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Let X be Poisson variate with mean \(\lambda\). Then distribution function of X, evaluated at 1.5 is :

  • A.0
  • B.less than \(e^{-\lambda}\)
  • C.equal to \((\lambda + 1)e^{-\lambda}\)
  • D.greater than \(\lambda(\lambda + 1)e^{-\lambda}\)

Answer: C

The value is equal to \((\lambda + 1)e^{-\lambda}\).

A Poisson variable takes only integer values, so its distribution function is a step function, and \(F(1.5) = P(X \le 1.5) = P(X \le 1)\):

\[ \begin{aligned} &P(X = 0) + P(X = 1) \\ &= e^{-\lambda} + \lambda e^{-\lambda} \\ &= (\lambda + 1)e^{-\lambda} \end{aligned} \]

It is not 0, since \(P(X = 0) \gt 0\), and it is at least \(e^{-\lambda}\), so B is false. Option D would need it to exceed \(\lambda(\lambda + 1)e^{-\lambda}\), which fails whenever \(\lambda \ge 1\).

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