  We give an improved estimate for the regularity of the conditional
distribution of the empiric mean of a finite sample of IID random variables,
conditional on the sample "fluctuations", extending the well-known property of
Gaussian IID samples. Specifically, we replace the bounds in probability,
established in our earlier works, by those in distribution, and this results in
the optimal regularity exponent in the final estimate.
