Use the probability distribution given in the table below and consider two new random variables, W = 6+7X and V =3+1Y,
to answer the following questions
Joint Distribution of Weather Conditions and Commuting Times |
|||
Rain(X= 0) | No Rain(X= 1) |
Total |
|
Long commute(Y= 0) |
0.79 |
0.03 |
0.82 |
Short commute(Y= 1) |
0.04 |
0.14 |
0.18 |
Total |
0.83 |
0.17 |
1.00 |
A.Compute the mean of W.
E(W)= (Round your response to two decimal places)
B.Compute the mean of V.
E(V)= (Round your response to two decimal places)
C. Compute the variance of W.
W= (Round your response to four decimal places)
D. Compute the variance of V.
V= (Round your response to four decimal places)
E.Compute the covariance between W and V.
F.Compute the correlation between W and V.
a) E(W) = E(6 + 7X)
= E(6) + 7E(X)
= 6 + 7 x [(0 x 0.83) + (1 x 0.17)]
= 6 + 7x(0 + 0.17)
= 6 + 1.19
= 7.19 is the answer.
b) E(V) = E(3 + Y)
= E(3) + E(Y)
= 3 + [(0 x 0.82) + (1 x 0.18)]
= 3 + (0 + 0.18)
= 3 + 0.18
= 3.18 is the answer.
c) var(X) = X2P(X) - [XP(X)]2
= E(X2) - [E(X)]2
= [(0 x 0.83) + (1 x 0.17)] - (0.17)2
= 0.17 + 0.0289
= 0.1411
var(W) = var(6 + 7X)
= (7)2 x var(X)
= 49 x 0.1411
= 6.9139 is the answer.
d) var(Y) = var(3 + Y)
= var(Y)
= Y2P(Y) - [ YP(Y)]2
= [(0 x 0.82) + (1 x 0.18)] - (0.18)2
= E(Y2) - [E(Y)]2
= 0.18 - 0.0324
= 0.1476 is the answer.
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