Chapter 1: Problem 4
Given \(\int_{C}\left[1 / \pi\left(1+x^{2}\right)\right] d x\), where \(C \subset
\mathcal{C}=\\{x:-\infty
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Chapter 1: Problem 4
Given \(\int_{C}\left[1 / \pi\left(1+x^{2}\right)\right] d x\), where \(C \subset
\mathcal{C}=\\{x:-\infty
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Cards are drawn at random and with replacement from an ordinary deck of 52 cards until a spade appears. (a) What is the probability that at least 4 draws are necessary? (b) Same as part (a), except the cards are drawn without replacement.
A mode of a distribution of one random variable \(X\) is a value of \(x\) that
maximizes the pdf or pmf. For \(X\) of the continuous type, \(f(x)\) must be
continuous. If there is only one such \(x\), it is called the mode of the
distribution. Find the mode of each of the following distributions:
(a) \(p(x)=\left(\frac{1}{2}\right)^{x}, x=1,2,3, \ldots\), zero elsewhere.
(b) \(f(x)=12 x^{2}(1-x), 0
For each of the following pdfs of \(X\), find \(P(|X|<1)\) and
\(P\left(X^{2}<9\right)\).
(a) \(f(x)=x^{2} / 18,-3
Let \(X\) have the pdf \(f(x)=3 x^{2}, 0
Let \(X\) be a random variable of the continuous type that has pdf \(f(x)\). If \(m\) is the unique median of the distribution of \(X\) and \(b\) is a real constant, show that $$E(|X-b|)=E(|X-m|)+2 \int_{m}^{b}(b-x) f(x) d x$$ provided that the expectations exist. For what value of \(b\) is \(E(|X-b|)\) a minimum?
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