In: Statistics and Probability
1. In families with four children, you’re interested in the probabilities for the different possible numbers of girls in a family. Using theoretical probability (assume girls and boys are equally likely), compile a five-column table with the headings “0” through “4,” for the five possible numbers of girl children in a four-child family. Then, using “G” for girls and “B” for boys, list under each heading the various birth-order ways of achieving that number of girls in a family.
Then, use your table to calculate the following probabilities:
a. The probability of
1 girl
b. The probability of 2 girls
c. The probability of 4 girls
d. The probability the third child born is a girl
Solution:-
There are 50% chances that selected child would be girl or boy (assume girls and boys are equally likely)
Hence P :- Probability of success (selected child is a girl) = 0.5
Q :- Probability of failure (selected child is a boy) = 0.5
using Binomial distribution
P(X=x) = nCx Px Q(n-x)
P(X = 0) i.e No girl is selected
P(X = 0 ) = 4C0 * (0.5)0 * (0.5)(4-0)
P(X = 0 ) = 1 * 1* 0.0625 = 0.0625
P(X = 1) i.e 1 girl is selected
P(X = 1) = P(X=x) = nCx Px Q(n-x)
P(X = 1 ) = 4C1* (0.5)1 * (0.5)(4-1)
P(X = 1 ) = 4 * 0.5 * 0.125 = 0.25
P(X = 2) i.e 2 girl is selected
P(X = 2) = P(X=x) = nCx Px Q(n-x)
P(X = 2 ) = 4C2* (0.5)2 * (0.5)(4-2)
P(X = 2 ) = 6 * 0.25 * 0.25 = 0.375
P(X = 3) i.e 3 girl is selected
P(X = 3) = P(X=x) = nCx Px Q(n-x)
P(X = 3 ) = 4C3* (0.5)3 * (0.5)(4-3)
P(X = 3 ) = 4 * 0.125 * 0.5 = 0.25
P(X = 4) i.e 4 girl is selected
P(X = 4) = P(X=x) = nCx Px Q(n-x)
P(X = 4 ) = 4C4* (0.5)4 * (0.5)(4-4)
P(X = 4 ) = 1 * 0.0625 * 1 = 0.0625
Other Method is
Combination of boy and girl in 4 childern is 24 = 16
so our sample space would be
Selecting 0 Girl = BBBB = 1/16 = 0.0625 Selection 1 Girl = {BBBG BBGB BGBB GBBB } = 4 = 4/16 = 0.25 Selecting 2 Girl = {BBGG BGBG BGGB GBBG GBGB GGBB} = 6 = 6/16 = 0.375 Selecting 3 Girl = {BGGG GBGG GGBG GGGB} = 4 = 4/16 = 0.25 Selecting 4 Girl = {GGGG} = 1 = 1/16 = 0.0625
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