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A random variable X follow Poisson distribution such that P(X=1) = 2P(X=2) , then P(X=0) is

Solution

✅ Correct Option: 2

For any Poisson distribution, the probability formula is:

P(X=k)=e−λ×λkk!P(X = k) = \frac{e^{-\lambda} \times \lambda^k}{k!}

where λ\lambda is the parameter of the distribution and kk is the value we're looking for.


Given: P(X=1)=2P(X=2)P(X=1) = 2P(X=2)

For P(X=1)P(X=1):

P(X=1)=e−λ×λ11!P(X=1) = \frac{e^{-\lambda} \times \lambda^1}{1!}

P(X=1)=e−λ×λP(X=1) = e^{-\lambda} \times \lambda

For P(X=2)P(X=2):

P(X=2)=e−λ×λ22!P(X=2) = \frac{e^{-\lambda} \times \lambda^2}{2!}

P(X=2)=e−λ×λ22P(X=2) = \frac{e^{-\lambda} \times \lambda^2}{2}


Using the condition P(X=1)=2P(X=2)P(X=1) = 2P(X=2):

e−λ×λ=2×(e−λ×λ22)e^{-\lambda} \times \lambda = 2 \times \left(\frac{e^{-\lambda} \times \lambda^2}{2}\right)

e−λ×λ=e−λ×λ2e^{-\lambda} \times \lambda = e^{-\lambda} \times \lambda^2

Dividing both sides by e−λe^{-\lambda}:

λ=λ2\lambda = \lambda^2

λ2−λ=0\lambda^2 - \lambda = 0

λ(λ−1)=0\lambda(\lambda - 1) = 0

This gives λ=0\lambda = 0 or λ=1\lambda = 1

Since λ\lambda cannot be 0 for a valid Poisson distribution, λ=1\lambda = 1


Finding P(X=0)P(X=0) with λ=1\lambda = 1:

P(X=0)=e−1×100!P(X=0) = \frac{e^{-1} \times 1^0}{0!}

P(X=0)=e−1×11P(X=0) = \frac{e^{-1} \times 1}{1}

P(X=0)=1eP(X=0) = \frac{1}{e}

Therefore, P(X=0)=1eP(X=0) = \frac{1}{e}

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