The Central Limit Theorem is important in statistics because
for any population, it says the sampling distribution of the sample mean is approximately normal, regardless of the sample size.
for any sized sample, it says the sampling distribution of the sample mean is approximately normal.
for a large sample size n, it says the population is approximately normal
for a large sample size n, it says the sampling distribution of the sample mean is approximately normal, regardless of the shape of the population