A pair of siblings, Abbey and Betty, went to a book fair with six other friends. The eight of them stood in a queue in random order to get the autograph of a well-known writer. Find the probability that Abbey is first and Betty is sixth in the queue. either Abbey is first or Betty is second in the queue (or both). A man owns a wooden chest with three drawers. One drawer contains two gold coins, another contains one gold coin and one silver coin, and the last drawer contains two silver coins. A drawer is selected randomly and a coin is then selected randomly from that drawer. Given that a gold coin is selected, find the probability that the chosen drawer is the one that contains two gold coins. The man's two sons take turns to select a coin each from a drawer in the same manner, starting with the older son. What is the probability that the older son picks a gold coin, and the younger one picks a silver coin?

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Worked solution

11(a)((i))

1. Calculate the probability of the specific arrangement

Probability=Number of ways to arrange the remaining 6 peopleTotal number of ways to arrange 8 people=6!8!=18×7=156\text{Probability} = \frac{\text{Number of ways to arrange the remaining 6 people}}{\text{Total number of ways to arrange 8 people}} = \frac{6!}{8!} \\ = \frac{1}{8 \times 7} = \frac{1}{56}

Answer

156\frac{1}{56}

11(a)((ii))

1. Find the individual probabilities of Abbey being first and Betty being second, as well as the probability of both occurring together.

Let AA be the event that Abbey is first, and BB be the event that Betty is second.
P(A)=18P(A) = \frac{1}{8}
P(B)=18P(B) = \frac{1}{8}
The probability that both occur (Abbey is first and Betty is second) is:
P(A∩B)=P(A)×P(B∣A)=18×17=156P(A \cap B) = P(A) \times P(B|A) = \frac{1}{8} \times \frac{1}{7} = \frac{1}{56}

2. Apply the addition rule of probability to find the probability of either event occurring.

Using the formula P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B):
P(A∪B)=18+18−156P(A \cup B) = \frac{1}{8} + \frac{1}{8} - \frac{1}{56}
P(A∪B)=756+756−156P(A \cup B) = \frac{7}{56} + \frac{7}{56} - \frac{1}{56}
P(A∪B)=1356P(A \cup B) = \frac{13}{56}

Answer

1356\frac{13}{56}

11(b)((i))

1. Calculate the probability of picking a gold coin from the drawer with two gold coins

Let D1D_1 be the event of choosing the drawer with two gold coins.
P(D1∩Gold)=P(D1)×P(Gold∣D1)\text{P}(D_1 \cap \text{Gold}) = \text{P}(D_1) \times \text{P}(\text{Gold} \mid D_1)
P(D1∩Gold)=13×1=13\text{P}(D_1 \cap \text{Gold}) = \frac{1}{3} \times 1 = \frac{1}{3}

2. Calculate the total probability of picking a gold coin from any drawer

Let D2D_2 and D3D_3 be the events of choosing the drawers with one gold coin and no gold coins, respectively.
P(Gold)=P(D1∩Gold)+P(D2∩Gold)+P(D3∩Gold)\text{P}(\text{Gold}) = \text{P}(D_1 \cap \text{Gold}) + \text{P}(D_2 \cap \text{Gold}) + \text{P}(D_3 \cap \text{Gold})
P(Gold)=13+(13×12)+(13×0)\text{P}(\text{Gold}) = \frac{1}{3} + \left(\frac{1}{3} \times \frac{1}{2}\right) + \left(\frac{1}{3} \times 0\right)
P(Gold)=13+16+0=12\text{P}(\text{Gold}) = \frac{1}{3} + \frac{1}{6} + 0 = \frac{1}{2}

3. Apply the conditional probability formula to find the required probability

P(D1∣Gold)=P(D1∩Gold)P(Gold)\text{P}(D_1 \mid \text{Gold}) = \frac{\text{P}(D_1 \cap \text{Gold})}{\text{P}(\text{Gold})}
P(D1∣Gold)=1312=23\text{P}(D_1 \mid \text{Gold}) = \frac{\frac{1}{3}}{\frac{1}{2}} = \frac{2}{3}

Answer

23\frac{2}{3}

11(b)((ii))

1. Find the probabilities of the older son picking a gold coin from the first and second drawers.

Let D1D_1 contain 2 Gold (GG), D2D_2 contain 1 Gold and 1 Silver (GS), and D3D_3 contain 2 Silver (SS).
The older son chooses a drawer at random (probability 13\frac{1}{3}) and then a coin at random.
P(Older picks Gold from D1)=P(D1)×P(Gold∣D1)=13×1=13P(\text{Older picks Gold from } D_1) = P(D_1) \times P(\text{Gold} \mid D_1) = \frac{1}{3} \times 1 = \frac{1}{3}
P(Older picks Gold from D2)=P(D2)×P(Gold∣D2)=13×12=16P(\text{Older picks Gold from } D_2) = P(D_2) \times P(\text{Gold} \mid D_2) = \frac{1}{3} \times \frac{1}{2} = \frac{1}{6}
(Note: The probability of picking Gold from D3D_3 is 00).

2. Determine the probability of the younger son picking a silver coin if the older son took a gold coin from $D_1$.

If the older son took a Gold coin from D1D_1, the drawers now contain:

  • D1D_1: 1 Gold
  • D2D_2: 1 Gold, 1 Silver
  • D3D_3: 2 Silver

The younger son selects a drawer at random (probability 13\frac{1}{3} each) and a coin from it.
P(Younger picks Silver∣Older picks Gold from D1)P(\text{Younger picks Silver} \mid \text{Older picks Gold from } D_1)
=P(D1)P(Silver∣D1)+P(D2)P(Silver∣D2)+P(D3)P(Silver∣D3)= P(D_1)P(\text{Silver} \mid D_1) + P(D_2)P(\text{Silver} \mid D_2) + P(D_3)P(\text{Silver} \mid D_3)
=13(0)+13(12)+13(1)= \frac{1}{3}(0) + \frac{1}{3}\left(\frac{1}{2}\right) + \frac{1}{3}(1)
=0+16+13=12= 0 + \frac{1}{6} + \frac{1}{3} = \frac{1}{2}

3. Determine the probability of the younger son picking a silver coin if the older son took a gold coin from $D_2$.

If the older son took a Gold coin from D2D_2, the drawers now contain:

  • D1D_1: 2 Gold
  • D2D_2: 1 Silver
  • D3D_3: 2 Silver

P(Younger picks Silver∣Older picks Gold from D2)P(\text{Younger picks Silver} \mid \text{Older picks Gold from } D_2)
=P(D1)P(Silver∣D1)+P(D2)P(Silver∣D2)+P(D3)P(Silver∣D3)= P(D_1)P(\text{Silver} \mid D_1) + P(D_2)P(\text{Silver} \mid D_2) + P(D_3)P(\text{Silver} \mid D_3)
=13(0)+13(1)+13(1)= \frac{1}{3}(0) + \frac{1}{3}(1) + \frac{1}{3}(1)
=0+13+13=23= 0 + \frac{1}{3} + \frac{1}{3} = \frac{2}{3}

4. Calculate the total probability of the older son picking a gold coin and the younger son picking a silver coin.

Using the law of total probability to combine the mutually exclusive cases:
P(Older Gold and Younger Silver)P(\text{Older Gold and Younger Silver})
=P(Older picks Gold from D1)×P(Younger picks Silver∣Older picks Gold from D1)+P(Older picks Gold from D2)×P(Younger picks Silver∣Older picks Gold from D2)= P(\text{Older picks Gold from } D_1) \times P(\text{Younger picks Silver} \mid \text{Older picks Gold from } D_1) \\ \quad + P(\text{Older picks Gold from } D_2) \times P(\text{Younger picks Silver} \mid \text{Older picks Gold from } D_2)
=(13×12)+(16×23)= \left(\frac{1}{3} \times \frac{1}{2}\right) + \left(\frac{1}{6} \times \frac{2}{3}\right)
=16+218= \frac{1}{6} + \frac{2}{18}
=318+218=518= \frac{3}{18} + \frac{2}{18} = \frac{5}{18}

Answer

518\frac{5}{18}

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