=P(J)P(D)P(M)P(Way 2) = P(J)\cdot P(D')\cdot P(M)
      • Way 4: P(Way4)=P(J)P(D)P(M)P(Way 4) = P(J')\cdot P(D)\cdot P(M)
  3. Combine the Probabilities:
    • P(Win)=P(Way1)+P(Way2)+P(Way4)P(Win) = P(Way 1) + P(Way 2) + P(Way 4)
    • Evaluate:
    • P(Win)=151334+152314+451314P(Win) = \frac{1}{5} \cdot \frac{1}{3} \cdot \frac{3}{4} + \frac{1}{5} \cdot \frac{2}{3} \cdot \frac{1}{4} + \frac{4}{5} \cdot \frac{1}{3} \cdot \frac{1}{4}
    • Simplify to get the final probability.

Step 3

Write $P(A)$ in terms of $x$ and hence, or otherwise, find the value of $x$ for which the events A and B are independent.

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Answer

  1. Define Events:
    • P(AB)=0.1P(A \cap B) = 0.1
    • P(B\A)=0.3P(B \backslash A) = 0.3
    • P(A\B)=xP(A \backslash B) = x
  2. Using the Union Formula:
    • P(AB)=P(A)+P(B)P(AB)P(A \cup B) = P(A) + P(B) - P(A \cap B)
    • Since P(B)=0.3+x+0.1P(B) = 0.3 + x + 0.1; (BB includes B\AB \backslash A, ABA \cap B, and A\BA \backslash B)
  3. Express P(A)P(A):
    • P(A)=P(AB)+P(A\B)=0.1+xP(A) = P(A \cap B) + P(A \backslash B) = 0.1 + x
  4. Independence Condition:
    • For independence: P(AB)=P(A)P(B)P(A \cap B) = P(A)P(B)
    • Substitute the values: 0.1=(0.1+x)(0.4+x)0.1 = (0.1 + x)(0.4 + x)
    • Solve for xx to find the independent case.

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