Let X_n be a standard real symmetric (complex Hermitian) Wigner matrix, y₁, y₂, . . . , y_n a sequence of independent real random variables independent of X_n. Consider the deformed Wigner matrix H_n,α = n^-1/2X_n + n^-α/2 diag (y₁, . . . , y_n), where 0<α<1. It is well known that the average spectral distribution is the classical Wigner semicircle law, i.e., the Stieltjes transform m_n,α(z) converges in probability to the corresponding Stieltjes transform m(z). In this paper, we shall give the asymptotic estimate for the expectation Em_n,α(z) and varianceVar(m_n,α(z)), and establish the central limit theorem for linear statistics with sufficiently regular test function. A basic tool in the study is Stein’s equation and its generalization which naturally leads to a certain recursive equation.