A note on the normal approximation error for randomly weighted self-normalized sums

We obtain rates of convergence to the normal law of randomly weighted self-normalized sums. These rates are seen to hold for the convergence of a number of important statistics, such as for instance Student's t-statistic or the empirical correlation coefficient.