  In this work, we deal with an iteration method for approximating a fixed
point of a contraction mapping using the Mann's algorithm under functional
random errors. We first show its almost complete convergence to the fixed point
by mean of an exponential inequality and then we specify the induced rate of
convergence. We finally build a confidence set for the fixed point.
