Final answer:
The fact that the sampling distribution of sample means can be approximated by a normal probability distribution whenever the sample size is large is based on the Central Limit Theorem.
Step-by-step explanation:
The fact that the sampling distribution of sample means can be approximated by a normal probability distribution whenever the sample size is large is based on the Central Limit Theorem. The Central Limit Theorem states that if samples of sufficient size are drawn from a population, the distribution of sample means will be normal, even if the distribution of the population is not normal.