Chapter 5: Q.5.11 (page 215)
Let Z be a standard normal random variable Z, and let g be a differentiable function with derivative g'.
(a) Show that E[g'(Z)]=E[Zg(Z)];
(b) Show that E[Zn+]=nE[Zn-].
(c) Find E[Z].
Short Answer
Showing that ,
a)
b)
c)
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Chapter 5: Q.5.11 (page 215)
Let Z be a standard normal random variable Z, and let g be a differentiable function with derivative g'.
(a) Show that E[g'(Z)]=E[Zg(Z)];
(b) Show that E[Zn+]=nE[Zn-].
(c) Find E[Z].
Showing that ,
a)
b)
c)
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The life of a certain type of automobile tire is normally distributed with mean miles and standard deviation miles.
(a) What is the probability that such a tire lasts more than miles?
(b) What is the probability that it lasts between andmiles?
(c) Given that it has survived miles, what is the conditional probability that the tire survives another miles?
If is uniformly distributed over , what random variable, having a linear relation with , is uniformly distributed over
Two types of coins are produced at a factory: a fair coin and a biased one that comes up heads percent of the time. We have one of these coins but do not know whether it is a fair coin or a biased one. In order to ascertain which type of coin we have, we shall perform the following statistical test: We shall toss the coin times. If the coin lands on heads or more times, then we shall conclude that it is a biased coin, whereas if it lands on heads fewer than times, then we shall conclude that it is a fair coin.
The random variable X is said to be a discrete uniform random variable on the integers 1, 2, . . . , n if P{X = i } = 1 n i = 1, 2, . . , n For any nonnegative real number x, let In t(x) (sometimes written as [x]) be the largest integer that is less than or equal to x. Show that if U is a uniform random variable on (0, 1), then X = In t (n U) + 1 is a discrete uniform random variable on 1, . . . , n.
If is uniformly distributed over what is the probability that the roots of the equation are both real?
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