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MMLU-Pro / 12119 / A random variable R has a Rayleigh density f(r) = (r / …

Problem

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question

A random variable R has a Rayleigh density f(r) = (r / \alpha^2)e[{-(r)2} / {2(\alpha)2}],0 \leq r \leq \infty and = 0,r < 0 Determine the following: (a) the expected value or R, E [R] (b) the expected value of R^2, E [R^2] and (c) the variance \sigma^2 of R

category

engineering

options

  1. E[R] = \sqrt{\pi}\alpha/2, E[R^2] = \pi\alpha^2/2, \sigma_r^2 = (\pi - 3)\alpha^2/2
  2. E[R] = 2lpha^2, E[R^2] = [\surd(\pi / 2)] ullet lpha, \sigma_r^2 = lpha^2(0.43)
  3. E[R] = \alpha(1 - e^{-1/2}), E[R^2] = \alpha^2, \sigma_r^2 = \alpha^2(e - 2)
  4. E[R] = lpha^2(0.43), E[R^2] = [\surd(\pi / 2)] ullet lpha, \sigma_r^2 = 2lpha^2
  5. E[R] = \alpha\sqrt{e}, E[R^2] = \alpha^2\ln(2), \sigma_r^2 = \alpha^2(2 - e/\pi)
  6. E[R] = [\surd(\pi / 2)] ullet lpha, E[R^2] = 2lpha^2, \sigma_r^2 = lpha^2(0.43)
  7. E[R] = [\surd(\pi / 2)] ullet lpha, E[R^2] = lpha^2(0.43), \sigma_r^2 = 2lpha^2
  8. E[R] = \alpha^2, E[R^2] = (2/3)\alpha^2, \sigma_r^2 = (4 - \pi)\alpha^2/2
  9. E[R] = \alpha/\sqrt{2}, E[R^2] = \alpha^2, \sigma_r^2 = \alpha^2(\pi - 2)/2
  10. E[R] = \alpha\sqrt{2/\pi}, E[R^2] = 3\alpha^2/2, \sigma_r^2 = \alpha^2(1 - 2/\pi)

src

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