A technique of statistical design of experiments (DoE) is combined with finite element (FE) analysis to evaluate the strength reduction factor (SRF) sensitivity to slope geometry and soil properties such as slope height (H), the slope angle of inclination (β), friction angle (φ'), cohesion (c' or c), elastic modulus (E), Poisson's ratio (v), pore water coefficient (ru), and unit weight (γ). The analysis is conducted by performing two-dimensional FE analysis in a central composite design fashion classifying the soil into three groups: purely cohesive (c, undrained analysis), purely frictional (φ'), and mixed soils (c' and φ'). The findings indicate that for the mixed soils, six main coefficients (c', β, ru, φ', γ, H) and their interactions have significant effects on the response. For the purely cohesive soils, c, H, β, and their interactions have larger effects on SRF. For purely frictional soils, the larger positive effect comes from φ', and the large negative effects come from β, ru, and their interactions. Based on the results, recommendations for achieving optimum stabilization techniques for each soil group are given.