Which of the following statement regarding the central limit theorem (CLT) is true? Question 2 options: The central limit theorem only applies to normally distributed random variable CLT states the sampling distribution of the sample means becomes approximately normal when the sample size n is large enough, even though the population distribution is not normal. CLT states that the variance of the sample means will approach to the population variance if the sample size n is large enough. CLT theorem states that the distribution of sample means is exactly normal if the population is exactly normal.