Final answer:
When the F-test statistic is greater than the critical F-score for ANOVA, the correct conclusion is to reject the null hypothesis.
Step-by-step explanation:
When the F-test statistic is greater than the critical F-score for ANOVA, the correct conclusion is to reject the null hypothesis. The F-test statistic measures the variation between groups divided by the variation within the groups. If this statistic is large enough to surpass the critical F-score, it indicates that the means of the groups are significantly different. Therefore, we reject the null hypothesis which states that there is no difference between the means.