Chapter 1: Problem 23
If the pdf of \(X\) is \(f(x)=2 x e^{-x^{2}}, 0
Chapter 1: Problem 23
If the pdf of \(X\) is \(f(x)=2 x e^{-x^{2}}, 0
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Get started for freeA mode of the distribution of a random variable \(X\) is a value of \(x\) that
maximizes the pdf or pmf. 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
Let the three mutually independent events \(C_{1}, C_{2}\), and \(C_{3}\) be such that \(P\left(C_{1}\right)=P\left(C_{2}\right)=P\left(C_{3}\right)=\frac{1}{4} .\) Find \(P\left[\left(C_{1}^{c} \cap C_{2}^{c}\right) \cup C_{3}\right]\)
In a certain factory, machines I, II, and III are all producing springs of the same length. Machines I, II, and III produce \(1 \%, 4 \%\), and \(2 \%\) defective springs, respectively. Of the total production of springs in the factory, Machine I produces \(30 \%\), Machine II produces \(25 \%\), and Machine III produces \(45 \%\). (a) If one spring is selected at random from the total springs produced in a given day, determine the probability that it is defective. (b) Given that the selected spring is defective, find the conditional probability that it was produced by Machine II.
Suppose we are playing draw poker. We are dealt (from a well-shuffled deck) five cards, which contain four spades and another card of a different suit. We decide to discard the card of a different suit and draw one card from the remaining cards to complete a flush in spades (all five cards spades). Determine the probability of completing the flush.
Show that the following sequences of sets, \(\left\\{C_{k}\right\\}\), are nondecreasing, (1.2.16), then find \(\lim _{k \rightarrow \infty} C_{k}\). (a) \(C_{k}=\\{x: 1 / k \leq x \leq 3-1 / k\\}, k=1,2,3, \ldots\). (b) \(C_{k}=\left\\{(x, y): 1 / k \leq x^{2}+y^{2} \leq 4-1 / k\right\\}, k=1,2,3, \ldots\)
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