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?

• A. The chi-square value has no relationship with the fit between the actual and predicted data.
• B. The chi-square value is insignificant.
• C. The observed data significantly differs from the expected values.
• D. The observed data fits the expected values perfectly.