In: Statistics and Probability
The joint pmf of ? and ? is given by ??,? (?, ?) = (? + ?)/ 27 ??? ? = 0, 1,2; ? = 1, 2, 3, and ??,? (?, ?) = 0 otherwise. a. Find ?(?|? = ?) for all ? = 0,1, 2. b. Find ?(3 + 0.2?|? = 2).
P?,? (?, ?) = (? + ?) / 27
So the joint distribution table looks like
X Y | 1 | 2 | 3 |
0 | 1/27 | 2/27 | 3/27 |
1 | 2/27 | 3/27 | 4/27 |
2 | 3/27 | 4/27 | 5/27 |
a)
Distrition of X-
X | 0 | 1 | 2 |
P(X) | 1/27+2/27+3/27=6/27 | 2/27+3/27+4/27=9/27 | 3/27+4/27+5/27=12/27 |
conditional distribution table of Y given x is P(?|? = ?)
For x=0
Y | 1 | 2 | 3 |
P(Y|X=0) | P(Y=1,X=0)/P(X=0) =(1/27)/(6/27) |
P(Y=2,X=0)/P(X=0) (2/27)/(6/27) |
P(Y=3,X=0)/P(X=0) = (3/27)/(6/27) |
Y | 1 | 2 | 3 |
P(Y|X=0) | 1/6 |
1/3 |
1/2 |
Expected value of (Y|X=0) = 1*1/6 + 2 * 1/3 + 3* 1/2 = 7/3 [Ans]
For x=1
Y | 1 | 2 | 3 |
P(Y|X=1) | P(Y=1,X=1)/P(X=1) =(2/27)/(9/27) |
P(Y=2,X=1)/P(X=1) (3/27)/(9/27) |
P(Y=3,X=1)/P(X=1) = (4/27)/(9/27) |
Y | 1 | 2 | 3 |
P(Y|X=1) | 2/9 |
1/3 |
4/9 |
Expected value of (Y|X=1) = 1*2/9 + 2 * 1/3 + 3* 4/9 = 20/9 [Ans]
For x=2
Y | 1 | 2 | 3 |
P(Y|X=2) | P(Y=1,X=2)/P(X=2) =(3/27)/(12/27) |
P(Y=2,X=2)/P(X=2) (4/27)/(12/27) |
P(Y=3,X=2)/P(X=2) = (5/27)/(12/27) |
Y | 1 | 2 | 3 |
P(Y|X=2) | 1/4 |
1/3 |
5/12 |
Expected value of (Y|X=2) = 1*1/4 + 2 * 1/3 + 3* 5/12 = 13/6 [Ans]
b)
?(3 + 0.2?|? = 2) = 3 + .2 * E(Y|X=2) =3 + .2 * 13/6 = 3.433 [Ans]
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