Final answer:
If the obtained chi-square value is equal to or higher than the critical value, you should reject the null hypothesis.
Step-by-step explanation:
If the obtained chi-square value is equal to or higher than the critical value, you should reject the null hypothesis. The critical value represents the threshold beyond which the chi-square value is deemed significant. By rejecting the null hypothesis, you conclude that there is a significant relationship or difference between the observed and expected values in the chi-square test.