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(A) The Poisson distribution is a limiting case of the Binomial distribution under specific conditions: $n$ is very large $(n 	o \infty)$ and $p$ is

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(iv)

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(A) The Poisson distribution is a limiting case of the Binomial distribution under specific conditions: $n$ is very large $(n 	o \infty)$ and $p$ is very small $(p 	o 0)$ such that $np = \lambda$ remains constant.Statement $(i)$ describes the basic requirement for a Bernoulli trial.Statement (ii) is a necessary condition for the Poisson approximation.Statement (iii) is a requirement for both Binomial and Poisson distributions.Statement (iv) states that the probability $p$ of success is very large. This contradicts the fundamental assumption of the Poisson distribution,which models rare events where $p$ is small. Therefore,(iv) is not suitable.

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