1 point) The joint probability mass function of XX and YY is given by p(1,1)=0.1p(2,1)=0.1p(3,1)=0.05p(1, 2)=0.05p(2,2)=0.3p(3,2)=0.1p(1,3)=0 .1p(2,3)=0.05p(3,3)=0.15 p(1,1)=0.1p(1,2)=0.05p(1,3)=0.1p(2, 1)=0.1p(2,2)=0.3p(2,3)=0.05p(3,1)=0 .05p(3,2)=0.1p(3,3)=0.15 (a) Compute the conditional mass function of YY given X=3X=3: P(Y=1|X=3)=P(Y=1|X=3)= P(Y=2|X=3)=P(Y=2|X=3)= P(Y=3|X=3)=P(Y=3|X=3)= (b) Are XX and YY independent? (enter YES or NO) (c) Compute the following probabilities: P(X+Y>2)=P(X+Y>2)= P(XY=3)=P(XY=3)= P(XY>1)=P(XY>1)=

Step-by-step explanation:

The given information shows that X and Y are two variables with  joint probability distribution as follows:

X/Y         1        2        3         Total

1            0.1    0.05     0.1       0.25  

2           0.1     0.3      0.05    0.45

3           0.05  0.1       0.15     0.3

Total    0.25   0.45    0.3      1.00

Thus, the required probability is:

The calculated probability value of Y =1, given that X = 3 is 0.5

The calculated probability value of Y =2, given that X = 3 is 1.00

The calculated probability value of Y =3, given that X = 3 is 1.50

B.

From the joint probability distribution table, we can see that the probability value of the intersection X = 3 and Y = 3 is 1.50

i.e

P(X =3, Y =3) = 1.5

However;

the marginal probability of X = 0.3

the marginal probability of Y = 0.3

P(X =3)(Y=3) = 0.3 × 0.3 = 0.09

∴

≠ P(X =3)(Y=3)

Thus;

NO, the random variables X and Y are not independent.

C.

P(X+Y > 2) = P(X =2, Y = 1) + P( Y =2, X=1) + P(Y = 3, X= 1) + P( Y =2, X=2) +

                    P(Y =3, X=2) + P(Y =1, X =3) + P( Y =2, X =2) +P(Y =3, X =3)

P(X+Y > 2) =  0.1 + 0.05 + 0.1 + 0.3 + 0.05 + 0.05 + 0.1 + 0.15

P(X+Y > 2) = 0.9

P(XY =3)   =    P(X =2, Y =1 ) + P( Y =1 , X = 2)

P(XY =3)   = 0.10 + 0.05

P(XY =3)   = 0.15

P(XY > 1) = 0.1 + 0.05 + 0.1 + 0.1 + 0.3 + 0.05 + 0.05 + 0.1 + 0.15

P(XY > 1) = 1.00

step-by-step explanation: