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In Galway, rain falls in the morning on $ rac{1}{3}$ of the school days in the year - Leaving Cert Mathematics - Question b - 2017

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In Galway, rain falls in the morning on $ rac{1}{3}$ of the school days in the year. When it is raining the probability of heavy traffic is $ rac{1}{2}$. When it i... show full transcript

Worked Solution & Example Answer:In Galway, rain falls in the morning on $ rac{1}{3}$ of the school days in the year - Leaving Cert Mathematics - Question b - 2017

Step 1

Write the probability associated with each branch of the tree diagram and the probability of each outcome into the blank boxes provided.

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Answer

To fill in the probabilities in the tree diagram, we can calculate each branch step-by-step:

  1. Rain (RR) Probability:

    • P(R) = rac{1}{3}
    • P(no R) = rac{2}{3}
  2. Heavy Traffic (TT) Probability when it Rains:

    • P(T|R) = rac{1}{2}
    • P(no T|R) = rac{1}{2}
  3. Late (LL) Probability when Rains with Heavy Traffic:

    • P(L|R,T) = rac{1}{2}
    • P(no L|R,T) = rac{1}{2}
  4. Late (LL) Probability when it Rains without Heavy Traffic:

    • P(L|R,no T) = rac{5}{12}
    • P(no L|R,no T) = rac{7}{12}
  5. Heavy Traffic (TT) Probability when it does not Rain:

    • P(T|no R) = rac{1}{4}
    • P(no T|no R) = rac{3}{4}
  6. Late (LL) Probability when it does not Rain with Heavy Traffic:

    • P(L|no R,T) = rac{1}{12}
  7. Late (LL) Probability when it does not Rain without Heavy Traffic:

    • P(L|no R,no T) = rac{1}{8}
  8. Final Probabilities (Outcomes):

    • P(R,T,L) = P(R) imes P(T|R) imes P(L|R,T) = rac{1}{3} imes rac{1}{2} imes rac{1}{2} = rac{1}{12}
    • P(R,T,no L) = P(R) imes P(T|R) imes P(no L|R,T) = rac{1}{3} imes rac{1}{2} imes rac{1}{2} = rac{1}{12}
    • P(R,no T,L) = P(R) imes P(no T|R) imes P(L|R,no T) = rac{1}{3} imes rac{1}{2} imes rac{5}{12} = rac{5}{72}
    • P(R,no T,no L) = P(R) imes P(no T|R) imes P(no L|R,no T) = rac{1}{3} imes rac{1}{2} imes rac{7}{12} = rac{7}{72}
    • P(no R,T,L) = P(no R) imes P(T|no R) imes P(L|no R,T) = rac{2}{3} imes rac{1}{4} imes rac{1}{12} = rac{1}{72}
    • P(no R,T,no L) = P(no R) imes P(T|no R) imes P(no L|no R,T) = rac{2}{3} imes rac{1}{4} imes rac{11}{12} = rac{11}{72}
    • P(no R,no T,L) = P(no R) imes P(no T|no R) imes P(L|no R,no T) = rac{2}{3} imes rac{3}{4} imes rac{1}{8} = rac{1}{32}
    • P(no R,no T,no L) = P(no R) imes P(no T|no R) imes P(no L|no R,no T) = rac{2}{3} imes rac{3}{4} imes rac{7}{8} = rac{7}{32}

Step 2

On a random school day in Galway, find the probability of being late for school.

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Answer

To find the total probability of being late for school, we sum up the probabilities from all relevant scenarios:

  1. For When it Rains:
    • P(R)imesP(TR)imesP(LR,T)+P(R) imes P(T|R) imes P(L|R,T) +
    • P(R)imesP(noTR)imesP(LR,noT)P(R) imes P(no T|R) imes P(L|R,no T)
  2. For When it does Not Rain:
    • P(noR)imesP(TnoR)imesP(LnoR,T)+P(no R) imes P(T|no R) imes P(L|no R,T) +
    • P(noR)imesP(noTnoR)imesP(LnoR,noT)P(no R) imes P(no T|no R) imes P(L|no R,no T)

Calculating these together, we find:

P(L)=P(R,T,L)+P(R,noT,L)+P(noR,T,L)+P(noR,noT,LP(L) = P(R,T,L) + P(R,no T,L) + P(no R,T,L) + P(no R,no T,L

= rac{1}{12} + rac{5}{72} + rac{1}{72} + rac{1}{32}

Finding a common denominator (which is 144):

P(L) = rac{12}{144} + rac{10}{144} + rac{2}{144} + rac{4.5}{144} = rac{34.5}{144}

Simplifying this gives us:

= 0.239$\ ext{(approximately)}

Step 3

On a random school day in Galway, find the probability that it rained in the morning, given that you were late for school.

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Answer

To find this probability, we can use Bayes' Theorem:

P(RL)=P(RL)P(L)P(R|L) = \frac{P(R \cap L)}{P(L)}

  1. Finding P(RL)P(R \cap L):

    • This includes cases where it rained and you were late: P(RL)=P(R,T,L)+P(R,noT,L)P(R \cap L) = P(R,T,L) + P(R,no T,L)

    • Calculating: P(R \cap L) = rac{1}{12} + rac{5}{72} = rac{6}{72} + rac{5}{72} = rac{11}{72}

  2. Using the Total probability of being late from (ii):

    • From previous answer, we have: P(L)=0.239P(L) = 0.239
  3. Calculating:

    P(RL)=P(RL)P(L)=11/7234.5/144P(R|L) = \frac{P(R \cap L)}{P(L)} = \frac{11/72}{34.5/144}

    • This simplifies to: =11imes14472imes34.5= \frac{11 imes 144}{72 imes 34.5}
    • Further simplification leads to: =1151extorapproximately0.216= \frac{11}{51} ext{ or approximately } 0.216

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