In this paper, the stochastic equivalence of some families of split feasibility problems has been studied. The work adopted iterative random-type approach using a firmly non-expansive mapping in Hilbert space. For solution of the problems, strong convergence to the random fixed-point was demonstrated. The findings of this study will combine, broaden, and generalize various prior classical findings on the studied families of split feasibility problems.