A model is fitted to experimental data by means of a normalizing factor, λ(x), over a range of material compositions, x0 < x < x1. The fitting involves certain modifications of data points. The total discrepancy of the modifications is expressed as δ(x). To an error no greater than δ(x), a model agrees with experiment. Fitting was made to two-group diffusion theory, but the method has general applicability.