Solution:
The joint distribution of X and Y is
X/Y | 1 | 2 | 3 |
1 | 0.06 | 0.42 | 0.12 |
2 | 0.04 | 0.28 | 0.08 |
The marginal distribution of X is
X 1. 2 Total
P(X=x) 0.60. 0.40. 1
The marginal distribution of Y is
Y. 1. 2. 3. Total
P(Y= y). 0.10. 0.70. 0.20. 1
If two variables X and Y are said to be independent random variables if
P( X= x, Y= y) = P( X=x) . P( Y = y)
that is
Case 1) i= 1 and j= 1
P11 = 0.06 and P1. = 0.60
P.1 = 0.10
P1.* P.1 = 0.60*0.10
P1.*P.1= 0.06
P11= P1.*P.1
Case2 ) i= 1 and j = 2
P12= P1.*P.2
0.42 = 0.60* 0.70
0.42 = 0.42
P12 = P1.*P.2
Case3) i= 1 and j = 3
P13 = P1.* P.3
0.12 = 0.60* 0.20
0.12 = 0.12
P13 = P1.*P.3
Case 4) i= 2 and j = 2
P22= P2.* P.2
0.28 = 0.40* 0.70
0.28= 0.28
P22 = P2.*P.2
Case5) i = 2 and j = 3
P23 = P2.*P.3
0.08 = 0.40* 0.20
0.08 = 0.08
P23 = P2.*P.3
Hence X and Y are independent random variables
The joint distribution of X and Y is given by x/y 1 3 1 0.06 0.42 0.12 2 0.04 0.28 0.08 1. Are X and Y independent or dependent? 2. Prove your answer in part 1.
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