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Arka bought two cages of birds: Cage-I contains 5 parrots and 1 owl and Cage-II contains 6 parrots. One day Arka forgot to lock both cages and two birds flew from Cage-I to Cage-II (simultaneously). Then two birds flew back from cage-II to cage-I (simultaneously).

Assume that all the birds have equal chances of flying. 

On the basis of the above information, answer the following questions:-

(i) When two birds flew from Cage-I to Cage-II and two birds flew back from Cage-II to Cage-I then find the probability that the owl is still in Cage-I.

(ii) When two birds flew from Cage-I to Cage-II and two birds flew back from Cage-II to Cage-I, the owl is still seen in Cage-I, what is the probability that one parrot and the owl flew from Cage-I to Cage-II?

1 Answer

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Best answer

Let \(E_1\) be the event that one parrot and one owl flew from Cage-I

\(E_2\) be the event that two parrots flew from Cage-I

A be the event that the owl is still in Cage-I

(i) Total ways for A to happen

From Cage-I 1 parrot and 1 owl flew and then from Cage-II 1 parrot and 1 owl flew back + From Cage-I 1 parrot and 1 owl flew and then from Cage-II 2 parrots flew back + From Cage-I 2 parrots flew and then from Cage-II 2 parrots came back.

\(=\left(5_{C_1} \times 1_{C_1}\right)\left(7_{C_1} \times 1_{C_1}\right)+\left(5_{C_1} \times 1_{C_1}\right)\left(7_{C_2}\right)+\left(5_{C_2}\right)\left(8_{C_2}\right)\)

Probability that the owl is still in Cage-I \(=\mathrm{P}\left(E_1 \cap A\right)+\mathrm{P}\left(E_2 \cap A\right)\)

\(\frac{\left(5_{C_1} \times 1_{C_1}\right)\left(7_{C_1} \times 1_{C_1}\right)+\left(5_{C_2}\right)\left(8_{C_2}\right)}{\left(5_{C_1} \times 1_{C_1}\right)\left(7_{C_1} \times 1_{C_1}\right)+\left(5_{C_1} \times 1_{C_1}\right)\left(7_{C_2}\right)+\left(5_{C_2}\right)\left(8_{C_2}\right)}\)

\(=\frac{35+280}{35+105+280}\)

\(=\frac{315}{420}\)

\(=\frac{3}{4}\)

(ii) The probability that one parrot and the owl flew from Cage-I to Cage-II given that the owl is still in Cage-I is \(P\left(E_1 / A\right)\)

\(P\left(E_1 / A\right)=\frac{\mathrm{P}\left(E_1 \cap A\right)}{\mathrm{P}\left(E_1 \cap A\right)+\mathrm{P}\left(E_2 \cap A\right)}\quad(\text {by Baye's Theorem})\)

\(=\cfrac{\frac{35}{420}}{\frac{315}{420}}\)

\(=\frac{1}{9}\)

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