Poisson Distribution Approximated by Normal Distribution

Theorem

Let $X$ be a discrete random variable which has the Poisson distribution $\Poisson \lambda$.

Then for large $\lambda$:

$\Poisson \lambda \approx \Gaussian \lambda \lambda$

where $\Gaussian \lambda \lambda$ denotes the normal distribution.


Proof


This theorem requires a proof.
In particular: Use Central Limit Theorem
You can help $\mathsf{Pr} \infty \mathsf{fWiki}$ by crafting such a proof.
To discuss this page in more detail, feel free to use the talk page.
When this work has been completed, you may remove this instance of {{ProofWanted}} from the code.
If you would welcome a second opinion as to whether your work is correct, add a call to {{Proofread}} the page.


Sources

  • 2008: David Nelson: The Penguin Dictionary of Mathematics (4th ed.) ... (previous) ... (next): normal approximation