Chapter 1: Problem 10
Let \(X\) have the pmf $$ p(x)=\left(\frac{1}{2}\right)^{|x|}, \quad x=-1,-2,-3, \ldots $$ Find the pmf of \(Y=X^{4}\).
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Chapter 1: Problem 10
Let \(X\) have the pmf $$ p(x)=\left(\frac{1}{2}\right)^{|x|}, \quad x=-1,-2,-3, \ldots $$ Find the pmf of \(Y=X^{4}\).
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Let \(X\) have the exponential pdf, \(f(x)=\beta^{-1} \exp \\{-x / \beta\\},
0
Find the 25 th percentile of the distribution having pdf \(f(x)=|x| / 4\), where
\(-2
Find the complement \(C^{c}\) of the set \(C\) with respect to the space
\(\mathcal{C}\) if
(a) \(\mathcal{C}=\\{x: 0
Suppose a fair 6-sided die is rolled six independent times. A match occurs if side \(i\) is observed on the \(i\) th trial, \(i=1, \ldots, 6\) (a) What is the probability of at least one match on the six rolls? Hint: Let \(C_{i}\) be the event of a match on the \(i\) th trial and use Exercise \(1.4 .13\) to determine the desired probability. (b) Extend part (a) to a fair \(n\) -sided die with \(n\) independent rolls. Then determine the limit of the probability as \(n \rightarrow \infty\).
Let \(\psi(t)=\log M(t)\), where \(M(t)\) is the mgf of a distribution. Prove that \(\psi^{\prime}(0)=\mu\) and \(\psi^{\prime \prime}(0)=\sigma^{2} .\) The function \(\psi(t)\) is called the cumulant generating function.
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