Chapter 7: Q.7.38 (page 355)
The random variables X and Y have a joint density function is given by
Compute
Short Answer
The computation ofis
Chapter 7: Q.7.38 (page 355)
The random variables X and Y have a joint density function is given by
Compute
The computation ofis
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Get started for freeIn Example 4f, we showed that the covariance of the multinomial random variables and is equal to by expressing and as the sum of indicator variables. We could also have obtained that result by using the formula
(a) What is the distribution of ?
(b) Use the preceding identity to show that
Consider independent trials, the of which results in a success with probability .
(a) Compute the expected number of successes in the trials-call it
(b) For a fixed value of , what choice of maximizes the variance of the number of successes?
(c) What choice minimizes the variance?
There are n items in a box labeled H and m in a box labeled T. A coin that comes up heads with probability p and tails with probability 1 − p is flipped. Each time it comes up heads, an item is removed from the H box, and each time it comes up tails, an item is removed from the T box. (If a box is empty and its outcome occurs, then no items are removed.) Find the expected number of coin flips needed for both boxes to become empty. Hint: Condition on the number of heads in the first n + m flips.
Cards from an ordinary deck are turned face up one at a time. Compute the expected number of cards that need to be turned face up in order to obtain
(a) 2 aces;
(b) 5 spades;
(c) all 13 hearts.
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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