A concept of q-generalization of normal distribution arises in the context of statistical mechanics. In this article, we introduce a q-generalization of normal approximation. By using Stein's method, zero and square bias approaches are applied to derive the bound in q-normal approximation. Our results also cover the bound of normal approximation for Student’s tdistribution.
