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Let \(X\) be an exponential random variable. Without any computations, tell which one of the following is correct. Explain your answer. (a) \(E\left[X^{2} \mid X>1\right]=E\left[(X+1)^{2}\right]\) (b) \(E\left[X^{2} \mid X>1\right]=E\left[X^{2}\right]+1\) (c) \(E\left[X^{2} \mid X>1\right]=(1+E[X])^{2}\)

Short Answer

Expert verified
The correct answer is option (c): \(E\left[X^{2} \mid X>1\right]=(1+E[X])^{2}\). This is because both sides of the equation involve the expected value, \(E[X]\), and by comparison, this option is more plausible than the other two options.

Step by step solution

01

Consider Option (a) - Comparing the expressions

Option (a) states that: \(E\left[X^{2} \mid X>1\right]=E\left[(X+1)^{2}\right]\). We have a conditional expectation on the left-hand side, while it's an unconditional expectation on the right-hand side. These two expressions are not equal because the left-hand side is an expected value given a condition, whereas the right-hand side is an expected value without any conditions. This option can be eliminated.
02

Consider Option (b) - Comparing the expressions

Option (b) states that: \(E\left[X^{2} \mid X>1\right]=E\left[X^{2}\right]+1\). The left-hand side of the equation represents the conditional expected value of \(X^2\) given \(X>1\). The right-hand side is the expected value of \(X^2\) plus one. These two expressions are not equal. They could be equal if there were the same condition on the right-hand side, but there isn't, and therefore this option is wrong and can be eliminated.
03

Consider Option (c) - Comparing the expressions

Option (c) states that: \(E\left[X^{2} \mid X>1\right]=(1+E[X])^{2}\). If we analyze this equation, both sides involve the expected value \(E[X]\). The left-hand side has a conditional expectation of \(X^2\) given \(X > 1\). The right-hand side contains the square of the expected value of the random variable \(X\), offset by 1. By comparison, this option seems more plausible than the other two options. Thus, we can conclude that option (c) is the correct choice: \(E\left[X^{2} \mid X>1\right]=(1+E[X])^{2}\).

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Most popular questions from this chapter

Consider a two-server system in which a customer is served first by server 1, then by server 2, and then departs. The service times at server \(i\) are exponential random variables with rates \(\mu_{i}, i=1,2 .\) When you arrive, you find server 1 free and two customers at server 2 -customer \(\mathrm{A}\) in service and customer \(\mathrm{B}\) waiting in line. (a) Find \(P_{A}\), the probability that \(A\) is still in service when you move over to server 2 . (b) Find \(P_{B}\), the probability that \(B\) is still in the system when you move over to server 2 . (c) Find \(E[T]\), where \(T\) is the time that you spend in the system. Hint: Write $$ T=S_{1}+S_{2}+W_{A}+W_{B} $$ where \(S_{i}\) is your service time at server \(i, W_{A}\) is the amount of time you wait in queue while \(A\) is being served, and \(W_{B}\) is the amount of time you wait in queue while \(B\) is being served.

A flashlight needs two batteries to be operational. Consider such a flashlight along with a set of \(n\) functional batteries-battery 1 , battery \(2, \ldots\), battery \(n .\) Initially, battery 1 and 2 are installed. Whenever a battery fails, it is immediately replaced by the lowest numbered functional battery that has not yet been put in use. Suppose that the lifetimes of the different batteries are independent exponential random variables each having rate \(\mu .\) At a random time, call it \(T\), a battery will fail and our stockpile will be empty. At that moment exactly one of the batteries-which we call battery \(X\) -will not yet have failed. (a) What is \(P[X=n\\}\) ? (b) What is \(P[X=1\\} ?\) (c) What is \(P[X=i\\} ?\) (d) Find \(E[T]\). (e) What is the distribution of \(T ?\)

In Example \(5.3\) if server \(i\) serves at an exponential rate \(\lambda_{i}, i=1,2\), show that \(P\\{\) Smith is not last \(\\}=\left(\frac{\lambda_{1}}{\lambda_{1}+\lambda_{2}}\right)^{2}+\left(\frac{\lambda_{2}}{\lambda_{1}+\lambda_{2}}\right)^{2}\)

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