Chapter 7: Q. 7.66 (page 357)
In Example 5c, compute the variance of the length of time until the miner reaches safety.
Short Answer
The required variance is equal to value are.
Chapter 7: Q. 7.66 (page 357)
In Example 5c, compute the variance of the length of time until the miner reaches safety.
The required variance is equal to value are.
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Get started for freeConsider 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.
In the text, we noted that
when the are all nonnegative random variables. Since
an integral is a limit of sums, one might expect that
whenever are all nonnegative random
variables; this result is indeed true. Use it to give another proof of the result that for a nonnegative random variable ,
Hint: Define, for each nonnegative , the random variable
by
role="math" localid="1647348183162"
Now relate
Suppose that the expected number of accidents per week at an industrial plant is . Suppose also that the numbers of workers injured in each accident are independent random variables with a common mean of . If the number of workers injured in each accident is independent of the number of accidents that occur, compute the expected number of workers injured in a week .
Let X be the length of the initial run in a random ordering of n ones and m zeros. That is, if the first k values are the same (either all ones or all zeros), then X Ú k. Find E[X].
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 ?
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