Chapter 6: Q.6.10 (page 271)
Short Answer
(a)
Chapter 6: Q.6.10 (page 271)
(a)
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Get started for freeIf U is uniform on and Z, independent of U, is exponential with rate , show directly (without using the results of Example b) that X and Y defined by
are independent standard normal random variables.
If X and Y are independent continuous positive random variables, express the density function of (a) Z = X/Y and (b) Z = XY in terms of the density functions of X and Y. Evaluate the density functions in the special case where X and Y are both exponential random variables
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 bin of 5 transistors is known to contain 2 that are defective. The transistors are to be tested, one at a time, until the defective ones are identified. Denote by N1 the number of tests made until the first defective is identified and by N2 the number of additional tests until the second defective is identified. Find the joint probability mass function of N1 and N2.
Each throw of an unfair die lands on each of the odd numbers with probability C and on each of the even numbers with probability .
(a) Find C.
(b) Suppose that the die is tossed. Let X equal if the result is an even number, and let it be otherwise. Also, let Y equal if the result is a number greater than three and let it be otherwise. Find the joint probability mass function of X and Y. Suppose now that independent tosses of the die are made.
(c) Find the probability that each of the six outcomes occurs exactly twice.
(d) Find the probability that of the outcomes are either one or two, are either three or four, and are either five or six.
(e) Find the probability that at least of the tosses land on even numbers.
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