Answer: C. 0.0264.
Explanation:
Given : Sample size :

Population mean :

Standard deviation:

Sample mean :

We assume that the age of horses are normally distributed.
Test statistic:
z-score :

i.e.

Using the standard normal distribution table , the probability that a sample mean is 12 or larger for a sample from the horse population :-

Hence, the required probability = 0.0264