Correct option is C
Explanation-
We are measuring a continuous variable (seed weight), which varies naturally due to genetics, environment, etc. This comes from a large number of samples (10,000 seeds) and is likely influenced by many small, independent factors
Option c - Gaussian Distribution (Normal Distribution):
It shows Bell-shaped curve an applies to continuous data (e.g., height, weight, seed mass)
It follows the Central Limit Theorem - When a large number of independent variables contribute additively to a variable (like weight), the distribution of that variable tends to be normal (Gaussian).
Very common in biology for traits like:
1. Seed size
2. Fruit weight
3. Leaf length
Incorrect options-
1. Binomial Distribution:
Discrete outcomes (e.g., success/failure). It is not suitable for continuous measurements like weight.
2. Poisson Distribution:
This is used for counting rare events (e.g., mutations, arrivals in a time frame) and not for continuous variables like weight.
4. No Predictable Distribution:
This is not true in this case. With 10,000 data points, a very predictable pattern (Gaussian) emerges.
So, the correct answer is c - Gaussian
