Chapter 6: Q.6.19 (page 276)
Let X1, X2, X3 be independent and identically distributed continuous random variables. Compute
(a) P{X1 > X2|X1 > X3};
(b) P{X1 > X2|X1 < X3};
(c) P{X1 > X2|X2 > X3};
(d) P{X1 > X2|X2 < X3}
Short Answer
a.
b.
c.
d.
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Chapter 6: Q.6.19 (page 276)
Let X1, X2, X3 be independent and identically distributed continuous random variables. Compute
(a) P{X1 > X2|X1 > X3};
(b) P{X1 > X2|X1 < X3};
(c) P{X1 > X2|X2 > X3};
(d) P{X1 > X2|X2 < X3}
a.
b.
c.
d.
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Consider an urn containing n balls numbered and suppose that k of them are randomly withdrawn. Let equal if ball number is removed and let be otherwise. Show that are exchangeable .
If X and Y are independent random variables both uniformly distributed over , find the joint density function of .
The time that it takes to service a car is an exponential random variable with rate .
(a) If A. J. brings his car in at timeand M. J. brings her car in at time t, what is the probability that M. J.’s car is ready before A. J.’s car? (Assume that service times are independent and service begins upon arrival of the car.)
(b) If both cars are brought in at time 0, with work starting on M. J.’s car only when A. J.’s car has been completely serviced, what is the probability that M. J.’s car is ready before time ?
The joint probability density function of X and Y is given by
f(x, y) = c(y2 − x2)e-y −y … x … y, 0 < y < q .
(a) Find c.
(b) Find the marginal densities of X and Y.
(c) Find E[X].
Let X1, ... , Xn be independent uniform (0, 1) random variables. Let R = X(n) − X(1) denote the range and M = [X(n) + X(1)]/2 the midrange of X1, ..., Xn. Compute the joint density function of R and M.
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