The central limit theorem in probability theory states that:

a$)$ The sum of a large number of independent random variables, each with finite mean and variance, will be approximately normally distributed.

b$)$ The sum of a large number of independent random variables will converge to a uniform distribution.

c$)$ The product of a large number of independent random variables will be normally distributed.

d$)$ The sum of a large number of dependent random variables will be uniformly distributed.