the central limit theorem state that:

a- when n gets large, the sample mean x gets closer and closer to the population mean u.

b- if a variable x has a normal distribution, then for any sample size n, the sampling distribution of x is also normal.

c- if a variable x follows a normal distribution, then when n gets large, the sampling distribution of x is exactly normal.

d-when n gets large, the standard deviation of the sample mean x gets closer and closer to o/square root of n.

e-regardless of the population distribution of a variable x, when n gets large, the sampling distribution of x is approximately normal.