Answer:
Sampling Error
Explanation:
We are told that the phenomenon is the naturally occurring difference between a sample statistic and the corresponding population parameter.
Now, it's sampling error because sampling error is simply defined as a deviation or difference in a sampled value as against the true population value due to the fact the sample is not a true representative of the population.
This is also similar to the definition given in the question.
Thus, it's sampling error!