Question
Question: Family A has 6 members of which 4 are males and 2 are females & family B has 5 members consisting at...
Family A has 6 members of which 4 are males and 2 are females & family B has 5 members consisting at least one male and one female. (Assume it is equiprobable for a member of unknown gender to be a male or female). 2 members are selected randomly either from family A or family B. If both the members are female, then the probability that they belong to family A is equal to p. The value of 9p is equal to

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Solution
Let A be the event that the two selected members belong to family A.
Let B be the event that the two selected members belong to family B.
Since the selection is made randomly either from family A or family B, we assume P(A) = P(B) = 1/2.
Let E be the event that both selected members are female.
We want to find p = P(A|E). Using Bayes' theorem:
p=P(A∣E)=P(E∣A)P(A)+P(E∣B)P(B)P(E∣A)P(A)
First, calculate P(E|A).
Family A has 6 members: 4 males and 2 females.
The number of ways to select 2 members from 6 is (26)=26×5=15.
The number of ways to select 2 females from 2 is (22)=1.
So, P(E∣A)=(26)(22)=151.
Next, calculate P(E|B).
Family B has 5 members, consisting of at least one male and one female.
The possible compositions of family B (Males, Females) are (1, 4), (2, 3), (3, 2), (4, 1).
The statement "Assume it is equiprobable for a member of unknown gender to be a male or female" suggests a process where each of the 5 members' gender is determined independently with P(Male)=1/2 and P(Female)=1/2. A composition with k females and 5-k males has a probability of (k5)(1/2)k(1/2)5−k=(k5)(1/2)5.
The constraint is "at least one male and one female", which means the number of females k must be between 1 and 4 (inclusive).
The probability of getting a composition with k females, given the constraint, is P(k females ∣1≤k≤4)=P(1≤k≤4)P(k females and 1≤k≤4).
If 1≤k≤4, the condition 1≤k≤4 is met. So, P(k females ∣1≤k≤4)=P(1≤k≤4)P(k females).
P(k females)=(k5)(1/2)5=(k5)/32.
P(1≤k≤4)=1−P(k=0)−P(k=5)=1−(05)/32−(55)/32=1−1/32−1/32=30/32.
So, the probability of family B having k females (where 1≤k≤4) is 30/32(k5)/32=30(k5).
Let Ck be the event that family B has k females (and 5-k males).
P(C1)=(15)/30=5/30=1/6 (4M, 1F)
P(C2)=(25)/30=10/30=1/3 (3M, 2F)
P(C3)=(35)/30=10/30=1/3 (2M, 3F)
P(C4)=(45)/30=5/30=1/6 (1M, 4F)
Now, we calculate P(E|B) using the law of total probability: P(E∣B)=∑k=14P(E∣Ck)P(Ck).
If family B has k females, the probability of selecting 2 females is (25)(2k).
(25)=10.
P(E∣C1)=10(21)=0/10=0.
P(E∣C2)=10(22)=1/10.
P(E∣C3)=10(23)=3/10.
P(E∣C4)=10(24)=6/10=3/5.
P(E∣B)=P(E∣C1)P(C1)+P(E∣C2)P(C2)+P(E∣C3)P(C3)+P(E∣C4)P(C4)
P(E∣B)=(0)(1/6)+(1/10)(1/3)+(3/10)(1/3)+(3/5)(1/6)
P(E∣B)=0+1/30+3/30+3/30=7/30.
Now substitute the values into Bayes' theorem formula for p:
p=P(E∣A)P(A)+P(E∣B)P(B)P(E∣A)P(A)
p=(1/15)(1/2)+(7/30)(1/2)(1/15)(1/2)
p=1/30+7/601/30
The denominator is 1/30+7/60=2/60+7/60=9/60=3/20.
p=3/201/30=301×320=9020=92.
The value of p is 2/9.
We are asked to find the value of 9p.
9p=9×92=2.