Chapter 7: Q. 7.7 (page 363)
Let be the smallest value obtained when numbers are randomly chosen from the set . Find by interpreting as a negative hypergeometric random variable.
Short Answer
The required mean is equal to.
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Chapter 7: Q. 7.7 (page 363)
Let be the smallest value obtained when numbers are randomly chosen from the set . Find by interpreting as a negative hypergeometric random variable.
The required mean is equal to.
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Between two distinct methods for manufacturing certain goods, the quality of goods produced by method is a continuous random variable having distribution . Suppose that goods are produced by method 1 and by method 2 . Rank the goods according to quality, and let
For the vector , which consists of and , let denote the number of runs of 1 . For instance, if , and , then . If (that is, if the two methods produce identically distributed goods), what are the mean and variance of ?
Let be a sequence of independent random variables having the probability mass function
The random variable is said to have the Cantor distribution.
Find and
Consider an urn containing a large number of coins, and suppose that each of the coins has some probability p of turning up heads when it is flipped. However, this value of varies from coin to coin. Suppose that the composition of the urn is such that if a coin is selected at random from it, then the value of the coin can be regarded as being the value of a random variable that is uniformly distributed over . If a coin is selected at random from the urn and flipped twice, compute the probability that
a. The first flip results in a head;
b. both flips result in heads.
We say that is stochastically larger than , written , if, for all ,
Show that if then when
(a) and are nonnegative random variables;
(b) and are arbitrary random variables. Hint:
Write as
where
Similarly, represent as . Then make use of part (a).
Let be independent random variables with the common distribution function, and suppose they are independent of , a geometric random variable with a parameter . Let
(a) Findby conditioning on.
(b) Find.
(c) Find
(d) Use (b) and (c) to rederive the probability you found in (a)
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