Question

an essential component of the central limit theorem is that

Answer 1

It states that sampling distribution of sample means actually approaches the normal distribution when the size of sample gets bigger.

The fact holds particularly true for the sample size more than thirty.

All it is saying is that as we take lots of samples, particularly biggest ones, our graph of sample means will truly look more similar to normal distribution.