In inferential statistics, why is the Central Limit Theorem useful when performing hypothesis tests or creating confidence intervals? Answer Options: A. It shows that larger samples have higher variability. B. It proves that the population distribution becomes perfectly normal. C. It ensures that the distribution of sample means is approximately normal, which allows for more accurate inferences about the population. D. It eliminates the possibility of different errors (i.e, Type I and Type II errors)