The problem concerns the classification of an individual on the basis of a set of measurements into one of two populations assumed to have the multivariate normal form with the same dispersion matrix. Probabilities of misclassification predicted with the discriminant function under several problematic conditions are computed and factors associated with these probabilities are discussed. Predicted values are compared with those obtained empirically through cross-validation.