Final answer:
If you have a high PRE or high F ratio, you would predict the p-value to be small. A high PRE (preconceived a or level of significance) and a high F ratio indicate significant evidence against the null hypothesis.
Step-by-step explanation:
If you have a high PRE or high F ratio, you would predict the p-value to be small. A high PRE (preconceived a or level of significance) indicates that the null hypothesis is more likely to be rejected. Similarly, a high F ratio suggests that the variation between group means is greater than the variation within the groups, providing significant evidence against the null hypothesis. In practice, a p-value less than 0.05 (or sometimes even smaller) is considered statistically significant and would lead to the rejection of the null hypothesis.