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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Let be a set of independent and identically distributed continuous random variables having distribution function F, and let denote their ordered values. If X, independent of the, also has distribution F, determine
(a) ;
(b) ;
(c) .
The joint density of X and Y is given by
(a) Find C.
(b) Find the density function of X.
(c) Find the density function of Y.
(d) Find E[X].
(e) Find E[Y].
Suppose that A, B, C, are independent random variables, each being uniformly distributed over.
(a) What is the joint cumulative distribution function of A, B, C?
(b) What is the probability that all of the roots of the equation are real?
An insurance company supposes that each person has an accident parameter and that the yearly number of accidents of someone whose accident parameter is λ is Poisson distributed with mean λ. They also suppose that the parameter value of a newly insured person can be assumed to be the value of a gamma random variable with parameters s and α. If a newly insured person has n accidents in her first year, find the conditional density of her accident parameter. Also, determine the expected number of accidents that she will have in the following year.
Two fair dice are rolled. Find the joint probability mass function of and when
(a) is the largest value obtained on any die andis the sum of the values;
(b) is the value on the first die and is the larger of the two values;
(c) is the smallest and is the largest value obtained on the dice.
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