Let X take the value 0 if a child under age 5 uses no seat belt, 1 if the child uses an adult seat belt, and 2 if the child uses a child’s car seat, and it takes these values with probabilities .42, .11 and .47, respectively. Let Y take the value 1 if a child survived a motor vehicle accident and 0 otherwise. A study undertaken by the National Highway Traffic Safety Administration resulted in the following conditional distribution of Y given X: 1 0 P(Y = y|X = 0) .61 .39 P(Y = y|X = 1) .72 .28 P(Y = y|X = 2) .92 .08 (a) Find the marginal pmf of Y, (b) tabulate the joint distribution of X and Y, and (c) determine if X and Y are independent and justify your answer.
a)
marginal pmf of Y at Y=0
P(Y=1) = P(Y=1|X=0)*P(X=0)+P(Y=1|X=1)*P(X=1)+P(Y=1|X=2)*P(X=2)
=0.61*0.42+0.72*0.11+0.92*0.47 = 0.7678
P(Y=2)=P(Y=2|X=0)*P(X=0)+P(Y=2|X=1)*P(X=1)+P(Y=2|X=2)*P(X=2)
=0.39*0.42+0.28*0.11+0.08*0.47=0.2322
Y | 1 | 0 | total |
P(Y) | 0.7678 | 0.2322 | 1 |
b)
X/Y | 1 | 0 | total |
0 | 0.2562 | 0.1638 | 0.42 |
1 | 0.0792 | 0.0308 | 0.11 |
2 | 0.4324 | 0.0376 | 0.47 |
Total | 0.7678 | 0.2322 | 1 |
c)
for independent events P(X=x,Y=Y)=P(X=x)*P(Y=y)
P(X=0)=0.42
P(Y=0)=0.2322
P(X=0,Y=0)=0.1638
P(X=0)*P(Y=0) = 0.0975
since,P(X=0)*P(Y=0)╪P(X=0,Y=0)
so, X and Y are not indepednent
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