Chapter 3: Problem 5
Show that the constant \(c\) can be selected so that \(f(x)=c
2^{-x^{2}},-\infty
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Chapter 3: Problem 5
Show that the constant \(c\) can be selected so that \(f(x)=c
2^{-x^{2}},-\infty
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Let \(X\) have a Poisson distribution with mean 1. Compute, if it exists, the expected value \(E(X !)\).
If \(X\) is \(N(75,25)\), find the conditional probability that \(X\) is greater than 80 given that \(X\) is greater than 77 . See Exercise \(2.3 .12\).
For the Burr distribution, show that $$E\left(X^{k}\right)=\frac{1}{\beta^{k / \tau}} \Gamma\left(\alpha-\frac{k}{\tau}\right) \Gamma\left(\frac{k}{\tau}+1\right) / \Gamma(\alpha)$$ provided \(k<\alpha \tau\)
Using the computer, obtain plots of the pdfs of chi-squared distributions with degrees of freedom \(r=1,2,5,10,20\). Comment on the plots.
Let the pmf \(p(x)\) be positive on and only on the nonnegative integers. Given that \(p(x)=(4 / x) p(x-1), x=1,2,3, \ldots\), find the formula for \(p(x)\). Hint: Note that \(p(1)=4 p(0), p(2)=\left(4^{2} / 2 !\right) p(0)\), and so on. That is, find each \(p(x)\) in terms of \(p(0)\) and then determine \(p(0)\) from $$1=p(0)+p(1)+p(2)+\cdots$$
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