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SOLUTION:[

The Probability of selecting a fair coin= 64/65

The Probability of getting 6 heads in a row with the fair coin= (1/2)^6= 1/64

The Probability of selecting the unfair 2-headed coin= 1/65

Probability of getting 6 heads in a row with the 2-headed coin= 1


If a coin, chosen at random from the bag and then tossed, turns up heads 6 times in a row, the probability that it is the two-headed coin(P (B/A))

= [(1/65)*1] / [{(64/65)*(1/64)}+{(1/65)*1}]
= (1/65)/(2/65)
= 1/2

Hence OPTION (E)[b]

[b]EXPLANATION:


[We are using the conditional probability, Bayes' theorem of P(B|A)= P(B) P(A|B) / P(A)
Where A has already occurred(we're getting 6 heads in a row) & B is the event we are interested in to calculate(coin is a 2 headed coin) when A has already occurred.

P(A/B)=Probability of getting 6 heads in a row, if coin is 2-headed= 1
P(B)=Probability that the coin is two- headed =1/65

P(B/A)=Probability of B, if A has already occurred

P(A)=Probability of getting 6 heads in a row=64/65)*(1/64)}+{(1/65)*1}
->Fair coin selected * probability to get 6 heads from them + two headed selected * probability to get 6 heads from it-]

Hope this helps :thumbsup:
Devmitra Sen(Math)
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This is a conditional probability question.

We know that P(A|B) = P(A and B)/P(B). We want the probability that A = the coin is loaded, given that B = we got 6 heads in a row.

First P(B) = P( 6 heads in a row) = (1/2^6)*(64/65) + 1*(1/65) = 2/65. This is a weighted probability.

Now, the probability that A is loaded and that we got six heads is just the probability that A is loaded, since if it is loaded we must have all heads. Thus, P(A and B) = P(A) = 1 / 65.

Putting it all together, P(A|B) = P(A and B)/P(B) = (1/65) / (2 / 65) = 1/2

Hence, E is the correct answer
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baye's theorem...

1/(64C1*2^-6+1C1*1)
= 1/2

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