Suppose that a random variable $X$ follows a Poisson distribution. If $P(X=1) = P(X=2)$,then $P(X=5)$ is equal to:

  • A
    $\frac{2}{3} e^{-2}$
  • B
    $\frac{3}{4} e^{-2}$
  • C
    $\frac{4}{15} e^{-2}$
  • D
    $\frac{7}{8} e^{-2}$

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Let a sample space be $S = \{\omega_{1}, \omega_{2}, \ldots, \omega_{6}\}$. Which of the following assignments of probabilities to each outcome is valid?
OutcomeProbability
$\omega_{1}$$\frac{1}{12}$
$\omega_{2}$$\frac{1}{12}$
$\omega_{3}$$\frac{1}{6}$
$\omega_{4}$$\frac{1}{6}$
$\omega_{5}$$\frac{1}{6}$
$\omega_{6}$$\frac{3}{2}$

$A$ random variable $X$ takes the values $1, 2, 3$ and $4$ such that $2 P(X=1) = 3 P(X=2) = P(X=3) = 5 P(X=4)$. If $\sigma^2$ is the variance and $\mu$ is the mean of $X$,then $\sigma^2 + \mu^2 =$

If a variable takes values $0, 1, 2, ..., n$ with frequencies proportional to the binomial coefficients $^nC_0, ^nC_1, ..., ^nC_n$,find the mean of the distribution.

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In a Poisson distribution,if $\frac{P(X=5)}{P(X=2)}=\frac{1}{7500}$ and $\frac{P(X=5)}{P(X=3)}=\frac{1}{500}$,then the mean of the distribution is

The p.m.f of a random variable $X$ is $P(X=x)=\frac{1}{2^5}\binom{5}{x}$,where $x=0, 1, 2, 3, 4, 5$ and $P(X=x)=0$ otherwise. Then:

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