The normal range of chi-square values is determined by the number of degrees of freedom (df) and the level of significance (alpha) employed. In general, a lower chi-square value implies a better match between the observed and predicted values, whereas a greater number suggests a worse fit. What does it mean when the chi-square value exceeds the critical value?