What does the central limit theorem state about sums of random variables?

• A. The sum becomes a uniform distribution.
• B. The sum remains non-normal if the original is not normal.
• C. The sum tends toward a normal distribution as the sample size becomes large, regardless of the original distribution.
• D. The sum is always exactly normal for any sample size.

Answer: (C)