Step 1: Understanding the Concept:
For a Poisson distribution, the mean and variance are equal to \(\lambda\).
The coefficient of variation is \(\frac{\sigma}{\mu} \times 100\).
Step 2: Key Formula or Approach:
For Poisson, \(\mu = \lambda\), \(\sigma = \sqrt{\lambda}\).
\[
CV = \frac{\sqrt{\lambda}}{\lambda} \times 100 = \frac{1}{\sqrt{\lambda}} \times 100.
\]
Step 3: Detailed Explanation:
Given \(\lambda = 36\).
Then \(\sqrt{\lambda} = 6\).
So \(CV = \frac{1}{6} \times 100\).
This is option (A).
The coefficient of variation for Poisson decreases as the mean increases.
For large \(\lambda\), the distribution becomes more symmetric.