Chapter 1: Problem 23
Let \(C_{1}, C_{2}, C_{3}\) be independent events with probabilities \(\frac{1}{2}, \frac{1}{3}, \frac{1}{4}\), respectively. Compute \(P\left(C_{1} \cup C_{2} \cup C_{3}\right)\).
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Chapter 1: Problem 23
Let \(C_{1}, C_{2}, C_{3}\) be independent events with probabilities \(\frac{1}{2}, \frac{1}{3}, \frac{1}{4}\), respectively. Compute \(P\left(C_{1} \cup C_{2} \cup C_{3}\right)\).
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Two distinct integers are chosen at random and without replacement from the first six positive integers. Compute the expected value of the absolute value of the difference of these two numbers.
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The random variable \(X\) is said to be stochastically larger than the random variable \(Y\) if $$P(X>z) \geq P(Y>z)$$ for all real \(z\), with strict inequality holding for at least one \(z\) value. Show that this requires that the cdfs enjoy the following property $$F_{X}(z) \leq F_{Y}(z)$$ for all real \(z\), with strict inequality holding for at least one \(z\) value.
If \(C_{1}\) and \(C_{2}\) are independent events, show that the following pairs of events are also independent: (a) \(C_{1}\) and \(C_{2}^{c}\), (b) \(C_{1}^{c}\) and \(C_{2}\), and (c) \(C_{1}^{c}\) and \(C_{2}^{c}\). Hint: In (a), write \(P\left(C_{1} \cap C_{2}^{c}\right)=P\left(C_{1}\right) P\left(C_{2}^{c} \mid C_{1}\right)=P\left(C_{1}\right)\left[1-P\left(C_{2} \mid C_{1}\right)\right]\). From independence of \(C_{1}\) and \(C_{2}, P\left(C_{2} \mid C_{1}\right)=P\left(C_{2}\right)\).
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