Chapter 3: Problem 73
Suppose that we continually roll a die until the sum of all throws exceeds 100 . What is the most likely value of this total when you stop?
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Chapter 3: Problem 73
Suppose that we continually roll a die until the sum of all throws exceeds 100 . What is the most likely value of this total when you stop?
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The number of claims received at an insurance company during a week is a random variable with mean \(\mu_{1}\) and variance \(\sigma_{1}^{2} .\) The amount paid in each claim is a random variable with mean \(\mu_{2}\) and variance \(\sigma_{2}^{2}\). Find the mean and variance of the amount of money paid by the insurance company each week. What independence assumptions are you making? Are these assumptions reasonable?
A gambler wins each game with probability \(p .\) In each of the following cases, determine the expected total number of wins. (a) The gambler will play \(n\) games; if he wins \(X\) of these games, then he will play an additional \(X\) games before stopping. (b) The gambler will play until he wins; if it takes him \(Y\) games to get this win, then he will play an additional \(Y\) games.
Let \(X_{1}\) and \(X_{2}\) be independent geometric random variables having the same parameter \(p\). Guess the value of $$ P\left\\{X_{1}=i \mid X_{1}+X_{2}=n\right\\} $$ Hint: Suppose a coin having probability \(p\) of coming up heads is continually flipped. If the second head occurs on flip number \(n\), what is the conditional probability that the first head was on flip number \(i, i=1, \ldots, n-1 ?\) Verify your guess analytically.
Let \(X\) be exponential with mean \(1 / \lambda\); that is,
$$
f_{X}(x)=\lambda e^{-\lambda x}, \quad 0
The joint density of \(X\) and \(Y\) is given by
$$
f(x, y)=\frac{e^{-y}}{y}, \quad 0
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