CLT establishes that, in most situations, when independent random variables are added, their properly normalized sum tends toward a normal distribution even if the original variables themselves are not normally distributed.
the authors prove that for large enough data, the sampling distribution of a certain function of the Pearson's correlation coefficient follows the Student's t-distribution with n − 2 degrees of freedom.